Evidence-based pruning for your AI-agent stack — scan, report, and safely prune unused skills/MCP servers/agents usin...
Copy the install, test the workflow, then decide if it earns a permanent slot.
The signal is softer here. Treat it like a pattern source unless it solves a very specific gap.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health unknown. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
Multiple
Model
Claude
Fastest way to find out if skillreaper belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add skillreaper -- npx skillreaperRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove skillreaperNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ skillreaper ← registers here
Evidence-based pruning for your AI-agent stack — scan, report, and safely prune unused skills/MCP servers/agents using real transcript evidence