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daily-introspection每日反省

Agent Skill

daily-introspection 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:daily-introspection(每日反省)
来源仓库:https://github.com/raydoomed/daily-introspection
安装命令:
openclaw skills install daily-introspection
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install daily-introspection

简介

OpenClaw智能体自主进行每日自我反省与能力优化迭代。

  • 自动分析对话日志识别错误与改进点,沉淀最佳实践。
  • 有助于持续提升Agent表现与任务成功率。
  • 安装命令:openclaw skills install daily-introspection。
  • 使用前请确保日志保留周期足够长,以便完整回溯学习过程。

SKILL.md

name
daily-introspection
description
Autonomous daily self-introspection and self-improvement for OpenClaw agents. Automatically reviews daily conversation logs, identifies mistakes and improvement opportunities, and upgrades core rules automatically. Trigger for daily self-improvement tasks, weekly rule refinement, and autonomous agent evolution.

Daily Introspection

Overview

Enables autonomous self-improvement for OpenClaw agents: automatically reviews daily conversation logs, identifies mistakes, extracts actionable rules, promotes mature lessons to permanent system rules, and continuously evolves the agent's behavior without manual intervention.

Data Storage

TypeLocationDescription
Private runtime data + all archived recordsworkspace/.daily-introspection/Private hidden directory (auto-created):

- Temporary cache, run logs, intermediate analysis - Daily introspection records: introspection-YYYY-MM-DD.md - Weekly evolution reports: evolution-YYWW.md |

Core Workflow

1. Daily Run (triggered by cron at 22:00 daily)

  1. Run scripts/daily-introspect.py to collect all sources:

- Read today's conversation log: memory/YYYY-MM-DD.md - Read today's learning/error/feature records: .learnings/*.md - Check proactive mechanism files: SESSION-STATE.md, HEARTBEAT.md, working-buffer.md

  1. Call LLM to perform self-introspection:

- Identify incorrect answers, rule violations, and bad patterns - Extract concrete improvement suggestions - Classify as: one-time mistake / repeat pattern / new rule

  1. Write daily record to workspace/.daily-introspection/introspection-YYYY-MM-DD.md (private data directory)

2. Weekly Promotion (triggered by cron on Sunday 20:00)

  1. Aggregate all daily introspections from the week (read from workspace/.daily-introspection/)
  2. Identify repeated patterns and validated improvements
  3. First, perform all rule promotions immediately:

- Promote mature rules to target files: AGENTS.md / MEMORY.md / TOOLS.md - Verify each promotion by reading the file after writing to confirm successful写入 - Only after all promotions are verified complete, proceed to next step

  1. Generate a weekly evolution report (reflecting that promotions are already done)
  2. Send report to user for review
  3. Archive the report to workspace/.daily-introspection/ (private data directory)

Mandatory Order: Do promotions → Verify promotions → Generate report → Send report Never: Generate report → Do promotions (this causes missed writes when interrupted)

Scripts

scripts/daily-introspect.py

Main entry point for daily self-introspection.

Usage:

python3 scripts/daily-introspect.py [--date YYYY-MM-DD]

If no date specified, uses today.

scripts/weekly-promote.py

Weekly promotion of lessons to permanent system files.

Usage:

python3 scripts/weekly-promote.py [--week WWYY]

Configuration

OpenClaw Cron Setup

Add these two cron entries via OpenClaw CLI:

# Daily introspection at 22:00
openclaw cron add --name "Daily Self-Introspection" --cron "0 22 * * *" --exact --tz "Asia/Shanghai" --session main --system-event "daily-introspection: Daily self-introspection is triggered. Follow the daily-introspection skill process:
1. Run the script $OPENCLAW_WORKSPACE/skills/daily-introspection/scripts/daily-introspect.py to collect all sources
2. Read the collected sources from the script output
3. Perform LLM introspection analysis following these rules:
   - For errors in .learnings/ERRORS.md: if only recorded with corrective action, mark as '✅ Recorded, Rule Added'; only mark as '✅ Corrected' when verified no recurrence for >1 week
   - Do not automatically assume recorded = corrected; reflect actual status accurately
   - Identify any new errors from today's activities, add them to .learnings/ERRORS.md with corrective rules
   - Write the final introspection result to ~/.openclaw/workspace/.daily-introspection/introspection-YYYY-MM-DD.md
4. Report completion status in this session when done"

# Weekly promotion at 20:00 every Sunday
openclaw cron add --name "Weekly Introspection Promotion" --cron "0 20 * * 0" --exact --tz "Asia/Shanghai" --session main --system-event "daily-introspection: Weekly promotion is triggered. Follow the weekly-promotion process:
1. Execute scripts/weekly-promote.py to collect all daily introspections from this week
2. Identify repeated patterns that have not recurred for >1 week
3. **MANDATORY EXECUTION ORDER**:
   - FIRST: Perform all rule promotions one by one → write each mature rule to its target file (AGENTS.md/MEMORY.md/TOOLS.md)
   - AFTER each write: Read the target file back to verify the rule is actually written successfully
   - ONLY after ALL promotions are done and verified: Write the weekly evolution report to ~/.openclaw/workspace/.daily-introspection/evolution-YYWW.md
   - Never reverse this order - do not write the report before promotions are complete
4. Report completion status in this session when done
Rules:
- Only promote rules that have been verified and no recurrence for 1+ week
- Keep new recorded errors/learnings in .learnings/ for further verification
- Do not promote immature rules prematurely

Configuration Notes

  • Daily schedule: 22:00 daily (adjust timezone as needed)
  • Weekly schedule: 20:00 every Sunday
  • Target: main session for interactive analysis and writing
  • Timezone: Use your IANA timezone (e.g. Asia/Shanghai, UTC, America/New_York)

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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