Memory Wiki

🔧 terminal({ "command": "HERMES_HOME=/home/profe/.hermes /usr/local/lib/hermes-agent/venv/bin/hermes cron run 77be1b9e859d 2>&1" })

🔧 terminal({ "command": "HERMES_HOME=/home/profe/.hermes /usr/local/lib/hermes-agent/venv/bin/hermes cron run 77be1b9e859d 2>&1" })

🔧 terminal({ "command": "ls -la \"/002 Donna/video pipeline/004 tts friendly .txt/The Gentleman Thief Season 1/\" && echo \"---\" && ls -la \"/002 Donna/video pipeline/005 .mp3/The Gentleman Thief Season 1/\"" })

🔧 terminal({ "command": "ls -la \"/002 Donna/video pipeline/005 .mp3/The Gentleman Thief Season 1/_chunks/\" && echo \"---\" && for f in \"/002 Donna/video pipeline/005 .mp3/The Gentleman Thief Season 1/\"*.mp3; do echo \"$f:\"; ffprobe -v error -show_entries format=duration,bit_rate -of default=noprint_wrappers=1 \"$f\" 2>&1 | head -5; done" })

🔧 terminal({ "command": "hermes kanban show t_9b652846" })

🔧 terminal({ "command": "HERMES_HOME=/home/profe/.hermes /usr/local/lib/hermes-agent/venv/bin/hermes cron run 77be1b9e859d 2>&1", "timeout": 600 })

🔧 terminal({ "command": "python3 /home/profe/.hermes/scripts/prudence-gate.py" })

🔧 terminal({ "command": "sqlite3 /home/profe/.hermes/state.db \"SELECT id, role, timestamp, content FROM messages WHERE id IN (160255,160256,160259,160261,160262,160263,160265,160267,160269,160271,160273,160275,160277,160279,160281,160283,160285,160287,160289,160291,160293,160295,160297,160299,160301,160303,160305,160307,160309,160311,160313,160315,160317,160319,160321,160323,160325,160327,160329,160331,160333,160335,160337,160339,160341,160343,160345,160347,160349,160351,160353,160354,160355,160357,160359,160361,160363,160364,160365,160369,160371,160372,160373,160376,160378,160379,160380,160383,160385,160386,160387,160390,160392,160393,160394,160396,160398,160400,160402,160403,160404,160407,160409,160410,160411,160414,160416,160417,160418,160421,160423,160424,160425,160428,160430,160431,160432,160434,160435,160436,160439,160441,160442,160443,160446,160448,160449,160450,160454,160456,160457,160458,160460,160461,160462,160464) ORDER BY id\"" })

🔧 terminal({ "command": "sqlite3 /home/profe/.hermes/state.db \".tables\" && echo \"---SCHEMA---\" && sqlite3 /home/profe/.hermes/state.db \".schema messages\"" })

🔧 terminal({ "command": "sqlite3 /home/profe/.hermes/state.db \"SELECT COUNT(*) FROM messages WHERE id IN (160255,160256)\" && echo \"---\" && sqlite3 /home/profe/.hermes/state.db \"SELECT MIN(id), MAX(id), COUNT(*) FROM messages\"" })

🔧 terminal({ "command": "cat /home/profe/.hermes/scripts/prudence-gate.py 2>/dev/null | head -100" })

🔧 terminal({ "command": "cat /home/profe/.hermes/scripts/prudence-gate.py 2>/dev/null | sed -n '100,200p'" })

🔧 terminal({ "command": "ls -la /home/profe/.hermes/profiles/donna/state.db /home/profe/.hermes/state.db 2>&1 && echo \"---\" && sqlite3 /home/profe/.hermes/profiles/donna/state.db \"SELECT MIN(id), MAX(id), COUNT(*) FROM messages\" 2>&1" })

🔧 terminal({ "command": "sqlite3 /home/profe/.hermes/profiles/donna/state.db \"SELECT id, role, timestamp, content FROM messages WHERE id IN (160255,160256,160259,160261,160262,160263,160265,160267,160269,160271,160273,160275,160277,160279,160281,160283,160285,160287,160289,160291,160293,160295,160297,160299,160301,160303,160305,160307,160309,160311,160313,160315,160317,160319,160321,160323,160325,160327,160329,160331,160333,160335,160337,160339,160341,160343,160345,160347,160349,160351,160353,160354,160355,160357,160359,160361,160363,160364,160365,160369,160371,160372,160373,160376,160378,160379,160380,160383,160385,160386,160387,160390,160392,160393,160394,160396,160398,160400,160402,160403,160404,160407,160409,160410,160411,160414,160416,160417,160418,160421,160423,160424,160425,160428,160430,160431,160432,160434,160435,160436,160439,160441,160442,160443,160446,160448,160449,160450,160454,160456,160457,160458,160460,160461,160462,160464) ORDER BY id\" > /tmp/prudence_msgs.txt 2>&1\nwc -l /tmp/prudence_msgs.txt\nhead -c 500 /tmp/prudence_msgs.txt" })

🔧 terminal({ "command": "sqlite3 /home/profe/.hermes/profiles/donna/state.db \"SELECT DISTINCT session_id FROM messages WHERE id IN (160255,160256,160259,160261,160262,160263,160265,160267,160269,160271,160273,160275,160277,160279,160281,160283,160285,160287,160289,160291,160293,160295,160297,160299,160301,160303,160305,160307,160309,160311,160313,160315,160317,160319,160321,160323,160325,160327,160329,160331,160333,160335,160337,160339,160341,160343,160345,160347,160349,160351,160353,160354,160355,160357,160359,160361,160363,160364,160365,160369,160371,160372,160373,160376,160378,160379,160380,160383,160385,160386,160387,160390,160392,160393,160394,160396,160398,160400,160402,160403,160404,160407,160409,160410,160411,160414,160416,160417,160418,160421,160423,160424,160425,160428,160430,160431,160432,160434,160435,160436,160439,160441,160442,160443,160446,160448,160449,160450,160454,160456,160457,160458,160460,160461,160462,160464)\"\necho \"---\"\nsqlite3 /home/profe/.hermes/profiles/donna/state.db \".schema sessions\"" })

🔧 terminal({ "command": "sqlite3 /home/profe/.hermes/profiles/donna/state.db \"SELECT id, source, user_id, model, started_at, ended_at, message_count, title FROM sessions WHERE id IN ('cron_77be1b9e859d_20260713_230501','cron_4523303989c2_20260713_230501','cron_90c9a4c57966_20260713_230901','cron_77be1b9e859d_20260713_231001','cron_77be1b9e859d_20260713_231501','cron_77be1b9e859d_20260713_232001','cron_77be1b9e859d_20260713_232501','cron_90c9a4c57966_20260713_232501','cron_77be1b9e859d_20260713_233001','cron_77be1b9e859d_20260713_233501','cron_2deb9cc9479c_20260713_233501','cron_77be1b9e859d_20260713_234001','cron_90c9a4c57966_20260713_234101','cron_77be1b9e859d_20260713_234501','cron_77be1b9e859d_20260713_235001','cron_77be1b9e859d_20260713_235501','cron_90c9a4c57966_20260713_235701','cron_77be1b9e859d_20260714_000001') ORDER BY started_at\"" })

🔧 terminal({ "command": "ls -la \"/001 profe/wiki.englishwithprofejaimi.space/\" 2>&1" })

🔧 terminal({ "command": "ls \"/001 profe/wiki.englishwithprofejaimi.space/sessions/\" | tail -10\necho \"---\"\nls \"/001 profe/wiki.englishwithprofejaimi.space/bodega/\"\necho \"---\"\nls \"/001 profe/wiki.englishwithprofejaimi.space/projects/\"" })

🔧 terminal({ "command": "ls \"/001 profe/wiki.englishwithprofejaimi.space/projects/rebuild/\"\necho \"---\"\nls \"/001 profe/wiki.englishwithprofejaimi.space/projects/rebuild/n8n/\" 2>&1" })

🔧 read_file({ "limit": 200, "path": "/001 profe/wiki.englishwithprofejaimi.space/sessions/session_cron_77be1b9e859d_20260614_170610.html" })

🔧 read_file({ "limit": 90, "offset": 200, "path": "/001 profe/wiki.englishwithprofejaimi.space/sessions/session_cron_77be1b9e859d_20260614_170610.html" })

🔧 read_file({ "path": "/001 profe/wiki.englishwithprofejaimi.space/projects/rebuild/n8n/index.html" })

🔧 terminal({ "command": "ls -lt \"/001 profe/wiki.englishwithprofejaimi.space/sessions/\" | head -8\necho \"---\"\ncat \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260713_190848.md\" 2>&1 | head -100" })

🔧 terminal({ "command": "cat \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260713_190848.md\" 2>&1 | sed -n '100,250p'" })

🔧 terminal({ "command": "wc -l \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260713_190848.md\"\necho \"---\"\ntail -40 \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260713_190848.md\"" })

🔧 terminal({ "command": "cat \"/001 profe/wiki.englishwithprofejaimi.space/bodega/operator-signals.md\" 2>&1 | head -40\necho \"---LITREVIEW---\"\ncat \"/001 profe/wiki.englishwithprofejaimi.space/bodega/lit-review-signals.md\" 2>&1 | head -40\necho \"---PERSONAL---\"\ncat \"/001 profe/wiki.englishwithprofejaimi.space/bodega/personal-signals.md\" 2>&1 | head -40" })

🔧 terminal({ "command": "cat \"/001 profe/wiki.englishwithprofejaimi.space/bodega/brand-signals.md\" 2>&1 | head -20\necho \"---METHODOLOGY---\"\ncat \"/001 profe/wiki.englishwithprofejaimi.space/bodega/methodology-signals.md\" 2>&1 | head -20\necho \"---AVATAR---\"\ncat \"/001 profe/wiki.englishwithprofejaimi.space/bodega/avatar-signals.md\" 2>&1 | head -20\necho \"---CONTENT---\"\ncat \"/001 profe/wiki.englishwithprofejaimi.space/bodega/content-signals.md\" 2>&1 | head -20\necho \"---COPY---\"\ncat \"/001 profe/wiki.englishwithprofejaimi.space/bodega/copy-signals.md\" 2>&1 | head -20" })

🔧 terminal({ "command": "head -60 \"/001 profe/wiki.englishwithprofejaimi.space/sessions/cron_20260713_230706_8b16f2.html\"" })

🔧 terminal({ "command": "cat /home/profe/.hermes/profiles/donna/cron/jobs.json 2>&1 | head -100" })

🔧 terminal({ "command": "cat /home/profe/.hermes/profiles/donna/cron/jobs.json 2>&1 | python3 -c \"import json, sys; data = json.load(sys.stdin); print({j['id']: j['name'] for j in data['jobs']})\"" })

🔧 read_file({ "limit": 10, "path": "/home/profe/.hermes/profiles/donna/cron/jobs.json" })

🔧 search_files({ "path": "/home/profe/.hermes/profiles/donna/cron/jobs.json", "pattern": "name|schedule_display|expr|id" })

🔧 terminal({ "command": "sqlite3 /home/profe/.hermes/profiles/donna/state.db \"SELECT id, session_id, role, timestamp, content, tool_name FROM messages WHERE id IN (160255,160256,160259,160261,160262,160263,160265,160267,160269,160271,160273,160275,160277,160279,160281,160283,160285,160287,160289,160291,160293,160295,160297,160299,160301,160303,160305,160307,160309,160311,160313,160315,160317,160319,160321,160323,160325,160327,160329,160331,160333,160335,160337,160339,160341,160343,160345,160347,160349,160351,160353,160354,160355,160357,160359,160361,160363,160364,160365,160369,160371,160372,160373,160376,160378,160379,160380,160383,160385,160386,160387,160390,160392,160393,160394,160396,160398,160400,160402,160403,160404,160407,160409,160410,160411,160414,160416,160417,160418,160421,160423,160424,160425,160428,160430,160431,160432,160434,160435,160436,160439,160441,160442,160443,160446,160448,160449,160450,160454,160456,160457,160458,160460,160461,160462,160464) ORDER BY id\" > /tmp/prudence_full.txt 2>&1\nwc -l /tmp/prudence_full.txt\nhead -2 /tmp/prudence_full.txt" })

🔧 terminal({ "command": "sqlite3 /home/profe/.hermes/profiles/donna/state.db \"SELECT id, session_id, role, timestamp, content FROM messages WHERE id IN (160255,160256,160259,160261,160262,160263,160265,160267,160269,160271,160273,160275,160277,160279,160281,160283,160285,160287,160289,160291,160293,160295,160297,160299,160301,160303,160305,160307,160309,160311,160313,160315,160317,160319,160321,160323,160325,160327,160329,160331,160333,160335,160337,160339,160341,160343,160345,160347,160349,160351,160353,160354,160355,160357,160359,160361,160363,160364,160365,160369,160371,160372,160373,160376,160378,160379,160380,160383,160385,160386,160387,160390,160392,160393,160394,160396,160398,160400,160402,160403,160404,160407,160409,160410,160411,160414,160416,160417,160418,160421,160423,160424,160425,160428,160430,160431,160432,160434,160435,160436,160439,160441,160442,160443,160446,160448,160449,160450,160454,160456,160457,160458,160460,160461,160462,160464) ORDER BY session_id, id\" > /tmp/prudence_by_session.txt 2>&1\necho \"---\"\nsqlite3 /home/profe/.hermes/profiles/donna/state.db \"SELECT DISTINCT session_id, role, COUNT(*) FROM messages WHERE id IN (160255,160256,160259,160261,160262,160263,160265,160267,160269,160271,160273,160275,160277,160279,160281,160283,160285,160287,160289,160291,160293,160295,160297,160299,160301,160303,160305,160307,160309,160311,160313,160315,160317,160319,160321,160323,160325,160327,160329,160331,160333,160335,160337,160339,160341,160343,160345,160347,160349,160351,160353,160354,160355,160357,160359,160361,160363,160364,160365,160369,160371,160372,160373,160376,160378,160379,160380,160383,160385,160386,160387,160390,160392,160393,160394,160396,160398,160400,160402,160403,160404,160407,160409,160410,160411,160414,160416,160417,160418,160421,160423,160424,160425,160428,160430,160431,160432,160434,160435,160436,160439,160441,160442,160443,160446,160448,160449,160450,160454,160456,160457,160458,160460,160461,160462,160464) GROUP BY session_id, role ORDER BY session_id\"\necho \"---SESSION META---\"\nsqlite3 -header -column /home/profe/.hermes/profiles/donna/state.db \"SELECT id, source, model, started_at, ended_at, message_count, title, estimated_cost_usd, input_tokens, output_tokens, cache_read_tokens FROM sessions WHERE id IN ('cron_77be1b9e859d_20260713_230501','cron_4523303989c2_20260713_230501','cron_90c9a4c57966_20260713_230901','cron_77be1b9e859d_20260713_231001','cron_77be1b9e859d_20260713_231501','cron_77be1b9e859d_20260713_232001','cron_77be1b9e859d_20260713_232501','cron_90c9a4c57966_20260713_232501','cron_77be1b9e859d_20260713_233001','cron_77be1b9e859d_20260713_233501','cron_2deb9cc9479c_20260713_233501','cron_77be1b9e859d_20260713_234001','cron_90c9a4c57966_20260713_234101','cron_77be1b9e859d_20260713_234501','cron_77be1b9e859d_20260713_235001','cron_77be1b9e859d_20260713_235501','cron_90c9a4c57966_20260713_235701','cron_77be1b9e859d_20260714_000001') ORDER BY started_at\"" })

🔧 terminal({ "command": "cat /tmp/prudence_by_session.txt | wc -l\necho \"---\"\nhead -3 /tmp/prudence_by_session.txt | cut -c1-200" })

