Skill Insight

Understand what your AI agent's skills are actually being used for — with usage reports, success/failure tracking, and unused-skill recommendations. Part of...

This skill is a local analyzer/reporting tool; it will create and update data files (data/usage.json and data/skill_registry.json) in the skill directory (by default ~/.openclaw/workspace/skills/skill-insight/data). If you enable automatic scanning (cron or run scan_sessions.py) it will read recent OpenClaw session history via the local gateway API or the openclaw CLI to detect skill mentions. It does not transmit data off your machine and it does not require API keys, but it will read session messages in-memory and record auto-detection metadata (session identifiers, timestamps, and detection notes) into usage.json. Before installing or enabling the cron job: review and confirm the data directory location (use SKILL_USAGE_TRACKER_DIR to override), inspect the cron entry, and verify your OpenClaw gateway is bound to localhost (not exposed externally). If you prefer manual control, use the record.sh/record.py commands instead of enabling the cron/scanner. If you want extra assurance, run the scripts manually once to inspect the files they create and the exact contents written to usage.json and skill_registry.json.

Type: OpenClaw Skill Name: skill-insight Version: 1.0.8 The skill bundle is a utility designed to track and analyze the usage frequency and success rates of an AI agent's skills. It operates by maintaining local JSON databases (`usage.json`, `skill_registry.json`) and includes a session scanner (`scan_sessions.py`) that interacts with the local OpenClaw gateway (localhost:18789) or CLI to identify skill invocations. No evidence of data exfiltration, external network calls, or malicious prompt injection was found; the instructions in SKILL.md appropriately guide the agent to log its own activity for reporting purposes.