by thousandflowers · MCP Server · ★ 30
Evidence-based pruning for your AI-agent stack — scan, report, and safely prune unused skills/MCP servers/agents using real transcript evidence
| Stars | 30 |
| Forks | 2 |
| Language | Go |
| Category | MCP Server |
| License | MIT |
| Quality Score | 53.7530103453298/100 |
| Open Issues | 3 |
| Last Updated | 2026-06-26 |
| Created | 2026-06-10 |
| Platforms | claude-code, cli, codex, go, mcp |
| Est. Tokens | ~15k |
These tools work well together with skillreaper for enhanced workflows:
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skillreaper is Evidence-based pruning for your AI-agent stack — scan, report, and safely prune unused skills/MCP servers/agents using real transcript evidence. It is categorized as a MCP Server with 30 GitHub stars.
skillreaper is primarily written in Go. It covers topics such as ai-agents, anthropic, claude-code.
You can find installation instructions and usage details in the skillreaper GitHub repository at github.com/thousandflowers/skillreaper. The project has 30 stars and 2 forks, indicating an active community.
skillreaper is released under the MIT license, making it free to use and modify according to the license terms.