🔧 write_file({ "content": "#!/usr/bin/env python3\n\"\"\"Build cron session HTML + categorized bullets + n8n index update from prudence-gate batch.\"\"\"\nimport sqlite3\nimport hashlib\nimport os\nimport json\nfrom datetime import datetime, timezone\nfrom collections import defaultdict\nfrom html import escape\n\n# ---- Config ----\nDB_PATH = \"/home/profe/.hermes/profiles/donna/state.db\"\nSESSIONS_DIR = \"/001 profe/wiki.englishwithprofejaimi.space/sessions\"\nBODEGA_DIR = \"/001 profe/wiki.englishwithprofejaimi.space/bodega\"\nN8N_INDEX = \"/001 profe/wiki.englishwithprofejaimi.space/projects/rebuild/n8n/index.html\"\n\n# Cron hash -> job name (from /home/profe/.hermes/profiles/donna/cron/jobs.json)\nCRON_JOBS = {\n \"4523303989c2\": \"Prudence Hourly Gate\",\n \"2bf831c0e976\": \"Prudence Dream Housekeeping\",\n \"77be1b9e859d\": \"Prudence Heartbeat Watch\",\n \"90c9a4c57966\": \"check-coach-destiny-build\",\n \"2deb9cc9479c\": \"gentleman-thief-tts-agent\",\n}\n\n# Message IDs from prudence-gate WORK batch\nMSG_IDS = [160255,160256,160259,160261,160262,160263,160265,160267,160269,160271,160273,160275,160277,160279,160281,160283,160285,160287,160289,160291,160293,160295,160297,160299,160301,160303,160305,160307,160309,160311,160313,160315,160317,160319,160321,160323,160325,160327,160329,160331,160333,160335,160337,160339,160341,160343,160345,160347,160349,160351,160353,160354,160355,160357,160359,160361,160363,160364,160365,160369,160371,160372,160373,160376,160378,160379,160380,160383,160385,160386,160387,160390,160392,160393,160394,160396,160398,160400,160402,160403,160404,160407,160409,160410,160411,160414,160416,160417,160418,160421,160423,160424,160425,160428,160430,160431,160432,160434,160435,160436,160439,160441,160442,160443,160446,160448,160449,160450,160454,160456,160457,160458,160460,160461,160462,160464]\n\n\ndef fmt_ts(ts):\n return datetime.fromtimestamp(ts, tz=timezone.utc).strftime(\"%Y-%m-%d %H:%M:%S\")\n\n\ndef short_hash(s, n=6):\n return hashlib.sha1(s.encode()).hexdigest()[:n]\n\n\ndef get_job_name(session_id):\n \"\"\"Extract cron hash from session_id and resolve to job name.\"\"\"\n parts = session_id.split(\"_\")\n if len(parts) >= 2 and parts[0] == \"cron\":\n cron_hash = parts[1]\n return CRON_JOBS.get(cron_hash, f\"cron-{cron_hash}\")\n return \"(interactive)\"\n\n\ndef get_role_display(role):\n return {\"user\": \"You\", \"assistant\": \"Donna\"}.get(role, role.capitalize())\n\n\ndef render_msg_block(msg_id, role, ts, content):\n role_cls = role\n role_label = get_role_display(role)\n utc = fmt_ts(ts)\n if content is None or content.strip() == \"\":\n body = '<div class=\"msg-body empty-note\">(empty &mdash; tool-call-only turn / cron placeholder)</div>'\n else:\n body = f'<div class=\"msg-body\">{escape(content)}</div>'\n return (\n f'<div class=\"message {role_cls}\">\\n'\n f' <div class=\"msg-header\"><span class=\"msg-role\">{role_label}</span>'\n f'<span class=\"msg-time\">{utc}</span>'\n f'<span class=\"msg-id\" style=\"color:#6b7680;\">#{msg_id}</span></div>\\n'\n f' {body}\\n'\n f'</div>'\n )\n\n\ndef main():\n conn = sqlite3.connect(DB_PATH)\n cur = conn.cursor()\n\n placeholders = \",\".join(\"?\" for _ in MSG_IDS)\n cur.execute(\n f\"SELECT id, session_id, role, timestamp, content FROM messages \"\n f\"WHERE id IN ({placeholders}) ORDER BY session_id, id\",\n MSG_IDS,\n )\n rows = cur.fetchall()\n\n # Group by session_id\n by_session = defaultdict(list)\n session_ids = []\n for r in rows:\n sid = r[1]\n if sid not in by_session:\n session_ids.append(sid)\n by_session[sid].append(r)\n\n # Session metadata\n sid_placeholders = \",\".join(\"?\" for _ in session_ids)\n cur.execute(\n f\"SELECT id, source, model, started_at, ended_at, message_count, \"\n f\"estimated_cost_usd, input_tokens, output_tokens, cache_read_tokens, \"\n f\"cache_write_tokens, tool_call_count \"\n f\"FROM sessions WHERE id IN ({sid_placeholders})\",\n session_ids,\n )\n sess_meta = {r[0]: r for r in cur.fetchall()}\n\n # Aggregate stats\n total_msgs = len(rows)\n n_sessions = len(session_ids)\n min_ts = min(r[3] for r in rows)\n max_ts = max(r[3] for r in rows)\n total_input = sum(sess_meta[s][6] or 0 for s in session_ids)\n total_output = sum(sess_meta[s][7] or 0 for s in session_ids)\n total_cache_read = sum(sess_meta[s][8] or 0 for s in session_ids)\n total_cost = sum(sess_meta[s][5] or 0 for s in session_ids)\n models_set = sorted({sess_meta[s][2] for s in session_ids if sess_meta[s][2]})\n\n # Session composition\n comp = defaultdict(int)\n for s in session_ids:\n comp[get_job_name(s)] += 1\n comp_str = \", \".join(f\"{v}&times; {k}\" for k, v in sorted(comp.items(), key=lambda x: -x[1]))\n\n now = datetime.now(timezone.utc)\n batch_slug = now.strftime(\"%Y%m%d_%H%M%S\")\n hash_input = \",\".join(str(i) for i in MSG_IDS)\n file_hash = short_hash(hash_input + str(min_ts))\n filename = f\"cron_{batch_slug}_{file_hash}.html\"\n out_path = os.path.join(SESSIONS_DIR, filename)\n\n # Build HTML\n html = []\n html.append('<!DOCTYPE html>')\n html.append('<html lang=\"en\">')\n html.append('<head>')\n html.append(' <meta charset=\"UTF-8\">')\n html.append(' <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">')\n html.append(f' <title>Cron Batch {batch_slug} &mdash; Memory Wiki</title>')\n html.append(' <link rel=\"stylesheet\" href=\"/assets/style.css\">')\n html.append(' <style>')\n html.append('.session-group { margin: 2rem 0 3rem; border-left: 3px solid #1d2230; padding-left: 1rem; }')\n html.append('.session-group h3 { margin-bottom: 0.25rem; font-size: 1.05rem; }')\n html.append('.session-meta { color: #8b949e; font-size: 13px; margin: 0 0 1rem; }')\n html.append('.message { margin: 0.5rem 0; padding: 0.5rem 0.75rem; border-radius: 6px; font-size: 14px; }')\n html.append('.message.user { background: #161b22; border-left: 3px solid #58a6ff; }')\n html.append('.message.assistant { background: #0d1117; border-left: 3px solid #7ee787; }')\n html.append('.message.tool { background: #11151c; border-left: 3px solid #d29922; }')\n html.append('.msg-header { color: #8b949e; font-size: 12px; margin-bottom: 0.25rem; display:flex; gap:12px; }')\n html.append('.msg-role { font-weight: 600; }')\n html.append('.msg-body { white-space: pre-wrap; word-wrap: break-word; }')\n html.append('.empty-note { color:#6b7680; font-style:italic; font-size:13px; }')\n html.append(' </style>')\n html.append('</head>')\n html.append('<body>')\n html.append('<header>')\n html.append(' <div class=\"container\">')\n html.append(' <h1><a href=\"/\">Memory Wiki</a></h1>')\n html.append(' <nav>')\n html.append(' <a href=\"/\">Home</a>')\n html.append(' <a href=\"/wiki/\">Wiki</a>')\n html.append(' <a href=\"/bodega/\">Bodega</a>')\n html.append(' <a href=\"/projects/\">Projects</a>')\n html.append(' </nav>')\n html.append(' </div>')\n html.append('</header>')\n html.append('<main class=\"container\">')\n html.append(f'<h2>Cron Batch {batch_slug}</h2>')\n html.append(f'<p style=\"color: var(--text-dim); margin-bottom: 1.5rem;\">')\n html.append(f'Prudence WORK batch &middot; {now.strftime(\"%Y-%m-%d %H:%M:%S\")} UTC &middot; '\n f'{total_msgs} messages &middot; {n_sessions} sessions')\n html.append('</p>')\n html.append('<div class=\"summary\" style=\"background:#161b22; padding:1rem 1.25rem; border-radius:8px; margin-bottom:2rem;\">')\n html.append(f'<p style=\"margin:0.25rem 0;\"><strong>IDs queried:</strong> {len(MSG_IDS)} (range {min(MSG_IDS)}&ndash;{max(MSG_IDS)})</p>')\n html.append(f'<p style=\"margin:0.25rem 0;\"><strong>DB:</strong> {DB_PATH}</p>')\n html.append(f'<p style=\"margin:0.25rem 0;\"><strong>Batch window:</strong> {fmt_ts(min_ts)} UTC &rarr; {fmt_ts(max_ts)} UTC</p>')\n html.append(f'<p style=\"margin:0.25rem 0;\"><strong>Session composition:</strong> {comp_str}</p>')\n html.append(f'<p style=\"margin:0.25rem 0;\"><strong>Models:</strong> {\", \".join(models_set)}</p>')\n html.append(f'<p style=\"margin:0.25rem 0;\"><strong>Batch cost:</strong> ${total_cost:.4f} estimated reported. '\n f'All cron sessions routed to free-tier provider via SiliconFlow. '\n f'Aggregate tokens: {total_input:,} input / {total_output:,} output / {total_cache_read:,} cache_read across {n_sessions} sessions.</p>')\n html.append('</div>')\n\n for sid in session_ids:\n meta = sess_meta.get(sid)\n if not meta:\n continue\n job_name = get_job_name(sid)\n msgs = by_session[sid]\n started = fmt_ts(meta[3])\n cost = meta[5] or 0\n inp = meta[6] or 0\n out = meta[7] or 0\n cr = meta[8] or 0\n model = meta[2]\n html.append('<section class=\"session-group\">')\n html.append(f' <h3>{escape(job_name)} ({escape(sid)})</h3>')\n html.append(f' <p class=\"session-meta\">{len(msgs)} msgs in batch &middot; '\n f'session started {started} UTC &middot; '\n f'source: {escape(meta[1] or \"?\")} &middot; '\n f'model: {escape(model or \"?\")} &middot; '\n f'cost: ${cost:.4f} &middot; '\n f'{inp:,} in / {out:,} out / {cr:,} cache_read</p>')\n for (mid, _sid, role, ts, content) in msgs:\n html.append(render_msg_block(mid, role, ts, content))\n html.append('</section>')\n\n html.append('<h3>Session metadata</h3>')\n html.append('<pre>')\n html.append(f'Source: {DB_PATH}\\n')\n html.append(f'Total messages in batch: {total_msgs}\\n')\n html.append(f'Total sessions in batch: {n_sessions}\\n')\n html.append(f'Batch window: {fmt_ts(min_ts)} UTC -> {fmt_ts(max_ts)} UTC\\n')\n html.append(f'Aggregate tokens: {total_input:,} input / {total_output:,} output / {total_cache_read:,} cache_read\\n')\n html.append(f'Total estimated cost: ${total_cost:.4f}\\n')\n html.append(f'Session composition: {comp_str}\\n')\n html.append('</pre>')\n html.append('</main>')\n html.append('<footer>')\n html.append(' <div class=\"container\">Auto-maintained by Prudence</div>')\n html.append('</footer>')\n html.append('<script src=\"/assets/app.js\"></script>')\n html.append('</body>')\n html.append('</html>')\n\n page = \"\\n\".join(html)\n with open(out_path, \"w\") as f:\n f.write(page)\n\n print(f\"WROTE {out_path}\")\n print(f\"size={os.path.getsize(out_path)} bytes\")\n print(f\"sessions={n_sessions} messages={total_msgs}\")\n print(f\"min_ts={min_ts} max_ts={max_ts}\")\n print(f\"composition={dict(comp)}\")\n print(f\"models={models_set}\")\n print(f\"cost=${total_cost:.4f} input={total_input} output={total_output} cache_read={total_cache_read}\")\n\n # Emit a small JSON summary for downstream signal extraction\n summary = {\n \"filename\": filename,\n \"batch_slug\": batch_slug,\n \"msg_count\": total_msgs,\n \"session_count\": n_sessions,\n \"min_ts\": min_ts,\n \"max_ts\": max_ts,\n \"min_ts_utc\": fmt_ts(min_ts),\n \"max_ts_utc\": fmt_ts(max_ts),\n \"session_composition\": dict(comp),\n \"models\": models_set,\n \"total_cost_usd\": total_cost,\n \"total_input_tokens\": total_input,\n \"total_output_tokens\": total_output,\n \"total_cache_read_tokens\": total_cache_read,\n \"sessions\": [\n {\n \"session_id\": sid,\n \"job_name\": get_job_name(sid),\n \"started_at_utc\": fmt_ts(sess_meta[sid][3]) if sess_meta.get(sid) else None,\n \"ended_at_utc\": fmt_ts(sess_meta[sid][4]) if sess_meta.get(sid) else None,\n \"model\": sess_meta[sid][2] if sess_meta.get(sid) else None,\n \"cost\": sess_meta[sid][5] or 0 if sess_meta.get(sid) else 0,\n \"input_tokens\": sess_meta[sid][6] or 0 if sess_meta.get(sid) else 0,\n \"output_tokens\": sess_meta[sid][7] or 0 if sess_meta.get(sid) else 0,\n \"cache_read_tokens\": sess_meta[sid][8] or 0 if sess_meta.get(sid) else 0,\n \"msg_count_in_batch\": len(by_session[sid]),\n }\n for sid in session_ids\n ],\n }\n with open(\"/tmp/prudence_batch_summary.json\", \"w\") as f:\n json.dump(summary, f, indent=2)\n\n conn.close()\n\n\nif __name__ == \"__main__\":\n main()", "path": "/tmp/build_session_page.py" })

🔧 terminal({ "command": "python3 /tmp/build_session_page.py" })

🔧 terminal({ "command": "sqlite3 -header -column /home/profe/.hermes/profiles/donna/state.db \"SELECT id, message_count, estimated_cost_usd, input_tokens, output_tokens, cache_read_tokens FROM sessions WHERE id IN ('cron_77be1b9e859d_20260713_230501','cron_4523303989c2_20260713_230501')\"" })

🔧 patch({ "mode": "replace", "new_string": "# Aggregate stats (column indices: 0=id,1=source,2=model,3=started_at,4=ended_at,\n # 5=message_count,6=estimated_cost_usd,7=input_tokens,\n # 8=output_tokens,9=cache_read_tokens,10=cache_write_tokens,\n # 11=tool_call_count)\n total_msgs = len(rows)\n n_sessions = len(session_ids)\n min_ts = min(r[3] for r in rows)\n max_ts = max(r[3] for r in rows)\n total_input = sum(sess_meta[s][7] or 0 for s in session_ids)\n total_output = sum(sess_meta[s][8] or 0 for s in session_ids)\n total_cache_read = sum(sess_meta[s][9] or 0 for s in session_ids)\n total_cost = sum(sess_meta[s][6] or 0 for s in session_ids)\n models_set = sorted({sess_meta[s][2] for s in session_ids if sess_meta[s][2]})", "old_string": "# Aggregate stats\n total_msgs = len(rows)\n n_sessions = len(session_ids)\n min_ts = min(r[3] for r in rows)\n max_ts = max(r[3] for r in rows)\n total_input = sum(sess_meta[s][6] or 0 for s in session_ids)\n total_output = sum(sess_meta[s][7] or 0 for s in session_ids)\n total_cache_read = sum(sess_meta[s][8] or 0 for s in session_ids)\n total_cost = sum(sess_meta[s][5] or 0 for s in session_ids)\n models_set = sorted({sess_meta[s][2] for s in session_ids if sess_meta[s][2]})", "path": "/tmp/build_session_page.py" })

🔧 patch({ "mode": "replace", "new_string": "session_meta_for_summary = sess_meta[sid]\n summary_sessions.append({\n \"session_id\": sid,\n \"job_name\": get_job_name(sid),\n \"started_at_utc\": fmt_ts(session_meta_for_summary[3]),\n \"ended_at_utc\": fmt_ts(session_meta_for_summary[4]),\n \"model\": session_meta_for_summary[2],\n \"cost\": session_meta_for_summary[6] or 0,\n \"input_tokens\": session_meta_for_summary[7] or 0,\n \"output_tokens\": session_meta_for_summary[8] or 0,\n \"cache_read_tokens\": session_meta_for_summary[9] or 0,\n \"msg_count_in_batch\": len(by_session[sid]),\n })", "old_string": "summary_sessions.append({\n \"session_id\": sid,\n \"job_name\": get_job_name(sid),\n \"started_at_utc\": fmt_ts(sess_meta[sid][3]) if sess_meta.get(sid) else None,\n \"ended_at_utc\": fmt_ts(sess_meta[sid][4]) if sess_meta.get(sid) else None,\n \"model\": sess_meta[sid][2] if sess_meta.get(sid) else None,\n \"cost\": sess_meta[sid][5] or 0 if sess_meta.get(sid) else 0,\n \"input_tokens\": sess_meta[sid][6] or 0 if sess_meta.get(sid) else 0,\n \"output_tokens\": sess_meta[sid][7] or 0 if sess_meta.get(sid) else 0,\n \"cache_read_tokens\": sess_meta[sid][8] or 0 if sess_meta.get(sid) else 0,\n \"msg_count_in_batch\": len(by_session[sid]),\n })", "path": "/tmp/build_session_page.py" })

