@pskoett

Self-Improving Agent

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...

当前版本
v3.0.21
3,706 45万总安装 6,656

README.md

text/markdown · 378 字节

SKILL.md

text/markdown · 20674 字节

assets/FEATURE_REQUESTS.md

text/markdown · 84 字节

assets/ERRORS.md

text/markdown · 75 字节

assets/SKILL-TEMPLATE.md

text/markdown · 3407 字节

assets/LEARNINGS.md

text/markdown · 1152 字节

scripts/activator.sh

text/x-sh · 680 字节

scripts/extract-skill.sh

text/x-sh · 5293 字节

scripts/error-detector.sh

text/x-sh · 1317 字节

hooks/openclaw/handler.js

text/javascript · 3357 字节

hooks/openclaw/HOOK.md

text/markdown · 589 字节

hooks/openclaw/handler.ts

application/typescript · 3438 字节

references/examples.md

text/markdown · 8290 字节

references/openclaw-integration.md

text/markdown · 6061 字节

references/hooks-setup.md

text/markdown · 5141 字节

skill-card.md

text/markdown · 2456 字节

Security Scan

OpenClaw

gpt-5.5

clean

OpenClaw 分析

This skill persistently records local learning notes and optional reminders, but the behavior is disclosed, purpose-aligned, and not exfiltrating or destructive.

置信度: high

VirusTotal

Type: OpenClaw Skill Name: self-improving-agent Version: 3.0.21 The skill bundle implements a structured 'self-improvement' framework for OpenClaw agents, allowing them to log errors, corrections, and feature requests to local markdown files. It includes utility scripts (e.g., `extract-skill.sh`, `error-detector.sh`) and OpenClaw hooks (`handler.js`) designed to automate the capture of learnings and provide contextual reminders to the agent. While the skill facilitates the modification of agent instruction files like `SOUL.md` and `AGENTS.md`, it includes explicit safety guidelines advising the agent not to log secrets, tokens, or sensitive environment variables. The scripts utilize standard shell commands and include basic security checks, such as path traversal prevention, aligning entirely with the stated purpose of continuous workflow optimization.

元数据

  • 作者: @pskoett
  • 创建时间: 2026/01/05
  • 更新时间: 2026/05/11
  • 版本数: 31
  • 评论数: 53
  • 上一版本: v3.0.16
  • 扫描时间: 2026/05/27

运行要求

官方公开数据里暂未列出运行要求。

Self-Improving Agent | ClawHub 中文站