Agent Self Improve

Analyzes agent performance and optimizes prompts, parameters, workflows, and strategies for continuous self-improvement.

This skill appears internally consistent and low-risk: review and run its tests locally (npm test) before using it in production, and avoid passing sensitive secrets into the analyze/improve callbacks (e.g., do not pass raw credentials or private data as test inputs). Note the package description mentions "code self-rewriting" but no such behavior exists in the provided files — if you plan to use an auto-updating or self-modifying variant in future, audit any file-write or network code carefully. If you want extra caution, run the skill in an isolated environment or sandbox when first integrating it with a live agent.

Type: OpenClaw Skill Name: yuyonghao-agent-self-improve Version: 0.1.0 The bundle provides a legitimate framework for performance profiling and strategy optimization of AI agents. It includes modules for measuring execution time, memory, and CPU usage (src/performance-analyzer.js) and tools for prompt and parameter tuning (src/strategy-optimizer.js). No evidence of data exfiltration, malicious execution, or unauthorized access was found, and the code aligns with the stated purpose in SKILL.md.