🔧 patch({ "mode": "replace", "new_string": "for sid in session_ids:\n m = sess_meta.get(sid)\n if not m:\n continue\n # cols: 0=id,1=source,2=model,3=started_at,4=ended_at,5=message_count,\n # 6=estimated_cost_usd,7=input_tokens,8=output_tokens,9=cache_read_tokens\n summary[\"sessions\"].append({\n \"session_id\": sid,\n \"job_name\": get_job_name(sid),\n \"started_at_utc\": fmt_ts(m[3]),\n \"ended_at_utc\": fmt_ts(m[4]),\n \"model\": m[2],\n \"cost\": m[6] or 0,\n \"input_tokens\": m[7] or 0,\n \"output_tokens\": m[8] or 0,\n \"cache_read_tokens\": m[9] or 0,\n \"msg_count_in_batch\": len(by_session[sid]),\n })", "old_string": "for sid in session_ids:\n summary[\"sessions\"].append({\n \"session_id\": sid,\n \"job_name\": get_job_name(sid),\n \"started_at_utc\": fmt_ts(sess_meta[sid][3]) if sess_meta.get(sid) else None,\n \"ended_at_utc\": fmt_ts(sess_meta[sid][4]) if sess_meta.get(sid) else None,\n \"model\": sess_meta[sid][2] if sess_meta.get(sid) else None,\n \"cost\": sess_meta[sid][5] or 0 if sess_meta.get(sid) else 0,\n \"input_tokens\": sess_meta[sid][6] or 0 if sess_meta.get(sid) else 0,\n \"output_tokens\": sess_meta[sid][7] or 0 if sess_meta.get(sid) else 0,\n \"cache_read_tokens\": sess_meta[sid][8] or 0 if sess_meta.get(sid) else 0,\n \"msg_count_in_batch\": len(by_session[sid]),\n })", "path": "/tmp/build_session_page.py" })

🔧 read_file({ "limit": 50, "offset": 230, "path": "/tmp/build_session_page.py" })

🔧 patch({ "mode": "replace", "new_string": "# Emit a small JSON summary for downstream signal extraction\n sessions_summary = []\n for sid in session_ids:\n m = sess_meta.get(sid)\n if not m:\n continue\n # cols: 0=id,1=source,2=model,3=started_at,4=ended_at,5=message_count,\n # 6=estimated_cost_usd,7=input_tokens,8=output_tokens,9=cache_read_tokens\n sessions_summary.append({\n \"session_id\": sid,\n \"job_name\": get_job_name(sid),\n \"started_at_utc\": fmt_ts(m[3]),\n \"ended_at_utc\": fmt_ts(m[4]),\n \"model\": m[2],\n \"cost\": m[6] or 0,\n \"input_tokens\": m[7] or 0,\n \"output_tokens\": m[8] or 0,\n \"cache_read_tokens\": m[9] or 0,\n \"msg_count_in_batch\": len(by_session[sid]),\n })\n\n summary = {\n \"filename\": filename,\n \"batch_slug\": batch_slug,\n \"msg_count\": total_msgs,\n \"session_count\": n_sessions,\n \"min_ts\": min_ts,\n \"max_ts\": max_ts,\n \"min_ts_utc\": fmt_ts(min_ts),\n \"max_ts_utc\": fmt_ts(max_ts),\n \"session_composition\": dict(comp),\n \"models\": models_set,\n \"total_cost_usd\": total_cost,\n \"total_input_tokens\": total_input,\n \"total_output_tokens\": total_output,\n \"total_cache_read_tokens\": total_cache_read,\n \"sessions\": sessions_summary,\n }", "old_string": "# Emit a small JSON summary for downstream signal extraction\n summary = {\n \"filename\": filename,\n \"batch_slug\": batch_slug,\n \"msg_count\": total_msgs,\n \"session_count" })

🔧 patch({ "mode": "replace", "new_string": "# Emit a small JSON summary for downstream signal extraction\n sessions_summary = []\n for sid in session_ids:\n m = sess_meta.get(sid)\n if not m:\n continue\n # cols: 0=id,1=source,2=model,3=started_at,4=ended_at,5=message_count,\n # 6=estimated_cost_usd,7=input_tokens,8=output_tokens,9=cache_read_tokens\n sessions_summary.append({\n \"session_id\": sid,\n \"job_name\": get_job_name(sid),\n \"started_at_utc\": fmt_ts(m[3]),\n \"ended_at_utc\": fmt_ts(m[4]),\n \"model\": m[2],\n \"cost\": m[6] or 0,\n \"input_tokens\": m[7] or 0,\n \"output_tokens\": m[8] or 0,\n \"cache_read_tokens\": m[9] or 0,\n \"msg_count_in_batch\": len(by_session[sid]),\n })\n\n summary = {\n \"filename\": filename,\n \"batch_slug\": batch_slug,\n \"msg_count\": total_msgs,\n \"session_count\": n_sessions,\n \"min_ts\": min_ts,\n \"max_ts\": max_ts,\n \"min_ts_utc\": fmt_ts(min_ts),\n \"max_ts_utc\": fmt_ts(max_ts),\n \"session_composition\": dict(comp),\n \"models\": models_set,\n \"total_cost_usd\": total_cost,\n \"total_input_tokens\": total_input,\n \"total_output_tokens\": total_output,\n \"total_cache_read_tokens\": total_cache_read,\n \"sessions\": sessions_summary,\n }", "old_string": "# Emit" })

🔧 write_file({ "content": "#!/usr/bin/env python3\n\"\"\"Build cron session HTML + categorized bullets + n8n index update from prudence-gate batch.\"\"\"\nimport sqlite3\nimport hashlib\nimport os\nimport json\nfrom datetime import datetime, timezone\nfrom collections import defaultdict\nfrom html import escape\n\n# ---- Config ----\nDB_PATH = \"/home/profe/.hermes/profiles/donna/state.db\"\nSESSIONS_DIR = \"/001 profe/wiki.englishwithprofejaimi.space/sessions\"\nBODEGA_DIR = \"/001 profe/wiki.englishwithprofejaimi.space/bodega\"\nN8N_INDEX = \"/001 profe/wiki.englishwithprofejaimi.space/projects/rebuild/n8n/index.html\"\n\n# Cron hash -> job name (from /home/profe/.hermes/profiles/donna/cron/jobs.json)\nCRON_JOBS = {\n \"4523303989c2\": \"Prudence Hourly Gate\",\n \"2bf831c0e976\": \"Prudence Dream Housekeeping\",\n \"77be1b9e859d\": \"Prudence Heartbeat Watch\",\n \"90c9a4c57966\": \"check-coach-destiny-build\",\n \"2deb9cc9479c\": \"gentleman-thief-tts-agent\",\n}\n\n# Message IDs from prudence-gate WORK batch\nMSG_IDS = [160255,160256,160259,160261,160262,160263,160265,160267,160269,160271,160273,160275,160277,160279,160281,160283,160285,160287,160289,160291,160293,160295,160297,160299,160301,160303,160305,160307,160309,160311,160313,160315,160317,160319,160321,160323,160325,160327,160329,160331,160333,160335,160337,160339,160341,160343,160345,160347,160349,160351,160353,160354,160355,160357,160359,160361,160363,160364,160365,160369,160371,160372,160373,160376,160378,160379,160380,160383,160385,160386,160387,160390,160392,160393,160394,160396,160398,160400,160402,160403,160404,160407,160409,160410,160411,160414,160416,160417,160418,160421,160423,160424,160425,160428,160430,160431,160432,160434,160435,160436,160439,160441,160442,160443,160446,160448,160449,160450,160454,160456,160457,160458,160460,160461,160462,160464]\n\n\ndef fmt_ts(ts):\n return datetime.fromtimestamp(ts, tz=timezone.utc).strftime(\"%Y-%m-%d %H:%M:%S\")\n\n\ndef short_hash(s, n=6):\n return hashlib.sha1(s.encode()).hexdigest()[:n]\n\n\ndef get_job_name(session_id):\n \"\"\"Extract cron hash from session_id and resolve to job name.\"\"\"\n parts = session_id.split(\"_\")\n if len(parts) >= 2 and parts[0] == \"cron\":\n cron_hash = parts[1]\n return CRON_JOBS.get(cron_hash, f\"cron-{cron_hash}\")\n return \"(interactive)\"\n\n\ndef get_role_display(role):\n return {\"user\": \"You\", \"assistant\": \"Donna\"}.get(role, role.capitalize())\n\n\ndef render_msg_block(msg_id, role, ts, content):\n role_cls = role\n role_label = get_role_display(role)\n utc = fmt_ts(ts)\n if content is None or content.strip() == \"\":\n body = '<div class=\"msg-body empty-note\">(empty &mdash; tool-call-only turn / cron placeholder)</div>'\n else:\n body = f'<div class=\"msg-body\">{escape(content)}</div>'\n return (\n f'<div class=\"message {role_cls}\">\\n'\n f' <div class=\"msg-header\"><span class=\"msg-role\">{role_label}</span>'\n f'<span class=\"msg-time\">{utc}</span>'\n f'<span class=\"msg-id\" style=\"color:#6b7680;\">#{msg_id}</span></div>\\n'\n f' {body}\\n'\n f'</div>'\n )\n\n\ndef main():\n conn = sqlite3.connect(DB_PATH)\n cur = conn.cursor()\n\n placeholders = \",\".join(\"?\" for _ in MSG_IDS)\n cur.execute(\n f\"SELECT id, session_id, role, timestamp, content FROM messages \"\n f\"WHERE id IN ({placeholders}) ORDER BY session_id, id\",\n MSG_IDS,\n )\n rows = cur.fetchall()\n\n # Group by session_id\n by_session = defaultdict(list)\n session_ids = []\n for r in rows:\n sid = r[1]\n if sid not in by_session:\n session_ids.append(sid)\n by_session[sid].append(r)\n\n # Session metadata (cols: 0=id,1=source,2=model,3=started_at,4=ended_at,\n # 5=message_count,6=estimated_cost_usd,7=input_tokens,\n # 8=output_tokens,9=cache_read_tokens,10=cache_write_tokens,\n # 11=tool_call_count)\n sid_placeholders = \",\".join(\"?\" for _ in session_ids)\n cur.execute(\n f\"SELECT id, source, model, started_at, ended_at, message_count, \"\n f\"estimated_cost_usd, input_tokens, output_tokens, cache_read_tokens, \"\n f\"cache_write_tokens, tool_call_count \"\n f\"FROM sessions WHERE id IN ({sid_placeholders})\",\n session_ids,\n )\n sess_meta = {r[0]: r for r in cur.fetchall()}\n\n total_msgs = len(rows)\n n_sessions = len(session_ids)\n min_ts = min(r[3] for r in rows)\n max_ts = max(r[3] for r in rows)\n total_input = sum(sess_meta[s][7] or 0 for s in session_ids)\n total_output = sum(sess_meta[s][8] or 0 for s in session_ids)\n total_cache_read = sum(sess_meta[s][9] or 0 for s in session_ids)\n total_cost = sum(sess_meta[s][6] or 0 for s in session_ids)\n models_set = sorted({sess_meta[s][2] for s in session_ids if sess_meta[s][2]})\n\n # Session composition\n comp = defaultdict(int)\n for s in session_ids:\n comp[get_job_name(s)] += 1\n comp_str = \", \".join(f\"{v}&times; {k}\" for k, v in sorted(comp.items(), key=lambda x: -x[1]))\n\n now = datetime.now(timezone.utc)\n batch_slug = now.strftime(\"%Y%m%d_%H%M%S\")\n hash_input = \",\".join(str(i) for i in MSG_IDS)\n file_hash = short_hash(hash_input + str(min_ts))\n filename = f\"cron_{batch_slug}_{file_hash}.html\"\n out_path = os.path.join(SESSIONS_DIR, filename)\n\n # Build HTML\n html = []\n html.append('<!DOCTYPE html>')\n html.append('<html lang=\"en\">')\n html.append('<head>')\n html.append(' <meta charset=\"UTF-8\">')\n html.append(' <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">')\n html.append(f' <title>Cron Batch {batch_slug} &mdash; Memory Wiki</title>')\n html.append(' <link rel=\"stylesheet\" href=\"/assets/style.css\">')\n html.append(' <style>')\n html.append('.session-group { margin: 2rem 0 3rem; border-left: 3px solid #1d2230; padding-left: 1rem; }')\n html.append('.session-group h3 { margin-bottom: 0.25rem; font-size: 1.05rem; }')\n html.append('.session-meta { color: #8b949e; font-size: 13px; margin: 0 0 1rem; }')\n html.append('.message { margin: 0.5rem 0; padding: 0.5rem 0.75rem; border-radius: 6px; font-size: 14px; }')\n html.append('.message.user { background: #161b22; border-left: 3px solid #58a6ff; }')\n html.append('.message.assistant { background: #0d1117; border-left: 3px solid #7ee787; }')\n html.append('.message.tool { background: #11151c; border-left: 3px solid #d29922; }')\n html.append('.msg-header { color: #8b949e; font-size: 12px; margin-bottom: 0.25rem; display:flex; gap:12px; }')\n html.append('.msg-role { font-weight: 600; }')\n html.append('.msg-body { white-space: pre-wrap; word-wrap: break-word; }')\n html.append('.empty-note { color:#6b7680; font-style:italic; font-size:13px; }')\n html.append(' </style>')\n html.append('</head>')\n html.append('<body>')\n html.append('<header>')\n html.append(' <div class=\"container\">')\n html.append(' <h1><a href=\"/\">Memory Wiki</a></h1>')\n html.append(' <nav>')\n html.append(' <a href=\"/\">Home</a>')\n html.append(' <a href=\"/wiki/\">Wiki</a>')\n html.append(' <a href=\"/bodega/\">Bodega</a>')\n html.append(' <a href=\"/projects/\">Projects</a>')\n html.append(' </nav>')\n html.append(' </div>')\n html.append('</header>')\n html.append('<main class=\"container\">')\n html.append(f'<h2>Cron Batch {batch_slug}</h2>')\n html.append('<p style=\"color: var(--text-dim); margin-bottom: 1.5rem;\">')\n html.append(f'Prudence WORK batch &middot; {now.strftime(\"%Y-%m-%d %H:%M:%S\")} UTC &middot; '\n f'{total_msgs} messages &middot; {n_sessions} sessions')\n html.append('</p>')\n html.append('<div class=\"summary\" style=\"background:#161b22; padding:1rem 1.25rem; border-radius:8px; margin-bottom:2rem;\">')\n html.append(f'<p style=\"margin:0.25rem 0;\"><strong>IDs queried:</strong> {len(MSG_IDS)} (range {min(MSG_IDS)}&ndash;{max(MSG_IDS)})</p>')\n html.append(f'<p style=\"margin:0.25rem 0;\"><strong>DB:</strong> {DB_PATH}</p>')\n html.append(f'<p style=\"margin:0.25rem 0;\"><strong>Batch window:</strong> {fmt_ts(min_ts)} UTC &rarr; {fmt_ts(max_ts)} UTC</p>')\n html.append(f'<p style=\"margin:0.25rem 0;\"><strong>Session composition:</strong> {comp_str}</p>')\n html.append(f'<p style=\"margin:0.25rem 0;\"><strong>Models:</strong> {\", \".join(models_set)}</p>')\n html.append(f'<p style=\"margin:0.25rem 0;\"><strong>Batch cost:</strong> ${total_cost:.4f} estimated reported. '\n f'All cron sessions routed to free-tier provider via SiliconFlow. '\n f'Aggregate tokens: {total_input:,} input / {total_output:,} output / {total_cache_read:,} cache_read across {n_sessions} sessions.</p>')\n html.append('</div>')\n\n for sid in session_ids:\n meta = sess_meta.get(sid)\n if not meta:\n continue\n job_name = get_job_name(sid)\n msgs = by_session[sid]\n started = fmt_ts(meta[3])\n cost = meta[6] or 0\n inp = meta[7] or 0\n out = meta[8] or 0\n cr = meta[9] or 0\n model = meta[2]\n html.append('<section class=\"session-group\">')\n html.append(f' <h3>{escape(job_name)} ({escape(sid)})</h3>')\n html.append(f' <p class=\"session-meta\">{len(msgs)} msgs in batch &middot; '\n f'session started {started} UTC &middot; '\n f'source: {escape(meta[1] or \"?\")} &middot; '\n f'model: {escape(model or \"?\")} &middot; '\n f'cost: ${cost:.4f} &middot; '\n f'{inp:,} in / {out:,} out / {cr:,} cache_read</p>')\n for (mid, _sid, role, ts, content) in msgs:\n html.append(render_msg_block(mid, role, ts, content))\n html.append('</section>')\n\n html.append('<h3>Session metadata</h3>')\n html.append('<pre>')\n html.append(f'Source: {DB_PATH}\\n')\n html.append(f'Total messages in batch: {total_msgs}\\n')\n html.append(f'Total sessions in batch: {n_sessions}\\n')\n html.append(f'Batch window: {fmt_ts(min_ts)} UTC -> {fmt_ts(max_ts)} UTC\\n')\n html.append(f'Aggregate tokens: {total_input:,} input / {total_output:,} output / {total_cache_read:,} cache_read\\n')\n html.append(f'Total estimated cost: ${total_cost:.4f}\\n')\n html.append(f'Session composition: {comp_str}\\n')\n html.append('</pre>')\n html.append('</main>')\n html.append('<footer>')\n html.append(' <div class=\"container\">Auto-maintained by Prudence</div>')\n html.append('</footer>')\n html.append('<script src=\"/assets/app.js\"></script>')\n html.append('</body>')\n html.append('</html>')\n\n page = \"\\n\".join(html)\n with open(out_path, \"w\") as f:\n f.write(page)\n\n print(f\"WROTE {out_path}\")\n print(f\"size={os.path.getsize(out_path)} bytes\")\n print(f\"sessions={n_sessions} messages={total_msgs}\")\n print(f\"min_ts={min_ts} max_ts={max_ts}\")\n print(f\"composition={dict(comp)}\")\n print(f\"models={models_set}\")\n print(f\"cost=${total_cost:.4f} input={total_input} output={total_output} cache_read={total_cache_read}\")\n\n # Build JSON summary\n sessions_summary = []\n for sid in session_ids:\n m = sess_meta.get(sid)\n if not m:\n continue\n sessions_summary.append({\n \"session_id\": sid,\n \"job_name\": get_job_name(sid),\n \"started_at_utc\": fmt_ts(m[3]),\n \"ended_at_utc\": fmt_ts(m[4]),\n \"model\": m[2],\n \"cost\": m[6] or 0,\n \"input_tokens\": m[7] or 0,\n \"output_tokens\": m[8] or 0,\n \"cache_read_tokens\": m[9] or 0,\n \"msg_count_in_batch\": len(by_session[sid]),\n })\n\n summary = {\n \"filename\": filename,\n \"batch_slug\": batch_slug,\n \"msg_count\": total_msgs,\n \"session_count\": n_sessions,\n \"min_ts\": min_ts,\n \"max_ts\": max_ts,\n \"min_ts_utc\": fmt_ts(min_ts),\n \"max_ts_utc\": fmt_ts(max_ts),\n \"session_composition\": dict(comp),\n \"models" })

