Skillreaper is an open-source skill lifecycle management and auditing tool for AI agent ecosystems, developed by thousandflowers. It analyzes agent session transcripts and execution histories to identify, evaluate, and prune unused, broken, or obsolete agent skills and plugins. Operating as a Go-based CLI utility (`reap`) and packaged with Claude plugin support, Skillreaper evaluates tool invocations across retention windows. It categorizes tools into explicit verdicts—such as REAP(unused), REAP(broken), REVIEW(rare), and REVIEW(needs-data)—by comparing recent session activity against durable execution history to prevent accidental pruning of infrequent but essential tools. Unlike execution-focused agent harnesses that only manage tool runtime dispatch, Skillreaper serves as a maintenance harness to keep agent context windows lean and toolsets healthy. It prevents context bloat and tool selection degradation by providing systematic hygiene over expanding agent capabilities. Skillreaper is open-source software distributed via GitHub under standard open-source terms.
Tags: agent harness, AI, ai agent, cli, developer tools, OpenSource