Skill Usage Analyzer

Analyze any OpenClaw skill and generate a comprehensive usage guide. Extracts examples, best practices, configuration options, and common pitfalls from SKILL...

This package appears to do what it says: parse SKILL.md files and generate reports. Before installing: 1) Inspect install.sh and the scripts (they're included) — the installer will copy files into ~/.openclaw/workspace/skills and can overwrite an existing directory. 2) Run the analyzer on a single SKILL.md first (python3 scripts/analyze_skill.py /path/to/SKILL.md) rather than installing system-wide to verify behavior. 3) If you care about isolation, run it in a sandbox or throwaway user account since it reads all SKILL.md files under your OpenClaw skills dir. 4) Confirm there are no unexpected network calls in any remaining truncated files before trusting automated or scheduled runs. Overall this is coherent and low-risk, but review before granting write access to your skills directory.

Type: OpenClaw Skill Name: skill-usage-analyzer Version: 1.0.0 The skill bundle is a legitimate utility designed to help users analyze, document, and discover OpenClaw skills. It contains several Python scripts (e.g., `analyze_skill.py`, `analyze_all.py`, `recommend_skill.py`) that parse local SKILL.md files to generate summaries, comparison matrices, and usage recommendations. The code relies exclusively on Python standard libraries, performs no network operations, and does not access sensitive system files or environment variables. The installation and testing scripts (`install.sh`, `test_install.sh`) follow standard practices without any signs of malicious intent or obfuscation.