Self Audit

Track, analyze, and score your tool calls to identify unnecessary usage, detect patterns, and get recommendations for efficiency improvements.

This package appears to be an instruction-only spec for a CLI tool but does not include the CLI or an install method. Before using or trusting it: 1) Ask the publisher for the actual `self-audit` binary/source and verify its provenance (repository, releases). 2) Confirm how it is supposed to collect tool-call telemetry (manual logging vs automatic hooking into the agent/runtime). 3) If you obtain the binary, review its source or run it in a sandbox to ensure it only writes local logs and does not transmit data externally. 4) Do not provide credentials or add it to automated agent workflows until you can verify the missing artifacts and confirm where audit logs are stored and whether any network endpoints are contacted.

Type: OpenClaw Skill Name: self-audit Version: 1.0.0 The skill bundle provides documentation and configuration for a 'Self-Audit' tool designed to help an AI agent track and analyze its own tool usage for efficiency. The provided files (SKILL.md, config.json, and _meta.json) describe standard observability features such as logging tool calls, identifying reflexive patterns, and generating efficiency scores. There is no evidence of malicious code, data exfiltration, or prompt injection in the analyzed content.