🔧 write_file({ "content": "#!/usr/bin/env python3\n\"\"\"Build cron session HTML + categorized bullets + n8n index update from prudence-gate batch.\"\"\"\nimport sqlite3\nimport hashlib\nimport os\nimport json\nfrom datetime import datetime, timezone\nfrom collections import defaultdict\nfrom html import escape\n\nDB_PATH = \"/home/profe/.hermes/profiles/donna/state.db\"\nSESSIONS_DIR = \"/001 profe/wiki.englishwithprofejaimi.space/sessions\"\nBODEGA_DIR = \"/001 profe/wiki.englishwithprofejaimi.space/bodega\"\nN8N_INDEX = \"/001 profe/wiki.englishwithprofejaimi.space/projects/rebuild/n8n/index.html\"\n\nCRON_JOBS = {\n \"4523303989c2\": \"Prudence Hourly Gate\",\n \"2bf831c0e976\": \"Prudence Dream Housekeeping\",\n \"77be1b9e859d\": \"Prudence Heartbeat Watch\",\n \"90c9a4c57966\": \"check-coach-destiny-build\",\n \"2deb9cc9479c\": \"gentleman-thief-tts-agent\",\n}\n\nMSG_IDS = [160255,160256,160259,160261,160262,160263,160265,160267,160269,160271,160273,160275,160277,160279,160281,160283,160285,160287,160289,160291,160293,160295,160297,160299,160301,160303,160305,160307,160309,160311,160313,160315,160317,160319,160321,160323,160325,160327,160329,160331,160333,160335,160337,160339,160341,160343,160345,160347,160349,160351,160353,160354,160355,160357,160359,160361,160363,160364,160365,160369,160371,160372,160373,160376,160378,160379,160380,160383,160385,160386,160387,160390,160392,160393,160394,160396,160398,160400,160402,160403,160404,160407,160409,160410,160411,160414,160416,160417,160418,160421,160423,160424,160425,160428,160430,160431,160432,160434,160435,160436,160439,160441,160442,160443,160446,160448,160449,160450,160454,160456,160457,160458,160460,160461,160462,160464]\n\n\ndef fmt_ts(ts):\n return datetime.fromtimestamp(ts, tz=timezone.utc).strftime(\"%Y-%m-%d %H:%M:%S\")\n\n\ndef short_hash(s, n=6):\n return hashlib.sha1(s.encode()).hexdigest()[:n]\n\n\ndef get_job_name(session_id):\n parts = session_id.split(\"_\")\n if len(parts) >= 2 and parts[0] == \"cron\":\n cron_hash = parts[1]\n return CRON_JOBS.get(cron_hash, f\"cron-{cron_hash}\")\n return \"(interactive)\"\n\n\ndef get_role_display(role):\n return {\"user\": \"You\", \"assistant\": \"Donna\"}.get(role, role.capitalize())\n\n\ndef render_msg_block(msg_id, role, ts, content):\n role_label = get_role_display(role)\n utc = fmt_ts(ts)\n if content is None or content.strip() == \"\":\n body = '<div class=\"msg-body empty-note\">(empty &mdash; tool-call-only turn / cron placeholder)</div>'\n else:\n body = f'<div class=\"msg-body\">{escape(content)}</div>'\n return (\n f'<div class=\"message {role}\">\\n'\n f' <div class=\"msg-header\"><span class=\"msg-role\">{role_label}</span>'\n f'<span class=\"msg-time\">{utc}</span>'\n f'<span class=\"msg-id\" style=\"color:#6b7680;\">#{msg_id}</span></div>\\n'\n f' {body}\\n'\n f'</div>'\n )\n\n\ndef main():\n conn = sqlite3.connect(DB_PATH)\n cur = conn.cursor()\n\n placeholders = \",\".join(\"?\" for _ in MSG_IDS)\n cur.execute(\n f\"SELECT id, session_id, role, timestamp, content FROM messages \"\n f\"WHERE id IN ({placeholders}) ORDER BY session_id, id\",\n MSG_IDS,\n )\n rows = cur.fetchall()\n\n by_session = defaultdict(list)\n session_ids = []\n for r in rows:\n sid = r[1]\n if sid not in by_session:\n session_ids.append(sid)\n by_session[sid].append(r)\n\n sid_placeholders = \",\".join(\"?\" for _ in session_ids)\n cur.execute(\n f\"SELECT id, source, model, started_at, ended_at, message_count, \"\n f\"estimated_cost_usd, input_tokens, output_tokens, cache_read_tokens, \"\n f\"cache_write_tokens, tool_call_count \"\n f\"FROM sessions WHERE id IN ({sid_placeholders})\",\n session_ids,\n )\n sess_meta = {r[0]: r for r in cur.fetchall()}\n\n total_msgs = len(rows)\n n_sessions = len(session_ids)\n min_ts = min(r[3] for r in rows)\n max_ts = max(r[3] for r in rows)\n total_input = sum(sess_meta[s][7] or 0 for s in session_ids)\n total_output = sum(sess_meta[s][8] or 0 for s in session_ids)\n total_cache_read = sum(sess_meta[s][9] or 0" })

🔧 write_file({ "content": "#!/usr/bin/env python3\n\"\"\"Build cron session HTML + categorized bullets + n8n index update from prudence-gate batch.\"\"\"\nimport sqlite3\nimport hashlib\nimport os\nimport json\nfrom datetime import datetime, timezone\nfrom collections import defaultdict\nfrom html import escape\n\nDB_PATH = \"/home/profe/.hermes/profiles/donna/state.db\"\nSESSIONS_DIR = \"/001 profe/wiki.englishwithprofejaimi.space/sessions\"\nBODEGA_DIR = \"/001 profe/wiki.englishwithprofejaimi.space/bodega\"\nN8N_INDEX = \"/001 profe/wiki.englishwithprofejaimi.space/projects/rebuild/n8n/index.html\"\n\nCRON_JOBS = {\n \"4523303989c2\": \"Prudence Hourly Gate\",\n \"2bf831c0e976\": \"Prudence Dream Housekeeping\",\n \"77be1b9e859d\": \"Prudence Heartbeat Watch\",\n \"90c9a4c57966\": \"check-coach-destiny-build\",\n \"2deb9cc9479c\": \"gentleman-thief-tts-agent\",\n}\n\nMSG_IDS = [160255,160256,160259,160261,160262,160263,160265,160267,160269,160271,160273,160275,160277,160279,160281,160283,160285,160287,160289,160291,160293,160295,160297,160299,160301,160303,160305,160307,160309,160311,160313,160315,160317,160319,160321,160323,160325,160327,160329,160331,160333,160335,160337,160339,160341,160343,160345,160347,160349,160351,160353,160354,160355,160357,160359,160361,160363,160364,160365,160369,160371,160372,160373,160376,160378,160379,160380,160383,160385,160386" })

🔧 write_file({ "content": "#!/usr/bin/env python3\nimport sqlite3, hashlib, os, json\nfrom datetime import datetime, timezone\nfrom collections import defaultdict\nfrom html import escape\n\nDB_PATH = \"/home/profe/.hermes/profiles/donna/state.db\"\nSESSIONS_DIR = \"/001 profe/wiki.englishwithprofejaimi.space/sessions\"\nBODEGA_DIR = \"/001 profe/wiki.englishwithprofejaimi.space/bodega\"\nN8N_INDEX = \"/001 profe/wiki.englishwithprofejaimi.space/projects/rebuild/n8n/index.html\"\n\nCRON_JOBS = {\n \"4523303989c2\": \"Prudence Hourly Gate\",\n \"2bf831c0e976\": \"Prudence Dream Housekeeping\",\n \"77be1b9e859d\": \"Prudence Heartbeat Watch\",\n \"90c9a4c57966\": \"check-coach-destiny-build\",\n \"2deb9cc9479c\": \"gentleman-thief-tts-agent\",\n}\n\nMSG_IDS = [160255,160256,160259,160261,160262,160263,160265,160267,160269,160271,160273,160275,160277,160279,160281,160283,160285,160287,160289,160291,160293,160295,160297,160299,160301,160303,160305,160307,160309,160311,160313,160315,160317,160319,160321,160323,160325,160327,160329,160331,160333,160335,160337,160339,160341,160343,160345,160347,160349,160351,160353,160354,160355,160357,160359,160361,160363,160364,160365,160369,160371,160372,160373,160376,160378,160379,160380,160383,160385,160386,160387,160390,160392,160393,160394,160396,160398,160400,160402,160403,160404,160407,160409,160410,160411,160414,160416,160417,160418,160421,160423,160424,160425,160428,160430,160431,160432,160434,160435,160436,160439,160441,160442,160443,160446,160448,160449,160450,160454,160456,160457,160458,160460,160461,160462,160464]\n\ndef fmt_ts(ts):\n return datetime.fromtimestamp(ts, tz=timezone.utc).strftime(\"%Y-%m-%d %H:%M:%S\")\n\ndef short_hash(s, n=6):\n return hashlib.sha1(s.encode()).hexdigest()[:n]\n\ndef get_job_name(sid):\n parts = sid.split(\"_\")\n if len(parts) >= 2 and parts[0] == \"cron\":\n return CRON_JOBS.get(parts[1], f\"cron-{parts[1]}\")\n return \"(interactive)\"\n\ndef get_role_display(role):\n return {\"user\": \"You\", \"assistant\": \"Donna\"}.get(role, role.capitalize())\n\ndef render_msg_block(msg_id, role, ts, content):\n role_label = get_role_display(role)\n utc = fmt_ts(ts)\n if content is None or content.strip() == \"\":\n body = '<div class=\"msg-body empty-note\">(empty &mdash; tool-call-only turn / cron placeholder)</div>'\n else:\n body = f'<div class=\"msg-body\">{escape(content)}</div>'\n return (\n f'<div class=\"message {role}\">\\n'\n f' <div class=\"msg-header\"><span class=\"msg-role\">{role_label}</span>'\n f'<span class=\"msg-time\">{utc}</span>'\n f'<span class=\"msg-id\" style=\"color:#6b7680;\">#{msg_id}</span></div>\\n'\n f' {body}\\n'\n f'</div>'\n )\n\ndef main():\n conn = sqlite3.connect(DB_PATH)\n cur = conn.cursor()\n\n placeholders = \",\".join(\"?\" for _ in MSG_IDS)\n cur.execute(\n f\"SELECT id, session_id, role, timestamp, content FROM messages \"\n f\"WHERE id IN ({placeholders}) ORDER BY session_id, id\",\n MSG_IDS,\n )\n rows = cur.fetchall()\n\n by_session = defaultdict(list)\n session_ids = []\n for r in rows:\n sid = r[1]\n if sid not in by_session:\n session_ids.append(sid)\n by_session[sid].append(r)\n\n sid_placeholders = \",\".join(\"?\" for _ in session_ids)\n cur.execute(\n f\"SELECT id, source, model, started_at, ended_at, message_count, \"\n f\"estimated_cost_usd, input_tokens, output_tokens, cache_read_tokens" })

🔧 read_file({ "limit": 60, "offset": 230, "path": "/tmp/build_session_page.py" })

🔧 patch({ "mode": "replace", "new_string": "# Emit a small JSON summary for downstream signal extraction\n sessions_summary = []\n for sid in session_ids:\n m = sess_meta.get(sid)\n if not m:\n continue\n # cols: 0=id,1=source,2=model,3=started_at,4=ended_at,5=message_count,\n # 6=estimated_cost_usd,7=input_tokens,8=output_tokens,9=cache_read_tokens\n sessions_summary.append({\n \"session_id\": sid,\n \"job_name\": get_job_name(sid),\n \"started_at_utc\": fmt_ts(m[3]),\n \"ended_at_utc\": fmt_ts(m[4]),\n \"model\": m[2],\n \"cost\": m[6] or 0,\n \"input_tokens\": m[7] or 0,\n \"output_tokens\": m[8] or 0,\n \"cache_read_tokens\": m[9] or 0,\n \"msg_count_in_batch\": len(by_session[sid]),\n })\n\n summary = {\n \"filename\": filename,\n \"batch_slug\": batch_slug,\n \"msg_count\": total_msgs,\n \"session_count\": n_sessions,\n \"min_ts\": min_ts,\n \"max_ts\": max_ts,\n \"min_ts_utc\": fmt_ts(min_ts),\n \"max_ts_utc\": fmt_ts(max_ts),\n \"session_composition\": dict(comp),\n \"models\": models_set,\n \"total_cost_usd\": total_cost,\n \"total_input_tokens\": total_input,\n \"total_output_tokens\": total_output,\n \"total_cache_read_tokens\": total_cache_read,\n \"sessions\": sessions_summary,\n }\n with open(\"/tmp/prudence_batch_summary.json\", \"w\") as f:" })

🔧 patch({ "mode": "replace", "new_string": "# Emit a small JSON summary for downstream signal extraction\n sessions_summary = []\n for sid in session_ids:\n m = sess_meta.get(sid)\n if not m:\n continue\n # cols: 0=id,1=source,2=model,3=started_at,4=ended_at,5=message_count,\n # 6=estimated_cost_usd,7=input_tokens,8=output_tokens,9=cache_read_tokens\n sessions_summary.append({\n \"session_id\": sid,\n \"job_name\": get_job_name(sid),\n \"started_at_utc\": fmt_ts(m[3]),\n \"ended_at_utc\": fmt_ts(m[4]),\n \"model\": m[2],\n \"cost\": m[6] or 0,\n \"input_tokens\": m[7] or 0,\n \"output_tokens\": m[8] or 0,\n \"cache_read_tokens\": m[9] or 0,\n \"msg_count_in_batch\": len(by_session[sid]),\n })\n\n summary = {\n \"filename\": filename,\n \"batch_slug\": batch_slug,\n \"msg_count\": total_msgs,\n \"session_count\": n_sessions,\n \"min_ts\": min_ts,\n \"max_ts\": max_ts,\n \"min_ts_utc\": fmt_ts(min_ts),\n \"max_ts_utc\": fmt_ts(max_ts),\n \"session_composition\": dict(comp),\n \"models\": models_set,\n \"total_cost_usd\": total_cost,\n \"total_input_tokens\": total_input,\n \"total_output_tokens\": total_output,\n \"total_cache_read_tokens\": total_cache_read,\n \"sessions\": sessions_summary,\n }\n with open(\"/tmp/prudence_batch_summary.json" })

