@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...

Current version
v3.0.21
3,706 45万All installs 6,656

README.md

text/markdown · 378 bytes

SKILL.md

text/markdown · 20674 bytes

assets/FEATURE_REQUESTS.md

text/markdown · 84 bytes

assets/ERRORS.md

text/markdown · 75 bytes

assets/SKILL-TEMPLATE.md

text/markdown · 3407 bytes

assets/LEARNINGS.md

text/markdown · 1152 bytes

scripts/activator.sh

text/x-sh · 680 bytes

scripts/extract-skill.sh

text/x-sh · 5293 bytes

scripts/error-detector.sh

text/x-sh · 1317 bytes

hooks/openclaw/handler.js

text/javascript · 3357 bytes

hooks/openclaw/HOOK.md

text/markdown · 589 bytes

hooks/openclaw/handler.ts

application/typescript · 3438 bytes

references/examples.md

text/markdown · 8290 bytes

references/openclaw-integration.md

text/markdown · 6061 bytes

references/hooks-setup.md

text/markdown · 5141 bytes

skill-card.md

text/markdown · 2456 bytes

Security Scan

Status

clean

Open VirusTotal

OpenClaw

gpt-5.5

clean

OpenClaw analysis

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

Confidence: 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.

Metadata

  • Owner: @pskoett
  • Created: 2026/01/05
  • Updated: 2026/05/11
  • Versions: 31
  • Comments: 53
  • Previous version: v3.0.16
  • Scan checked at: 2026/05/27

Runtime

No runtime requirements are exposed in the official public payload.

Self-Improving Agent | ClawHub CN