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Agent Skill · 效率

daily-introspection(每日反省)

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。

daily-introspection 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 11,015。

总安装 4,823周安装 203GitHub Stars 1下载 1,689核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.3

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

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

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。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install daily-introspection;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

daily-introspection 怎么安装?

在终端执行 openclaw skills install daily-introspection。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

daily-introspection 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

daily-introspection 需要什么权限?

权限级别是只读。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。

daily-introspection 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

daily-introspection 用的人多吗?

公开数据是累计安装 4,823 次,近一周安装 203 次,下载 1,689 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

daily-introspection 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
daily-introspection

每日反省 · 本页

4,8231只读MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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)

平台分布

OpenClaw

96.05%
按下载量换算1,622

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

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

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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