🔧 patch({ "mode": "replace", "new_string": "sessions_summary = []\n for sid in session_ids:\n m = sess_meta.get(sid)\n if not m:\n continue\n sessions_summary.append({\n \"session_id\": sid,\n \"job_name\": get_job_name(sid),\n \"started_at_utc\": fmt_ts(m[3]),\n \"ended_at_utc\": fmt_ts(m[4]),\n \"model\": m[2],\n \"cost\": m[6] or 0,\n \"input_tokens\": m[7] or 0,\n \"output_tokens\": m[8] or 0,\n \"cache_read_tokens\": m[9] or 0,\n \"msg_count_in_batch\": len(by_session[sid]),\n })\n\n summary = {\n \"filename\": filename,\n \"batch_slug\": batch_slug,\n \"msg_count\": total_msgs,\n \"session_count\": n_sessions,\n \"min_ts\": min_ts,\n \"max_ts\": max_ts,\n \"min_ts_utc\": fmt_ts(min_ts),\n \"max_ts_utc\": fmt_ts(max_ts),\n \"session_composition\": dict(comp),\n \"models\": models_set,\n \"total_cost_usd\": total_cost,\n \"total_input_tokens\": total_input,\n \"total_output_tokens\": total_output,\n \"total_cache_read_tokens\": total_cache_read,\n \"sessions\": sessions_summary,\n }\n with open(\"/tmp/prudence_batch_summary.json\", \"w\") as f:\n json.dump(summary, f, indent=2)", "old_string": "summary = {\n \"filename\": filename,\n \"batch_slug\": batch_slug,\n \"msg_count\": total_msgs,\n \"session_count\": n_sessions,\n \"min_ts\": min_ts,\n \"max_ts\": max_ts,\n \"min_ts_utc\": fmt_ts(min_ts),\n \"max_ts_utc\": fmt_ts(max_ts),\n \"session_composition\": dict(comp),\n \"models\": models_set,\n \"total_cost_usd\": total_cost,\n \"total_input_tokens\": total_input,\n \"total_output_tokens\": total_output,\n \"total_cache_read_tokens\": total_cache_read,\n for sid in session_ids:\n m = sess_meta.get(sid)\n if not m:\n continue\n # cols: 0=id,1=source,2=model,3=started_at,4=ended_at,5=message_count,\n # 6=estimated_cost_usd,7=input_tokens,8=output_tokens,9=cache_read_tokens\n summary[\"sessions\"].append({\n \"session_id\": sid,\n \"job_name\": get_job_name(sid),\n \"started_at_utc\": fmt_ts(m[3]),\n \"ended_at_utc\": fmt_ts(m[4]),\n \"model\": m[2],\n \"cost\": m[6] or 0,\n \"input_tokens\": m[7] or 0,\n \"output_tokens\": m[8] or 0,\n \"cache_read_tokens\": m[9] or 0,\n \"msg_count_in_batch\": len(by_session[sid]),\n })\n for sid in session_ids\n ],\n }\n with open(\"/tmp/prudence_batch_summary.json\", \"w\") as f:\n json.dump(summary, f, indent=2)", "path": "/tmp/build_session_page.py" })

🔧 terminal({ "command": "rm -f \"/001 profe/wiki.englishwithprofejaimi.space/sessions/cron_20260714_000650_a5993b.html\"\npython3 /tmp/build_session_page.py\necho \"---\"\ncat /tmp/prudence_batch_summary.json | python3 -c \"import json,sys; d=json.load(sys.stdin); print('msgs:', d['msg_count'], 'sessions:', d['session_count']); print('cost:', d['total_cost_usd']); print('tokens in/out/cr:', d['total_input_tokens'], d['total_output_tokens'], d['total_cache_read_tokens']); print('composition:', d['session_composition'])\"" })

🔧 terminal({ "command": "rm -f \"/001 profe/wiki.englishwithprofejaimi.space/sessions/cron_20260714_000650_a5993b.html\"" })

🔧 terminal({ "command": "python3 /tmp/build_session_page.py" })

🔧 read_file({ "path": "/tmp/prudence_batch_summary.json" })

🔧 read_file({ "limit": 60, "path": "/001 profe/wiki.englishwithprofejaimi.space/sessions/cron_20260714_000909_a5993b.html" })

🔧 search_files({ "path": "/tmp/build_session_page.py", "pattern": "meta\\[" })

🔧 patch({ "mode": "replace", "new_string": "started = fmt_ts(meta[3])\n cost = meta[6] or 0\n inp = meta[7] or 0\n out = meta[8] or 0\n cr = meta[9] or 0", "old_string": "started = fmt_ts(meta[3])\n cost = meta[5] or 0\n inp = meta[6] or 0\n out = meta[7] or 0\n cr = meta[8] or 0", "path": "/tmp/build_session_page.py" })

🔧 terminal({ "command": "rm -f \"/001 profe/wiki.englishwithprofejaimi.space/sessions/cron_20260714_000909_a5993b.html\"\npython3 /tmp/build_session_page.py" })

🔧 terminal({ "command": "grep -E \"msgs in batch|cost:\" \"/001 profe/wiki.englishwithprofejaimi.space/sessions/cron_20260714_000934_a5993b.html\" | head -20" })

🔧 terminal({ "command": "tail -25 \"/001 profe/wiki.englishwithprofejaimi.space/sessions/cron_20260714_000934_a5993b.html\"" })

🔧 terminal({ "command": "grep -E \"id 160417|id 160418|160419|160420\" /tmp/prudence_full.txt | head -5\necho \"---KANBAN---\"\nsqlite3 /home/profe/.hermes/profiles/donna/state.db \"SELECT id, role, content FROM messages WHERE id IN (160263,160265,160373,160376,160402,160404,160428,160430,160434,160435,160436,160439,160440,160441,160442) ORDER BY id\" | head -30" })

🔧 terminal({ "command": "sqlite3 /home/profe/.hermes/profiles/donna/state.db \"SELECT id, role, content FROM messages WHERE id IN (160434,160435,160436,160439,160441,160442,160446,160448,160449,160450,160454,160456,160457,160458,160460,160461,160462) ORDER BY id\"" })

🔧 terminal({ "command": "sqlite3 /home/profe/.hermes/profiles/donna/state.db \"SELECT id, role, content FROM messages WHERE id IN (160417,160418,160419,160420,160421) ORDER BY id\"" })

🔧 terminal({ "command": "sqlite3 /home/profe/.hermes/profiles/donna/state.db \"SELECT id, role, content FROM messages WHERE id IN (160422,160423,160424,160425) ORDER BY id\"" })

🔧 terminal({ "command": "sqlite3 /home/profe/.hermes/profiles/donna/state.db \"SELECT id, role, length(content), substr(content, 1, 200) FROM messages WHERE id IN (160255,160256,160257,160258,160259,160260,160261,160262) ORDER BY id\"" })

🔧 terminal({ "command": "sqlite3 /home/profe/.hermes/profiles/donna/state.db \"SELECT id, role, length(content), substr(content, 1, 200) FROM messages WHERE id IN (160376,160402,160403,160404,160428,160429,160430,160434) ORDER BY id\"" })

🔧 terminal({ "command": "cat /tmp/prudence_batch_summary.json | head -25" })

🔧 write_file({ "content": "## Cron batch 2026-07-14 00:09:34 UTC\n\n- **operator:** prudence-gate WORK batch (116 IDs: 160255\u2013160464, well below the 200-ID cap) routed through `/home/profe/.hermes/profiles/donna/state.db`; default `/home/profe/.hermes/state.db` (max id 1042) returned 0 rows. 18 sessions touched across the 23:05\u201324:00 UTC window. Archived as `sessions/cron_20260714_000934_a5993b.html`.\n- **operator:** Session composition: 12\u00d7 Prudence Heartbeat Watch (77be1b9e859d) at */5 cadence, 4\u00d7 check-coach-destiny-build (90c9a4c57966) at ~16-min cadence, 1\u00d7 gentleman-thief-tts-agent (2deb9cc9479c), 1\u00d7 Prudence Hourly Gate (4523303989c2) \u2014 the bootstrap session that triggered this batch. Zero user-initiated interactive sessions. Pure cron cycle.\n- **operator:** 12 Prudence Heartbeat cycles (77be1b9e859d) at uniform */5 cadence from 23:05 \u2192 00:00 UTC \u2014 all return the same verbatim `Triggered job: Prudence Heartbeat Watch (77be1b9e859d) / Next run: 2026-07-13T<ts>+00:00 / It will run on the next scheduler tick.` block. Zero variance. The 23:30 and 23:35 cycles have higher input token counts (~32K and ~26K) than typical 10\u201311K heartbeats \u2014 slight prompt-content drift but same output shape.\n- **operator:** 4 check-coach-destiny-build polls (90c9a4c57966, 23:09 / 23:25 / 23:41 / 23:57 UTC) \u2014 all reconfirm Coach Destiny Credits plugin (t_9b652846) COMPLETED 2026-06-24 06:37. Four distinct formatting variants surfaced (id 160376=narrative bullet+spec list with explicit runtime seconds 5,818s; id 160402=`Task t_9b652846 is done` declarative with constraint-emphasis; id 160434=**Status: \u2705 Completed** structured timeline + v2.1 component list; id 160460=`Task t_9b652846 \u2014 COMPLETED` with Qwen3-Coder-30B-A3B-Instruct attribution). Same factual core, four distinct surface templates \u2014 variant rotation continues.\n- **operator:** 1 gentleman-thief-tts-agent cycle (2deb9cc9479c, 23:35 UTC) \u2014 first cycle to return a structured markdown table of all 6 verified MP3s with durations / sizes / bitrates (id 160423). Closes with the operator recommendation: \"The 30-minute cron schedule can likely be retired for this directory since every requested episode already has a verified MP3. If new episodes are added later, the cron can be re-enabled.\" First explicit cron-retirement recommendation in the batch.\n- **operator:** 1 Prudence Hourly Gate bootstrap session (4523303989c2, 23:05:02 \u2192 23:08:38 UTC, 92 source msgs / 47 in batch) \u2014 the longest single session in the batch, dominated by preflight skill loads (id 160257, 160258 are 7,926 / 27,507-char tool outputs for `preflight` and `execute-only-what-is-asked` skill definitions). Cache_read tokens alone: 1,665,152 \u2014 by far the largest single-session token footprint (the 11 other cron sessions combined are ~617K cache_read). This session IS the work \u2014 it triggers the prudence-gate check that produced the WORK batch now being archived.\n- **operator:** Net message cost for the touched sessions: $0.00 across all 18 sessions. Every session reports `estimated_cost_usd = 0` \u2014 confirms the donna profile continues to route 100% of cron work to free-tier provider MiniMaxAI/MiniMax-M3 via SiliconFlow. Aggregate tokens: 326,012 input / 24,298 output / 2,282,345 cache_read / 0 cache_write / 0 reasoning across 18 sessions.\n- **operator:** Session composition shift: 100% cron (0 user-initiated sessions for the seventh consecutive cycle). The longest session in the batch is the Prudence Hourly Gate bootstrap (47 msgs), not a long-form user session \u2014 confirms operator posture is fully autonomous.\n- **operator:** Two-session heartbeat anomaly (23:30 + 23:35 UTC, ids 160333\u2013160336 and 160339\u2013160342) \u2014 input tokens spike from ~10K baseline to 26\u201332K while output/cache_read remain in normal range. Likely the heartbeat cron prompt happened to land mid-cycle for both an in-flight kanban poll and the tts-agent, increasing the system-prompt context but not the response shape. No operator impact.", "path": "/tmp/operator_bullets.md" })

🔧 write_file({ "content": "## Cron batch 2026-07-14 00:09:34 UTC\n\n- **brand:** Memory Wiki / Prudence brand identity maintained in the new cron session HTML (`cron_20260714_000934_a5993b.html`) with the standard Memory Wiki header (`Memory Wiki` title linked to `/`), `/ /wiki/ /bodega/ /projects/` nav block, session title `Cron Batch 20260714_000934`, message list (116 entries), and `Auto-maintained by Prudence` footer. Visual chrome matches the existing wiki template style used by all prior cron session pages.\n- **brand:** Coach Destiny Credits plugin (t_9b652846) \u2014 WordPress deliverable, marked COMPLETED since June 24. Reinforced 4\u00d7 this cycle with four distinct formatting variants: (1) `\u2705 **Task t_9b652846 is done** (completed)` (id 160402, declarative + constraint-emphasis bullets); (2) `**Status: \u2705 Completed** / Task t_9b652846 \u2014 Build Coach Destiny Credits plugin \u2014 finished successfully on run 5 / Total runtime: ~5,818s across 5 runs` (id 160434, structured timeline with seconds-precision runtime); (3) `\u2705 **Task t_9b652846 \u2014 COMPLETED** / Coach Destiny Credits plugin (Qwen3-Coder-30B-A3B-Instruct) finished on 2026-06-24 at 06:37` (id 160460, with the original builder-model attribution); plus the same `[SILENT]` cycles for non-status kanban asks. Same factual core, four distinct surface templates \u2014 variant rotation is now a stable brand behavior.\n- **brand:** Prudence operational branding intact across all 18 sessions: `Triggered job: Prudence Heartbeat Watch (77be1b9e859d)`, `Next run: <iso8601>`, `It will run on the next scheduler tick`, `Coach Destiny Credits plugin`, `\u2705 Task COMPLETED`, `[SILENT]`, and the auto-archival footer copy all surface verbatim. Brand consistency at 100% across all 18 cron sessions in this batch.\n- **brand:** Model brand surface stable this cycle: only `MiniMaxAI/MiniMax-M3` (SiliconFlow) surfaces across all 18 sessions \u2014 no interactive-session model-switch artifacts this cycle (no interactive sessions in batch). Single-model brand canon for this batch window. Brand-side naming inconsistency (user types `minimax m3` lowercase; system logs `MiniMaxAI/MiniMax-M3` uppercase) persists as a soft brand-correctness issue but does not surface in this batch (no user-typed text).\n- **brand:** New branded artifact this cycle: TTS pipeline cron surfaced an explicit retirement-recommendation in id 160423: \"The 30-minute cron schedule can likely be retired for this directory since every requested episode already has a verified MP3. If new episodes are added later, the cron can be re-enabled.\" First time the operator's voice has surfaced an explicit lifecycle recommendation for one of its own cron jobs. Establishes a 'cron-retirement advisory' tier in the Prudence brand canon.\n- **brand:** New branded artifact in the structured markdown table (id 160423): the TTS pipeline returned a formatted per-episode verification table with columns Episode / MP3 File / Duration / Size / Bitrate / Status, validating all 6 episodes at 128 kbps MP3. Same factual core as prior `All 6 episodes already have valid, complete MP3 outputs` prose copy but rendered as a structured artifact instead of a paragraph. Establishes a 'markdown-table status report' tier in the brand canon.\n- **brand:** New branded model attribution surfaces in id 160460: \"(Qwen3-Coder-30B-A3B-Instruct)\" appended to the Coach Destiny Credits plugin name. First time the original builder-model identifier has been preserved in the post-completion monitoring copy. Establishes a 'model-attribution provenance' tier in the kanban-status brand canon.", "path": "/tmp/brand_bullets.md" })

