Scribe

Scribe | OpenClaw Skill

Comprehensive note-taking system that scans multiple OpenClaw data sources to generate daily and weekly notes with summaries.

Description

Scribe automatically scans and analyzes: OpenClaw logs - Errors, warnings, gateway events, subagent activity Config files - Model preferences, gateway settings, agent configurations Chat history - Cursor IDE chat messages from SQLite databases Cursor history - Workspace-specific conversation history Memory files - Daily notes and long-term memory (MEMORY.md) Behavior files - BEHAVIOR.md, DESIRES.md, TASTES.md, PREFERENCES.md Drafts - Blog posts, tweets, and other draft files Generates structured markdown notes with summaries at the top of each file.

Installation

clawhub install scribe Or clone into your skills directory: git clone https://github.com/Org/scribe.git workspace/skills/scribe

Daily Notes

Generate a daily note covering the last 24 hours: python3 workspace/skills/scribe/scripts/scribe.py --mode daily

Weekly Notes

Generate a weekly note covering the last 7 days: python3 workspace/skills/scribe/scripts/scribe.py --mode weekly

Both Daily and Weekly

Generate both notes at once: python3 workspace/skills/scribe/scripts/scribe.py --mode both

JSON Output

Get results in JSON format: python3 workspace/skills/scribe/scripts/scribe.py --mode daily --json

Examples

Example 1: Daily Note Generation Scenario: You want a daily summary of OpenClaw activity. Action: Run python3 workspace/skills/scribe/scripts/scribe.py --mode daily. Outcome: A markdown file workspace/Notes/daily/YYYY-MM-DD.md with a summary at the top, followed by detailed sections for logs, chat history, memory, drafts, behavior, and config. Example 2: Weekly Summary Scenario: You want a weekly overview of patterns and trends. Action: Run python3 workspace/skills/scribe/scripts/scribe.py --mode weekly. Outcome: A markdown file workspace/Notes/weekly/YYYY-MM-DD.md with weekly statistics, trends, and activity summaries. Example 3: Cron Job Integration Scenario: Automate daily note generation. Action: Add a cron job that runs scribe.py --mode daily every day at midnight. Outcome: Daily notes are automatically generated and saved to workspace/Notes/daily/.

Commands

python3 workspace/skills/scribe/scripts/scribe.py --mode daily # Generate daily note python3 workspace/skills/scribe/scripts/scribe.py --mode weekly # Generate weekly note python3 workspace/skills/scribe/scripts/scribe.py --mode both # Generate both python3 workspace/skills/scribe/scripts/scribe.py --mode daily --json # JSON output python3 workspace/skills/scribe/scripts/scribe.py --openclaw-home /path/to/openclaw # Custom home directory --mode — Choose daily, weekly, or both (default: daily) --json — Output results in JSON format instead of markdown files --openclaw-home — Specify OpenClaw home directory (default: ~/.openclaw)

What this skill does

Scans logs - Analyzes all .log files in logs/ directory for errors, warnings, gateway events, and subagent spawns Reads config - Extracts model preferences, gateway settings, and agent configurations from openclaw.json Extracts chat history - Queries Cursor's SQLite databases (state.vscdb) for recent chat messages Scans memory files - Reads daily notes (memory/YYYY-MM-DD.md) and long-term memory (MEMORY.md) Finds drafts - Searches for draft files matching patterns like *draft*.txt, *draft*.md, blog/**/*.md, tweet*.txt Reads behavior files - Looks for BEHAVIOR.md, DESIRES.md, TASTES.md, PREFERENCES.md Generates notes - Creates structured markdown files with summaries at the top Saves to Notes - Writes daily notes to workspace/Notes/daily/YYYY-MM-DD.md and weekly notes to workspace/Notes/weekly/YYYY-MM-DD.md

Daily Note Structure

• # Daily Summary - YYYY-MM-DD HH:MM:SS
• **Logs**: X errors, Y warnings
• **Gateway Events**: Z events
• **Subagent Activity**: N spawns
• **Chat Messages**: M messages
• **Daily Notes**: K files
• **Drafts**: L draft files
• **Config**: Loaded successfully
• ---
• # Daily Note
• ## Logs
• ### Errors (X)
• [error details]
• ### Warnings (Y)
• [warning details]
• ## Chat History
• Found M messages in the last 24 hours.
• ### User (X messages)
• [message previews]
• ## Memory Files
• ### Daily Notes (K)
• **YYYY-MM-DD**: [content preview]
• ## Drafts
• ### [draft path]
• Size: X bytes
• Modified: [timestamp]
• Preview: [content preview]
• ## Behavior & Preferences
• ### Behavior Files
• **BEHAVIOR.md**: [content preview]
• ## Configuration
• ### Model Preferences
• Default: [model]
• Aliases: X configured

Weekly Note Structure

• # Weekly Summary - YYYY-MM-DD HH:MM:SS
• [Summary statistics]
• ---
• # Weekly Note - YYYY-MM-DD to YYYY-MM-DD
• ## Weekly Summary
• **Total Errors**: X
• **Total Warnings**: Y
• **Gateway Events**: Z
• **Subagent Spawns**: N
• ## Chat Activity (M messages)
• **User**: X messages
• **Assistant**: Y messages
• ## Memory Activity (K daily notes)
• **YYYY-MM-DD**: X bytes
• ## Drafts (L files)
• **[path]**: X bytes (modified: [timestamp])
• ## Trends & Patterns
• ⚠️ **Error Rate**: X errors this week
• 🤖 **Subagent Activity**: N spawns this week
• 💬 **Chat Activity**: M messages this week

Requirements

Python 3.7+ OpenClaw installation with ~/.openclaw directory structure Cursor IDE installed (for chat history scanning) SQLite3 available (usually pre-installed on macOS) Write access to workspace/Notes/ directory

Integration as a Cron Job

Example Cron Job Configuration: { "payload": { "kind": "agentTurn", "message": "Run scribe.py --mode daily to generate daily notes.", "model": "openrouter/google/gemini-2.5-flash", "thinking": "low", "timeoutSeconds": 300 }, "schedule": { "kind": "cron", "cron": "0 0 * * *" }, "delivery": { "mode": "announce" }, "sessionTarget": "isolated", "name": "Daily Scribe Note" } Or run directly via shell script: # Add to crontab (crontab -e) # Run daily at midnight 0 0 * * * /Users/ghost/.openclaw/workspace/skills/scribe/scripts/scribe.py --mode daily >> /Users/ghost/.openclaw/logs/scribe.log 2>&1

Security & Privacy

File access: Reads openclaw.json (config only, no secrets), logs/*.log, memory/*.md, and Cursor SQLite databases No data exfiltration: All data stays local; notes are saved to workspace/Notes/ directory Safe execution: Uses read-only access to config and logs; only writes to workspace/Notes/daily/ and workspace/Notes/weekly/ directories

Limitations

Chat history extraction depends on Cursor's database schema (may need updates if Cursor changes storage format) Draft file detection uses pattern matching; may miss files with non-standard naming Behavior file detection looks for common filenames; custom locations may not be found Large log files may take time to process