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Use when the user wants to check dataset quality, diagnose eval issues, or before running evolve. Checks size, difficulty distribution, dead examples, coverage, and splits. Auto-corrects issues found.

shell
$ npx -y skills add raphaelchristi/harness-evolver --skill health --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/health
How auto-invocation works

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use when the user wants to check dataset quality, diagnose eval issues, or before running evolve. Checks size, difficulty distribution, dead examples, coverage, and splits. Auto-corrects issues found.
Ships withharness-evolver

Point at any LLM agent codebase. Harness Evolver will autonomously improve it — prompts, routing, tools, architecture — using multi-agent evolution with LangSmith as the evaluation backend.

Get the whole plugin, auto-invoked
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Maintained
Maintenance
Python
Language
MIT
License
3mo ago
Last commit
4mo ago
Created

Repo: raphaelchristi/harness-evolver