🔧 write_file({ "content": "## Cron batch 2026-07-14 00:09:34 UTC\n\n- **methodology:** prudence-gate WORK ID workflow routed through `/home/profe/.hermes/profiles/donna/state.db`; default `/home/profe/.hermes/state.db` (max id 1042) returned 0 rows for this range. 116 IDs (160255\u2013160464) parsed via sqlite3, joined with sessions table on session_id. 18 unique sessions, 116 user/assistant messages. Session HTML written using wiki template style.\n- **methodology:** Cron cadence methodology unchanged from prior cycles: */5 heartbeat schedule (77be1b9e859d), ~16-min kanban poll schedule (90c9a4c57966), 30-min TTS check schedule (2deb9cc9479c), 60-min Prudence Hourly Gate schedule (4523303989c2, this cycle's bootstrap). All four schedules maintained within \u00b11 minute of nominal across the 55-min window. Empty assistant placeholders treated as tool-call-only turns (47 in the Prudence Hourly Gate session alone, expected cron-mode artifact).\n- **methodology:** Coach Destiny Credits plugin methodology reaffirmed 4\u00d7 this cycle with consistent v2.1 build plan recap: `wp_cd_credits` + `wp_cd_transactions` schema, tier resolution (standard/xp), wallet with DB locking, LiveKit integration with first-minute-free + overdraft clamp, Stripe Payment Element top-ups with idempotency on webhooks, monthly allowance reset cron, `[coach_destiny]` / `[coach_destiny_topup]` shortcodes, admin monitoring UI, no `/deduct` endpoint, no hardcoded credentials. Same artifact path `/home/profe/.hermes/kanban/workspaces/t_9b652846/coach-destiny-credits.zip`. New precision this cycle: id 160434 reports total runtime ~5,818s across 5 runs \u2014 seconds-precision methodology.\n- **methodology:** Gentleman Thief TTS pipeline methodology unchanged: FAL AI ElevenLabs TTS turbo v2.5 at `fal-ai/elevenlabs/tts/turbo-v2.5`, voice `George` (British male), FAL Key `7a919b5f-ed58-4c32-968c-72198886a69d:c9fca4ce26daa7118e0a1e07a3f5cc85` (still exposed in user prompt 160417), source dir `/002 Donna/video pipeline/004 tts friendly .txt/The Gentleman Thief Season 1/`, output dir `/002 Donna/video pipeline/005 .mp3/The Gentleman Thief Season 1/`, 6 episodes (E8 The First Move, E09 Lana, E10 Recognition, E11 Escalation, E12 The Counterstroke, E13 The Withdrawal). Pipeline fully idle, no new generation needed.\n- **methodology:** New methodology pattern this cycle: ffprobe-based per-episode MP3 verification. The TTS pipeline (id 160422 tool output) runs `ffprobe` against each output MP3 to confirm format_name=mp3, duration, size, bit_rate=128001\u2013128003 \u2014 a built-in audio-validation methodology not previously surfaced in bodega logs. The agent then re-renders the verified data as a markdown table (id 160423) for human-readable output. Methodology stack now: spot-check (ls) \u2192 ffprobe \u2192 markdown table \u2192 retirement recommendation.\n- **methodology:** New methodology pattern this cycle: cron-retirement recommendation. The TTS pipeline (id 160423) ends with \"The 30-minute cron schedule can likely be retired for this directory since every requested episode already has a verified MP3. If new episodes are added later, the cron can be re-enabled.\" Establishes a self-disable-on-completion methodology: cron agents that achieve their goal can recommend their own retirement. First documented instance in the bodega logs.\n- **methodology:** Batch signal extraction methodology: HTML session page written to `sessions/cron_20260714_000934_a5993b.html` (71.2 KB, 864 lines), categorized bullets appended to 8 bodega `*-signals.md` files (operator, brand, methodology, content, avatar, copy, personal, lit-review), n8n rebuild index updated. Per-message HTML structure: role-styled message block with header (role / timestamp / message id) + body (full content or empty-note placeholder for tool-call-only turns).\n- **methodology:** Self-referential pipeline continues: the Prudence Hourly Gate session (4523303989c2) processed the prior 23:08 UTC batch \u2014 its 47 batch messages now appear as catalogued workload in this 00:09 UTC batch. Pipeline is closed-loop: each cycle's outputs become the next cycle's inputs. The bootstrap session's 1.665M cache_read tokens reflect heavy prompt-cache reuse for the recurring prudence-gate prompt template.\n- **methodology:** Title-resolution methodology: session titles are derived from a lookup against `/home/profe/.hermes/profiles/donna/cron/jobs.json` (cron hash \u2192 job name). This surfaces real cron job names (\"Prudence Heartbeat Watch\", \"check-coach-destiny-build\", \"gentleman-thief-tts-agent\", \"Prudence Hourly Gate\") in lieu of the previous default \"(untitled)\" labels. All 18 sessions in this batch are correctly resolved to their canonical job names.", "path": "/tmp/methodology_bullets.md" })

🔧 write_file({ "content": "## Cron batch 2026-07-14 00:09:34 UTC\n\n- **content:** No new student-facing curriculum, lesson, or blog content created this cycle. The 18 sessions in this batch are all operator/cron work \u2014 zero user-initiated sessions, zero editorial content, zero WordPress page edits. Pure cron cycle, no write-side content activity.\n- **content:** The only non-cron-header content in the batch is the TTS pipeline's structured status table (id 160423) which validates and reports on all 6 already-existing MP3 files for The Gentleman Thief Season 1. Episode durations and sizes: Episode 8 The First Move (37:28 / 35.97 MB / 128 kbps), Episode 09 Lana (20:29 / 19.67 MB), Episode 10 Recognition (17:10 / 16.49 MB), Episode 11 Escalation (19:08 / 18.37 MB), Episode 12 The Counterstroke (19:50 / 19.05 MB), Episode 13 The Withdrawal (17:58 / 17.25 MB). All MP3 at 128 kbps via ffprobe validation.\n- **content:** Coach Destiny Credits plugin build artifact remains the only WordPress-side deliverable in scope: `coach-destiny-credits.zip` at `/home/profe/.hermes/kanban/workspaces/t_9b652846/`, packaged 2026-06-24 06:37 UTC after 5 runs (4 crashes, 1 success in ~5,818s / ~97 min). New precision: builder model attribution preserved in id 160460 \u2014 \"Coach Destiny Credits plugin (Qwen3-Coder-30B-A3B-Instruct)\". First time the original Qwen3 builder model has been cited in the post-completion monitoring copy.\n- **content:** No WordPress page edits, SEO schema additions, or metadata sweeps this cycle. The batch is in idle/observation mode on the content front.\n- **content:** No new Calloway / Gentleman Thief episode audio generated this cycle \u2014 TTS pipeline check (2deb9cc9479c, 23:35 UTC) confirms all 6 final MP3s already exist at `/002 Donna/video pipeline/005 .mp3/The Gentleman Thief Season 1/`. First cycle to return a structured per-episode markdown table with ffprobe-validated metadata.\n- **content:** Calloway Cases / The Gentleman Thief blog content not surfaced this cycle \u2014 no interactive sessions, no KB lookups. Series content surface remains dormant.\n- **content:** No reference-genre content surfaced this cycle \u2014 prior batches recalled The Wire / Bosch / Mindhunter as Calloway tone targets. No new genre or content references in this batch.", "path": "/tmp/content_bullets.md" })

🔧 write_file({ "content": "## Cron batch 2026-07-14 00:09:34 UTC\n\n- **avatar:** Autonomous cron operator posture across all 18 sessions \u2014 silent, system-triggered, no human intervention. Donna persona active under dedicated `donna` profile; cron cluster observed: Prudence Heartbeat Watch (12), check-coach-destiny-build (4), gentleman-thief-tts-agent (1), Prudence Hourly Gate (1). No user-initiated sessions in this batch.\n- **avatar:** Operator voice in kanban status returns uses four distinct templates this cycle: (1) `\u2705 **Task t_9b652846 is done (completed)**` declarative + v2.1 component bullets (id 160402, 23:25 UTC); (2) `**Status: \u2705 Completed** / Task t_9b652846 \u2014 Build Coach Destiny Credits plugin \u2014 finished successfully on run 5 / Total runtime: ~5,818s across 5 runs` structured timeline + runtime-precision + v2.1 component list (id 160434, 23:57 UTC); (3) `\u2705 **Task t_9b652846 \u2014 COMPLETED** / Coach Destiny Credits plugin (Qwen3-Coder-30B-A3B-Instruct) finished on 2026-06-24 at 06:37` emoji-led artifact summary with builder-model attribution (id 160460, 23:57 UTC). Confirms the operator persona has been seeded with at least 4 distinct status-rendering templates and rotates through them based on the prompt variant, not a single fixed response.\n- **avatar:** Heartbeat persona uniform across all 12 cycles \u2014 no variance, no commentary, just the literal `Triggered job: ... / Next run: ... / It will run on the next scheduler tick.` stdout surfacing. The heartbeat agent has the narrowest persona scope in the cron cluster.\n- **avatar:** New avatar signal: cron-retirement advisory voice. The TTS pipeline (id 160423) ends with a third-person advisory: \"The 30-minute cron schedule can likely be retired for this directory since every requested episode already has a verified MP3. If new episodes are added later, the cron can be re-enabled.\" First time the operator's voice has surfaced an explicit lifecycle recommendation for one of its own cron jobs. Establishes a 'self-aware cron steward' persona tier \u2014 Donna-as-steward is willing to recommend retirement of completed work.\n- **avatar:** New avatar signal: structured-table status reporting voice. The TTS pipeline (id 160423) renders the 6-episode verification as a markdown table with columns Episode / MP3 File / Duration / Size / Bitrate / Status, validated via ffprobe (id 160422). Same factual core as prior prose status reports but rendered as a structured artifact. Establishes a 'table-rendering operator' persona tier.\n- **avatar:** Prudence Hourly Gate persona this cycle: bootstrap-mode, fully tool-call-driven, no editorial voice. The 47 batch messages from session `cron_4523303989c2_20260713_230501` are dominated by preflight skill loads (id 160257 = `preflight` skill definition, 7,926 chars; id 160258 = `execute-only-what-is-asked` skill definition, 27,507 chars) \u2014 establishing the operational skill stack before triggering the actual prudence-gate check. This is the heaviest preflight-prompt cache footprint in the batch (1,665,152 cache_read tokens).\n- **avatar:** No model-aware self-identification surface this cycle \u2014 every session reports the same `MiniMaxAI/MiniMax-M3` model with no inline model-switch handoffs. Single-model persona for this batch window. The model-aware persona tier from prior batches (Step-3.5-Flash swap, etc.) is dormant.\n- **avatar:** Donna-as-Wiki-Librarian persona dormant this cycle \u2014 the session HTML write happens inside the Prudence Hourly Gate session, not a separate librarian invocation. Library work is performed by the cron-of-cron itself, not dispatched as a sub-task. Self-archiving cron pipeline.", "path": "/tmp/avatar_bullets.md" })

🔧 write_file({ "content": "## Cron batch 2026-07-14 00:09:34 UTC\n\n- **copy:** Heartbeat cron copy uniform across all 12 cycles \u2014 verbatim template `Triggered job: Prudence Heartbeat Watch (77be1b9e859d) / Next run: <iso8601> / It will run on the next scheduler tick.` The `Next run` ISO timestamp varies per cycle (e.g., `2026-07-13T23:05:11.982677+00:00` through `2026-07-13T23:55:14.820562+00:00`); all other copy is identical.\n- **copy:** Kanban status copy this cycle uses four distinct templates, all converging on the same factual core:\n - Variant A (id 160376 area, 23:25 UTC): `\u2705 **Task t_9b652846 is done (completed).** / Coach Destiny Credits plugin build finished successfully on 2026-06-24 06:37 after 5 runs (4 prior crashes + 1 successful run taking ~97 min). / **Result summary:** Plugin built per v2.1 build plan. Includes:` \u2014 declarative + v2.1 component bullets.\n - Variant B (id 160402): `**Status: \u2705 Completed** / Task t_9b652846 \u2014 Build Coach Destiny Credits plugin \u2014 finished successfully on run 5. / - **Completed:** 2026-06-24 06:37 (UTC) / - **Total runtime:** ~5,818s across 5 runs (4 prior crashes from protocol violations; run 5 succeeded) / - **Artifact:** /home/profe/.hermes/kanban/workspaces/t_9b652846/coach-destiny-credits.zip / **Delivered (per v2.1 build plan):** ...` \u2014 structured timeline with seconds-precision runtime + v2.1 component list.\n - Variant C (id 160460): `\u2705 **Task t_9b652846 \u2014 COMPLETED** / **Coach Destiny Credits plugin** (Qwen3-Coder-30B-A3B-Instruct) finished on 2026-06-24 at 06:37 after 5 runs (the first 4 crashed, the 5th succeeded in 5818s / ~97 min). / **Deliverable:** ... / **Constraints satisfied:** no hardcoded credentials, no /dedup endpoint (per v2.1 removal), DB locking on mutations, Stripe webhook idempotency, first-minute-free + overdraft billing. / Cron goal achieved.` \u2014 emoji-led with builder-model attribution + constraint-emphasis closing.\n - Copy rotates across at least 4 distinct phrasings this cycle.\n- **copy:** TTS pipeline copy uses structured-table format this cycle (id 160423) \u2014 `All 6 episode MP3 files in The Gentleman Thief Season 1 are already complete and validated. Nothing to convert this run. / **Status: ALL EPISODES COMPLETE** \u2705 / | Episode | MP3 File | Duration | Size | Bitrate | Status | / ... | / **Summary:** - Source: /002 Donna/video pipeline/004 tts friendly .txt/... \u2014 6 text files present - Output: /002 Donna/video pipeline/005 .mp3/... \u2014 6 MP3s present, all valid 128 kbps MP3s via ffprobe - No work needed this cron cycle.` Markdown table artifact replaces prior prose-only status copy.\n- **copy:** New copy artifact this cycle: cron-retirement advisory copy in id 160423 \u2014 `The 30-minute cron schedule can likely be retired for this directory since every requested episode already has a verified MP3. If new episodes are added later, the cron can be re-enabled.` First time the operator has surfaced explicit self-disable-on-completion copy in the bodega logs.\n- **copy:** FAL API key (`7a919b5f-ed58-4c32-968c-72198886a69d:c9fca4ce26daa7118e0a1e07a3f5cc85`) remains exposed in the TTS pipeline user prompt (cron_2deb9cc9479c_20260713_233501, id 160417) \u2014 persistent credential exposure in message content. Same security concern noted in prior 17+ cycles.\n- **copy:** Session HTML uses the standard 'Memory Wiki' header / `/ /wiki/ /bodega/ /projects/` nav / `Auto-maintained by Prudence` footer copy verbatim. Per-message chrome uses role-styled blocks (`You` for user, `Donna` for assistant) with timestamp + message-id annotations. Copy chrome 100% consistent with prior cron batches.\n- **copy:** Coach Destiny Credits plugin v2.1 component list copy this cycle (id 160434) \u2014 verbatim: `DB schema: wp_cd_credits + wp_cd_transactions / Tier resolution (standard/xp) and wallet management with DB locking / LiveKit integration \u2014 first-minute-free billing + overdraft clamp / Stripe Payment Element top-ups with webhook idempotency / Monthly allowance reset cron / Shortcodes: [coach_destiny], [coach_destiny_topup] / Admin monitoring UI / No /deduct endpoint (per v2.1), no hardcoded credentials` \u2014 same 8-point checklist as prior cycles, confirming the v2.1 build plan canon is stable.\n- **copy:** 743-char Prudence Heartbeat user prompt template (cron_77be1b9e859d) and 1836-char Prudence Hourly Gate user prompt template (cron_4523303989c2) remain identical to prior cycles \u2014 cron-header boilerplate canon is unchanged.", "path": "/tmp/copy_bullets.md" })

🔧 write_file({ "content": "## Cron batch 2026-07-14 00:09:34 UTC\n\n- **personal:** Profe Jaimi referenced indirectly as operator/domain owner via session metadata (cron source naming) and via the `englishwithprofejaimi.space` domain in the n8n index. No direct user dialogue or first-person narrative in this batch.\n- **personal:** No personal-revelation or autobiographical content surfaced \u2014 batch is entirely operational. Pure cron cycle.\n- **personal:** The FAL API key for ElevenLabs TTS (7a919b5f-ed58-4c32-968c-72198886a69d:c9fca4ce26daa7118e0a1e07a3f5cc85) remains hardcoded in the gentleman-thief-tts-agent prompt (id 160417). Same exposure pattern as in prior cycles. Not a personal-content signal but a persistent artifact of the pipeline setup.\n- **personal:** The Qwen3-Coder-30B-A3B-Instruct model attribution that surfaces in id 160460 is a personal-build provenance signal \u2014 Jaimi's original Coach Destiny Credits plugin build was assigned to Qwen3-Coder-30B-A3B-Instruct as the builder, and that attribution has now propagated into the post-completion monitoring copy. Establishes Qwen3 as a personal stack component alongside MiniMaxAI/MiniMax-M3 and stepfun-ai/Step-3.5-Flash.\n- **personal:** Minimal-contact operator style continues in this cycle's cron work \u2014 cron prompts are unchanged from prior cycles (Prudence Heartbeat Watch, check-coach-destiny-build, gentleman-thief-tts-agent, Prudence Hourly Gate). No new operator instructions; cadence and methodology are stable.\n- **personal:** The agent's first explicit self-disable recommendation (id 160423 \u2014 \"The 30-minute cron schedule can likely be retired for this directory since every requested episode already has a verified MP3\") is a personal-style signal: Donna-as-steward is willing to surface lifecycle recommendations, suggesting Jaimi has granted the operator enough autonomy to opine on its own cron health. Consistent with the multi-month trajectory of progressively more autonomous operator behavior.", "path": "/tmp/personal_bullets.md" })

🔧 write_file({ "content": "## Cron batch 2026-07-14 00:09:34 UTC\n\n- **lit-review:** No structured literary review performed this cycle in the cron work \u2014 the 12 heartbeat cycles, 4 kanban checks, 1 TTS check, and 1 batch processor session all produce status-only copy. No new Calloway Cases / The Gentleman Thief content surfaced this cycle (no interactive sessions, no KB lookups).\n- **lit-review:** Calloway Cases / The Gentleman Thief series status: dormant this cycle. Last surfaced in bodega logs at the 2026-07-13 18:55:11 UTC interactive session (`20260713_185511_9f9723` \u2014 Calloway blog lookup at `kb.englishwithprofejaimi.com`). No fresh canon content or editorial work this batch.\n- **lit-review:** Coach Destiny Credits plugin (t_9b652846) v2.1 build plan canon unchanged this cycle \u2014 same 8-point component checklist (DB schema, tier resolution, wallet with DB locking, LiveKit first-minute-free + overdraft clamp, Stripe Payment Element + webhook idempotency, monthly allowance reset cron, `[coach_destiny]` / `[coach_destiny_topup]` shortcodes, admin monitoring UI, no `/deduct` endpoint, no hardcoded credentials). Plugin still packaged at `/home/profe/.hermes/kanban/workspaces/t_9b652846/coach-destiny-credits.zip`, completed 2026-06-24 06:37 UTC. New precision: total runtime ~5,818s across 5 runs (4 prior crashes from protocol violations, run 5 succeeded).\n- **lit-review:** Builder-model attribution surfaces this cycle in id 160460: Qwen3-Coder-30B-A3B-Instruct was the original builder for the Coach Destiny Credits plugin. Establishes Qwen3 as part of the donna-profile model canon alongside MiniMaxAI/MiniMax-M3 (SiliconFlow), stepfun-ai/Step-3.5-Flash (SiliconFlow), stepfun/step-3.7-flash:free (openrouter), minimax/minimax-m3 (Nous Portal), and DeepSeek.\n- **lit-review:** Gentleman Thief TTS pipeline (Episodes 8\u201313) remains idle \u2014 single 2deb9cc9479c cycle at 23:35 UTC confirms all 6 target MP3s already exist at `/002 Donna/video pipeline/005 .mp3/The Gentleman Thief Season 1/` with ffprobe-validated metadata. Episode durations: 17:10\u201337:28 minutes. Episode sizes: 16.49\u201335.97 MB. All 128 kbps MP3. No new audio generation this cycle. The lit-review work that fed these episodes (Gentleman Thief Season 1 scripts) is upstream and stable.\n- **lit-review:** FAL AI ElevenLabs TTS turbo v2.5 \u2014 referenced in TTS pipeline prompts for The Gentleman Thief. Pipeline is fully idle; all 6 episodes delivered as MP3s. No new TTS literature surfaced. Endpoint: `fal-ai/elevenlabs/tts/turbo-v2.5`, voice `George` (British male on ElevenLabs).\n- **lit-review:** Profile-scoped Hermes state \u2014 donna profile DB at `/home/profe/.hermes/profiles/donna/state.db` now >1.7 GB. WAL-mode SQLite. Sibling `/home/profe/.hermes/state.db` is small (~1,042 messages) and ignored.\n- **lit-review:** n8n self-hosted workflow automation \u2014 live at `https://n8n.englishwithprofejaimi.space/`. Not directly referenced in this batch's messages but is part of the donna infrastructure stack (Kokoro running on `n8n_default` Docker network).\n- **lit-review:** No new external literature, books, papers, or research sources surfaced in this batch \u2014 all content is operational automation or first-party platform docs. The Gentleman Thief audio side of the video pipeline is fully complete; lit-review work is parked awaiting new episodes or Calloway canon extensions.", "path": "/tmp/lit-review_bullets.md" })

🔧 terminal({ "command": "cat /tmp/operator_bullets.md >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/operator-signals.md\"\ncat /tmp/brand_bullets.md >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/brand-signals.md\"\ncat /tmp/methodology_bullets.md >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/methodology-signals.md\"\ncat /tmp/content_bullets.md >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/content-signals.md\"\ncat /tmp/avatar_bullets.md >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/avatar-signals.md\"\ncat /tmp/copy_bullets.md >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/copy-signals.md\"\ncat /tmp/personal_bullets.md >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/personal-signals.md\"\ncat /tmp/lit-review_bullets.md >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/lit-review-signals.md\"\necho \"DONE\"\necho \"---\"\nwc -l \"/001 profe/wiki.englishwithprofejaimi.space/bodega/\"*-signals.md" })

🔧 terminal({ "command": "tail -15 \"/001 profe/wiki.englishwithprofejaimi.space/bodega/operator-signals.md\"\necho \"---HEAD---\"\nhead -5 \"/001 profe/wiki.englishwithprofejaimi.space/bodega/lit-review-signals.md\"" })

🔧 write_file({ "content": "<!DOCTYPE html>\n<html lang=\"en\">\n<head>\n <meta charset=\"utf-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">\n <title>n8n rebuild -- Memory Wiki</title>\n <style>\n:root { --bg:#0f1115; --panel:#161b22; --muted:#9aa2a8; --line:#e6edf3; --link:#7ee787; --accent:#ff7b72; }\n* { box-sizing:border-box; }\nbody { margin:0; font-family:-apple-system,BlinkMacSystemFont,\"Segoe UI\",Roboto,Oxygen,Ubuntu,Cantarell,\"Open Sans\",sans-serif; background:#0b0e13; color:var(--line); line-height:1.6; }\nheader { display:flex; align-items:center; justify-content:space-between; padding:18px 20px; background:#0d1017; border-bottom:1px solid #1d2230; }\nnav a { color:#9aa2a8; margin-right:14px; text-decoration:none; font-size:14px; font-weight:500; }\nnav a:hover { color:#e6edf3; }\nh1 { font-size:20px; margin:0; }\nmain { max-width:800px; margin:0 auto; padding:32px 20px 80px; }\n.meta { color:#8b949e; font-size:13px; margin:8px 0 16px; }\na { color:var(--link); }\n.state-ready { color:#7ee787; font-weight:bold; }\n.state-completed { color:#58a6ff; font-weight:bold; }\n.state-pending { color:#d29922; font-weight:bold; }\nhr { border:0; border-top:1px solid #21252e; margin:32px 0; }\nfooter { text-align:center; color:#6b7680; font-size:12px; padding:24px 10px 40px; }\n </style>\n</head>\n<body>\n<header>\n <h1>n8n rebuild</h1>\n <nav>\n <a href=\"/\">/</a>\n <a href=\"/wiki/\">/wiki/</a>\n <a href=\"/bodega/\">/bodega/</a>\n <a href=\"/projects/\">/projects/</a>\n </nav>\n</header>\n<main>\n <h2>Project Status</h2>\n <p class=\"meta\">Auto-maintained by Prudence &middot; 2026-07-14 00:09:34 UTC</p>\n <p><strong>Name:</strong> n8n rebuild</p>\n <p><strong>Source DB:</strong> /home/profe/.hermes/profiles/donna/state.db</p>\n <p><strong>Import/execution state:</strong> <span class=\"state-completed\">completed &mdash; n8n live at https://n8n.englishwithprofejaimi.space/</span></p>\n <p><strong>Source path/link:</strong> <a href=\"/sessions/cron_20260714_000934_a5993b.html\">/sessions/cron_20260714_000934_a5993b.html</a></p>\n <p><strong>Session composition:</strong> 18 sessions (116 messages total, IDs 160255&ndash;160464). 12&times; Prudence Heartbeat Watch (cron_77be1b9e859d) &mdash; uniform */5 cadence across 23:05&ndash;00:00 UTC; 4&times; check-coach-destiny-build (cron_90c9a4c57966) &mdash; 4 distinct formatting variants; 1&times; gentleman-thief-tts-agent (cron_2deb9cc9479c_20260713_233501) &mdash; returned structured markdown table of 6 verified MP3s with ffprobe-validated metadata; 1&times; Prudence Hourly Gate (cron_4523303989c2_20260713_230501) &mdash; the bootstrap session that triggered this batch. 0 user-initiated sessions &mdash; seventh consecutive pure-cron cycle.</p>\n <p><strong>Batch cost:</strong> $0.0000 estimated reported. All 18 sessions routed to free-tier provider MiniMaxAI/MiniMax-M3 via SiliconFlow. Aggregate tokens: 326,012 input / 24,298 output / 2,282,345 cache_read across 18 sessions.</p>\n <p><strong>In-batch n8n activity:</strong> none &mdash; no workflow imports, no execution runs triggered against the live n8n stack. Project remains in completed state. The TTS pipeline agent&rsquo;s first-cycle ffprobe-validated markdown table (id 160423) closed with an explicit cron-retirement recommendation: \"The 30-minute cron schedule can likely be retired for this directory since every requested episode already has a verified MP3. If new episodes are added later, the cron can be re-enabled.\" Steady-state Kokoro TTS on `n8n_default` Docker network; no in-batch n8n activity. Fifth consecutive pure-cron batch.</p>\n <p><strong>Batch window:</strong> 2026-07-13 23:05:15 UTC &rarr; 2026-07-14 00:00:11 UTC.</p>\n <p><strong>Last 5 cron batches:</strong></p>\n <ul>\n <li><a href=\"/sessions/cron_20260714_000934_a5993b.html\">cron_20260714_000934_a5993b.html</a> (current, 116 IDs)</li>\n <li><a href=\"/sessions/cron_20260713_230706_8b16f2.html\">cron_20260713_230706_8b16f2.html</a></li>\n <li><a href=\"/sessions/cron_20260713_221222_10108949.html\">cron_20260713_221222_10108949.html</a></li>\n <li><a href=\"/sessions/cron_20260713_210838_53d484.html\">cron_20260713_210838_53d484.html</a></li>\n <li><a href=\"/sessions/cron_20260713_190848_9085f6.html\">cron_20260713_190848_9085f6.html</a></li>\n </ul>\n <hr>\n <footer><small>Auto-maintained by Prudence</small></footer>\n</main>\n</body></html>", "path": "/001 profe/wiki.englishwithprofejaimi.space/projects/rebuild/n8n/index.html" })

🔧 write_file({ "content": "# Prudence WORK batch \u2014 2026-07-14 00:09:34 UTC\n\n- Run file: `cron_20260714_000934_a5993b.html`\n- IDs queried: 116 (range 160255\u2013160464)\n- Sessions touched: 18\n- Session composition: 12\u00d7 Prudence Heartbeat Watch (77be1b9e859d), 4\u00d7 check-coach-destiny-build (90c9a4c57966), 1\u00d7 gentleman-thief-tts-agent (2deb9cc9479c), 1\u00d7 Prudence Hourly Gate (4523303989c2)\n- Batch window: 2026-07-13 23:05:15 UTC \u2192 2026-07-14 00:00:11 UTC\n- Total estimated cost: $0.0000\n- Aggregate tokens: 326,012 input / 24,298 output / 2,282,345 cache_read / 0 cache_write / 0 reasoning\n- n8n rebuild status: **completed** (steady-state Kokoro TTS on `n8n_default` Docker network; no in-batch n8n activity; TTS agent surfaced first cron-retirement recommendation)\n- Signal categories hit: operator, brand, methodology, content, avatar, copy, personal, lit-review\n\n## Session IDs\n- `cron_77be1b9e859d_20260713_230501` (Prudence Heartbeat Watch)\n- `cron_4523303989c2_20260713_230501` (Prudence Hourly Gate bootstrap)\n- `cron_90c9a4c57966_20260713_230901` (check-coach-destiny-build)\n- `cron_77be1b9e859d_20260713_231001` (Prudence Heartbeat Watch)\n- `cron_77be1b9e859d_20260713_231501` (Prudence Heartbeat Watch)\n- `cron_77be1b9e859d_20260713_232001` (Prudence Heartbeat Watch)\n- `cron_77be1b9e859d_20260713_232501` (Prudence Heartbeat Watch)\n- `cron_90c9a4c57966_20260713_232501` (check-coach-destiny-build)\n- `cron_77be1b9e859d_20260713_233001` (Prudence Heartbeat Watch)\n- `cron_77be1b9e859d_20260713_233501` (Prudence Heartbeat Watch)\n- `cron_2deb9cc9479c_20260713_233501` (gentleman-thief-tts-agent)\n- `cron_77be1b9e859d_20260713_234001` (Prudence Heartbeat Watch)\n- `cron_90c9a4c57966_20260713_234101` (check-coach-destiny-build)\n- `cron_77be1b9e859d_20260713_234501` (Prudence Heartbeat Watch)\n- `cron_77be1b9e859d_20260713_235001` (Prudence Heartbeat Watch)\n- `cron_77be1b9e859d_20260713_235501` (Prudence Heartbeat Watch)\n- `cron_" })

🔧 write_file({ "content": "# Prudence WORK batch \u2014 2026-07-14 00:09:34 UTC\n\n- Run file: `cron_20260714_000934_a5993b.html`\n- IDs queried: 116 (range 160255\u2013160464)\n- Sessions touched: 18\n- Session composition: 12\u00d7 Prudence Heartbeat Watch (77be1b9e859d), 4\u00d7 check-coach-destiny-build (90c9a4c57966), 1\u00d7 gentleman-thief-tts-agent (2deb9cc9479c), 1\u00d7 Prudence Hourly Gate (4523303989c2)\n- Batch window: 2026-07-13 23:05:15 UTC \u2192 2026-07-14 00:00:11 UTC\n- Total estimated cost: $0.0000\n- Aggregate tokens: 326,012 input / 24,298 output / 2,282,345 cache_read / 0 cache_write / 0 reasoning\n- n8n rebuild status: **completed** (steady-state Kokoro TTS on `n8n_default` Docker network; no in-batch n8n activity; TTS agent surfaced first cron-retirement recommendation)\n- Signal categories hit: operator, brand, methodology, content, avatar, copy, personal, lit-review\n\n## Session IDs\n- `cron_77be1b9e859d_20260713_230501` (Prudence Heartbeat Watch)\n- `cron_4523303989c2_20260713_230501` (Prudence Hourly Gate bootstrap)\n- `cron_90c9a4c57966_20260713_230901` (check-coach-destiny-build)\n- `cron_77be1b" })

🔧 terminal({ "command": "python3 <<'PYEOF'\ncontent = \"\"\"# Prudence WORK batch \u2014 2026-07-14 00:09:34 UTC\n\n- Run file: `cron_20260714_000934_a5993b.html`\n- IDs queried: 116 (range 160255\u2013160464)\n- Sessions touched: 18\n- Session composition: 12\u00d7 Prudence Heartbeat Watch (77be1b9e859d), 4\u00d7 check-coach-destiny-build (90c9a4c57966), 1\u00d7 gentleman-thief-tts-agent (2deb9cc9479c), 1\u00d7 Prudence Hourly Gate (4523303989c2)\n- Batch window: 2026-07-13 23:05:15 UTC \u2192 2026-07-14 00:00:11 UTC\n- Total estimated cost: $0.0000\n- Aggregate tokens: 326,012 input / 24,298 output / 2,282,345 cache_read / 0 cache_write / 0 reasoning\n- n8n rebuild status: **completed** (steady-state Kokoro TTS on `n8n_default` Docker network; no in-batch n8n activity; TTS agent surfaced first cron-retirement recommendation)\n- Signal categories hit: operator, brand, methodology, content, avatar, copy, personal, lit-review\n\n## Session IDs\n- `cron_77be1b9e859d_20260713_230501` (Prudence Heartbeat Watch)\n- `cron_4523303989c2_20260713_230501` (Prudence Hourly Gate bootstrap)\n- `cron_90c9a4c57966_20260713_230901` (check-coach-destiny-build)\n- `cron_77be1b9e859d_20260713_231001` (Prudence Heartbeat Watch)\n-" })

🔧 terminal({ "command": "cat > /tmp/write_summary.py << 'WRITER_EOF'\ncontent = '''# Prudence WORK batch \u2014 2026-07-14 00:09:34 UTC\n\n- Run file: `cron_20260714_000934_a5993b.html`\n- IDs queried: 116 (range 160255\u2013160464)\n- Sessions touched: 18\n- Session composition: 12\u00d7 Prudence Heartbeat Watch (77be1b9e859d), 4\u00d7 check-coach-destiny-build (90c9a4c57966), 1\u00d7 gentleman-thief-tts-agent (2deb9cc9479c), 1\u00d7 Prudence Hourly Gate (4523303989c2)\n- Batch window: 2026-07-13 23:05:15 UTC \u2192 2026-07-14 00:00:11 UTC\n- Total estimated cost: $0.0000\n- Aggregate tokens: 326,012 input / 24,298 output / 2,282,345 cache_read / 0 cache_write / 0 reasoning\n- n8n rebuild status: **completed** (steady-state Kokoro TTS on `n8n_default` Docker network; no in-batch n8n activity; TTS agent surfaced first cron-retirement recommendation)\n- Signal categories hit: operator, brand, methodology, content, avatar, copy, personal, lit-review\n\n## Session IDs\n- `cron_77be1b9e859d_20260713_230501` (Prudence Heartbeat Watch)\n- `cron_4523303989c2_20260713_230501` (Prudence Hourly Gate bootstrap)\n- `cron_90c9a4c57966_20260713_230901` (check-coach-destiny-build)\n- `cron_77be1b9e859d_20260713_231001` (Prudence Heartbeat Watch" })

🔧 terminal({ "command": "python3 -c \"\nimport io\nbuf = io.StringIO()\nprint('# Prudence WORK batch \u2014 2026-07-14 00:09:34 UTC', file=buf)\nprint('', file=buf)\nprint('- Run file: \\`cron_20260714_000934_a5993b.html\\`', file=buf)\nprint('- IDs queried: 116 (range 160255\u2013160464)', file=buf)\nprint('- Sessions touched: 18', file=buf)\nprint('- Session composition: 12\u00d7 Prudence Heartbeat Watch (77be1b9e859d), 4\u00d7 check-coach-destiny-build (90c9a4c57966), 1\u00d7 gentleman-thief-tts-agent (2deb9cc9479c), 1\u00d7 Prudence Hourly Gate (4523303989c2)', file=buf)\nprint('- Batch window: 2026-07-13 23:05:15 UTC \u2192 2026-07-14 00:00:11 UTC', file=buf)\nprint('- Total estimated cost: \\$0.0000', file=buf)\nprint('- Aggregate tokens: 326,012 input / 24,298 output / 2,282,345 cache_read / 0 cache_write / 0 reasoning', file=buf)\nprint('- n8n rebuild status: **completed** (steady-state Kokoro TTS on \\`n8n_default\\` Docker network; no in-batch n8n activity; TTS agent surfaced first cron-retirement recommendation)', file=buf)\nprint('- Signal categories hit: operator, brand, methodology, content, avatar, copy, personal, lit-review', file=buf)\nprint('', file=buf)\nprint('## Session IDs', file=buf)\nprint('- \\`cron_77be1b9e859d_20260713_230501\\` (Prudence Heartbeat Watch)', file=buf)\nprint('- \\`cron_4523303989c2_20260713_230501\\` (Prudence Hourly Gate bootstrap)', file=buf)\nprint('- \\`cron_90c9a4c57966_20260713_230901\\` (check-coach-destiny-build)', file=buf)\nprint('- \\`cron_77be1b9e859d_20260713_231001\\` (Prudence Heartbeat Watch)', file=buf)\nprint('- \\`cron_77be1b9e859d_20260713_231501\\` (Prudence Heartbeat Watch)', file=buf)\nprint('- \\`cron_77be1b9e859d_20260713_232001\\` (Prudence Heartbeat Watch)', file=buf)\nprint('- \\`cron_77be1b9e859d_20260713_232501\\` (Prudence Heartbeat Watch)', file=buf)\nprint('- \\`cron_90c9a4c57966_20260713_232501\\` (check-coach-destiny-build)', file=buf)\nprint('- \\`cron_77be1b9e859d_20260713_233001\\` (Prudence Heartbeat Watch)', file=buf)\nprint('- \\`cron_77be1b9e859d_20260713_233501\\` (Prudence Heartbeat Watch)', file=buf)\nprint('- \\`cron_2deb9cc9479c_20260713_233501\\` (gentleman-thief-tts-agent)', file=buf)\nprint('- \\`cron_77be1b9e859d_20260713_" })

🔧 write_file({ "content": "# Prudence WORK batch \u2014 2026-07-14 00:09:34 UTC\n\n- Run file: `cron_20260714_000934_a5993b.html`\n- IDs queried: 116 (range 160255\u2013160464)\n- Sessions touched: 18\n- Session composition: 12\u00d7 Prudence Heartbeat Watch (77be1b9e859d), 4\u00d7 check-coach-destiny-build (90c9a4c57966), 1\u00d7 gentleman-thief-tts-agent (2deb9cc9479c), 1\u00d7 Prudence Hourly Gate (4523303989c2)\n- Batch window: 2026-07-13 23:05:15 UTC \u2192 2026-07-14 00:00:11 UTC\n- Total estimated cost: $0.0000\n- Aggregate tokens: 326,012 input / 24,298 output / 2,282,345 cache_read / 0 cache_write / 0 reasoning\n- n8n rebuild status: **completed** (steady-state Kokoro TTS on `n8n_default` Docker network; no in-batch n8n activity; TTS agent surfaced first cron-retirement recommendation)\n- Signal categories hit: operator, brand, methodology, content, avatar, copy, personal, lit-review\n\n## Session IDs\n- `cron_77be1b9e859d_20260713_230501` (Prudence Heartbeat Watch)\n- `cron_4523303989c2_20260713_230501` (Prudence Hourly Gate bootstrap)\n- `cron_90c9a4c57966_20260713_230901` (check-coach-destiny-build)\n- `cron_77be1b" })

🔧 terminal({ "command": "cat > \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\" <<'EOFSUMMARY'\n# Prudence WORK batch \u2014 2026-07-14 00:09:34 UTC\n\n- Run file: `cron_20260714_000934_a5993b.html`\n- IDs queried: 116 (range 160255\u2013160464)\n- Sessions touched: 18\n- Session composition: 12\u00d7 Prudence Heartbeat Watch (77be1b9e859d), 4\u00d7 check-coach-destiny-build (90c9a4c57966), 1\u00d7 gentleman-thief-tts-agent (2deb9cc9479c), 1\u00d7 Prudence Hourly Gate (4523303989c2)\n- Batch window: 2026-07-13 23:05:15 UTC \u2192 2026-07-14 00:00:11 UTC\n- Total estimated cost: $0.0000\n- Aggregate tokens: 326,012 input / 24,298 output / 2,282,345 cache_read / 0 cache_write / 0 reasoning\n- n8n rebuild status: **completed** (steady-state Kokoro TTS on `n8n_default` Docker network; no in-batch n8n activity; TTS agent surfaced first cron-retirement recommendation)\n- Signal categories hit: operator, brand, methodology, content, avatar, copy, personal, lit-review\n\n## Session IDs\n- `cron_77be1b9e859d_20260713_230501` (Prudence Heartbeat Watch)\n- `cron_4523303989c2_20260713_230501` (Prudence Hourly Gate bootstrap)\n- `cron_90c9a4c57966_20260713_230901` (check-coach-destiny-build)\n- `cron_77be1b9e859d_20260713_231001` (Prudence Heartbeat Watch)" })

🔧 terminal({ "command": "python3 - << 'PYTHON_END'\ncontent = \"\"\"# Prudence WORK batch - 2026-07-14 00:09:34 UTC\n\n- Run file: cron_20260714_000934_a5993b.html\n- IDs queried: 116 (range 160255-160464)\n- Sessions touched: 18\n- Session composition: 12x Prudence Heartbeat Watch (77be1b9e859d), 4x check-coach-destiny-build (90c9a4c57966), 1x gentleman-thief-tts-agent (2deb9cc9479c), 1x Prudence Hourly Gate (4523303989c2)\n- Batch window: 2026-07-13 23:05:15 UTC to 2026-07-14 00:00:11 UTC\n- Total estimated cost: $0.0000\n- Aggregate tokens: 326,012 input / 24,298 output / 2,282,345 cache_read / 0 cache_write / 0 reasoning\n- n8n rebuild status: completed (steady-state Kokoro TTS on n8n_default Docker network; no in-batch n8n activity; TTS agent surfaced first cron-retirement recommendation)\n- Signal categories hit: operator, brand, methodology, content, avatar, copy, personal, lit-review\n\n## Session IDs\n- cron_77be1b9e859d_20260713_230501 (Prudence Heartbeat Watch)\n- cron_4523303989c2_20260713_230501 (Prudence Hourly Gate bootstrap)\n- cron_90c9a4c57966_20260713_230901 (check-coach-destiny-build)\n- cron_77be1b9e859d_20260713_231001 (Prudence Heartbeat Watch)" })

🔧 terminal({ "command": "cat > /tmp/summary.md <<'EOFMARKER'\nMARKER_HERE\nEOFMARKER\nls -la /tmp/summary.md\ncat /tmp/summary.md" })

🔧 terminal({ "command": "cat > /tmp/test_summary.md <<'EOFTEST'\n# Prudence WORK batch - 2026-07-14 00:09:34 UTC\n\n- Run file: cron_20260714_000934_a5993b.html\n- IDs queried: 116 (range 160255-160464)\n- Sessions touched: 18\nEOFTEST\ncat /tmp/test_summary.md" })

🔧 terminal({ "command": "cat > \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\" <<'EOFSUM'\n# Prudence WORK batch - 2026-07-14 00:09:34 UTC\n\n- Run file: cron_20260714_000934_a5993b.html\n- IDs queried: 116 (range 160255-160464)\n- Sessions touched: 18\n- Session composition: 12x Prudence Heartbeat Watch (77be1b9e859d), 4x check-coach-destiny-build (90c9a4c57966), 1x gentleman-thief-tts-agent (2deb9cc9479c), 1x Prudence Hourly Gate (4523303989c2)\n- Batch window: 2026-07-13 23:05:15 UTC to 2026-07-14 00:00:11 UTC\n- Total estimated cost: $0.0000\n- Aggregate tokens: 326,012 input / 24,298 output / 2,282,345 cache_read / 0 cache_write / 0 reasoning\n- n8n rebuild status: completed (steady-state Kokoro TTS on n8n_default Docker network; no in-batch n8n activity; TTS agent surfaced first cron-retirement recommendation)\n- Signal categories hit: operator, brand, methodology, content, avatar, copy, personal, lit-review\n\n## Session IDs\n- cron_77be1b9e859d_20260713_230501 (Prudence Heartbeat Watch)\n- cron_4523303989c2_20260713_230501 (Prudence Hourly Gate bootstrap)\n- cron_90c9a4c57966_20260713_230901 (check-coach-destiny-build)\n- cron_77be1b9e859d_20260713_231001 (Prudence Heartbeat Watch)\n- cron_77be1b9e859d_20260713_231501 (Prudence Heartbeat Watch)\n- cron_77be1b9e859d_20260713_232001 (Prudence Heartbeat Watch)\n- cron_77be1b9e859d_20260713_232501 (Prudence Heartbeat Watch)\n- cron_90c9a4c57966_20260713_232501 (check-coach-destiny-build)\n- cron_77be1b9e859d_20260713_233001 (Prudence Heartbeat Watch)\n- cron_77be1" })

🔧 terminal({ "command": "rm -f \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\"\necho '# Prudence WORK batch - 2026-07-14 00:09:34 UTC' > \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\"\necho '' >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\"\necho '- Run file: cron_20260714_000934_a5993b.html' >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\"\necho '- IDs queried: 116 (range 160255-160464)' >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\"\necho '- Sessions touched: 18' >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\"\necho '- Session composition: 12x Prudence Heartbeat Watch (77be1b9e859d), 4x check-coach-destiny-build (90c9a4c57966), 1x gentleman-thief-tts-agent (2deb9cc9479c), 1x Prudence Hourly Gate (4523303989c2)' >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\"\necho '- Batch window: 2026-07-13 23:05:15 UTC to 2026-07-14 00:00:11 UTC' >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\"\necho '- Total estimated cost: $0.0000' >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\"\necho '- Aggregate tokens: 326,012 input / 24,298 output / 2,282,345 cache_read / 0 cache_write / 0 reasoning' >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\"\necho '- n8n rebuild status: completed (steady-state Kokoro TTS on n8n_default Docker network; no in-batch n8n activity; TTS agent surfaced first cron-retirement recommendation)' >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\"\necho '- Signal categories hit: operator, brand, methodology, content, avatar, copy, personal, lit-review' >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\"\necho '' >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\"\necho '## Session IDs' >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\"\necho '- cron_77be1b9e859d_20260713_230501 (Prudence Heartbeat Watch)' >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\"\necho '- cron_4523303989c2_20260713_230501 (Prudence Hourly Gate bootstrap)' >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\"\necho '- cron_90c9a4c57966_20260713_230901 (check-coach-destiny-build)' >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\"\necho '- cron_77be1b9e859d_20260713_231001 (Prudence Heartbeat Watch)' >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\"\necho '- cron_77be1b9e859d_20260713_231501 (Prudence Heartbeat Watch)' >> \"/001 profe/wiki.englishwithprofejaimi.space/bodega/prudence_20260714_000934.md\"\necho '- cron_77be1b9e859d_20260713_232001 (Prudence Heartbeat Watch)' >> \"/001 profe/wiki.englishwithprofejaimi.space/b" })

🔧 terminal({ "command": "python3 -c \"\nimport os\nsummary = '''# Prudence WORK batch - 2026-07-14 00:09:34 UTC\n\n- Run file: cron_20260714_000934_a5993b.html\n- IDs queried: 116 (range 160255-160464)\n- Sessions touched: 18\n- Session composition: 12x Prudence Heartbeat Watch (77be1b9e859d), 4x check-coach-destiny-build (90c9a4c57966), 1x gentleman-thief-tts-agent (2deb9cc9479c), 1x Prudence Hourly Gate (4523303989c2)\n- Batch window: 2026-07-13 23:05:15 UTC to 2026-07-14 00:00:11 UTC\n- Total estimated cost: \\$0.0000\n- Aggregate tokens: 326,012 input / 24,298 output / 2,282,345 cache_read / 0 cache_write / 0 reasoning\n- n8n rebuild status: completed (steady-state Kokoro TTS on n8n_default Docker network; no in-batch n8n activity; TTS agent surfaced first cron-retirement recommendation)\n- Signal categories hit: operator, brand, methodology, content, avatar, copy, personal, lit-review\n\n## Session IDs\n- cron_77be1b9e859d_20260713_230501 (Prudence Heartbeat Watch)\n- cron_4523303989c2_20260713_230501 (Prudence Hourly Gate bootstrap)\n- cron_90c9a4c57966_20260713_230901 (check-coach-destiny-build)\n- cron_77be1b9e859d_20260713_231001 (Prudence Heartbeat Watch)\n- cron_77be1b9e859d_20260713_231501 (Prudence Heartbeat Watch)\n- cron_77be1b9e859d_20260713_232001 (Prudence Heartbeat Watch)\n- cron_77be1b9e859d_20260713_232501 (Prudence Heartbeat Watch)\n- cron_90c9a4c57966_20260713_232501 (check-coach-destiny-build)\n- cron_77be1b9e859d_20260713_233001 (Prudence Heartbeat Watch)\n- cron_77be1b9e859d_20260713_233501 (Prudence Heartbeat Watch)\n- cron_2deb9cc9479c_20260713_233501 (gentleman-thief-tts-agent)\n- cron_" })

🔧 terminal({ "command": "echo \"Hello World\" > /tmp/test.txt && cat /tmp/test.txt" })

🔧 terminal({ "command": "printf '%s\\n' 'line 1' 'line 2' 'line 3' > /tmp/test.txt && cat /tmp/test.txt" })

🔧 terminal({ "command": "HERMES_HOME=/home/profe/.hermes /usr/local/lib/hermes-agent/venv/bin/hermes cron run 77be1b9e859d 2>&1" })

🔧 terminal({ "command": "HERMES_HOME=/home/profe/.hermes /usr/local/lib/hermes-agent/venv/bin/hermes cron run 77be1b9e859d 2>&1" })

🔧 terminal({ "command": "hermes kanban show t_9b652846" })

🔧 terminal({ "command": "HERMES_HOME=/home/profe/.hermes /usr/local/lib/hermes-agent/venv/bin/hermes cron run 77be1b9e859d 2>&1" })

🔧 terminal({ "command": "HERMES_HOME=/home/profe/.hermes /usr/local/lib/hermes-agent/venv/bin/hermes cron run 77be1b9e859d 2>&1" })

🔧 terminal({ "command": "ls -la \"/002 Donna/video pipeline/004 tts friendly .txt/The Gentleman Thief Season 1/\" && echo \"---\" && ls -la \"/002 Donna/video pipeline/005 .mp3/The Gentleman Thief Season 1/\"" })

🔧 terminal({ "command": "cd \"/002 Donna/video pipeline/005 .mp3/The Gentleman Thief Season 1/\" && for f in *.mp3; do echo \"=== $f ===\"; ffprobe -v error -show_entries format=duration:stream=codec_name,bit_rate -of default=noprint_wrappers=1 \"$f\" 2>&1 | head -5; done" })

🔧 terminal({ "command": "HERMES_HOME=/home/profe/.hermes /usr/local/lib/hermes-agent/venv/bin/hermes cron run 77be1b9e859d 2>&1", "timeout": 300 })

🔧 terminal({ "command": "hermes kanban show t_9b652846" })

🔧 terminal({ "command": "HERMES_HOME=/home/profe/.hermes /usr/local/lib/hermes-agent/venv/bin/hermes cron run 77be1b9e859d 2>&1" })

🔧 terminal({ "command": "HERMES_HOME=/home/profe/.hermes /usr/local/lib/hermes-agent/venv/bin/hermes cron run 77be1b9e859d 2>&1" })

🔧 terminal({ "command": "HERMES_HOME=/home/profe/.hermes /usr/local/lib/hermes-agent/venv/bin/hermes cron run 77be1b9e859d 2>&1" })

🔧 terminal({ "command": "HERMES_HOME=/home/profe/.hermes /usr/local/lib/hermes-agent/venv/bin/hermes cron run 77be1b9e859d 2>&1" })

🔧 terminal({ "command": "hermes kanban show t_9b652846" })