Agent skill · ruvnet/ruflo
harness-learn
Run a GEPA learning cycle via `metaharness learn` (upstream ADR-235, metaharness@0.3.0) — optimizes a harness genome against a SWE-bench-style slice manifest. $0 dry-run by default; `--run` is the explicit spend opt-in. Requires a metaharness repo checkout (`--repo` or $METAHARNESS_REPO) — without one it reports `checkout-required` with clone instructions. Degrades gracefully when metaharness is absent.
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npx degit ruvnet/ruflo/plugins/ruflo-metaharness/skills/harness-learn ~/.claude/skills/harness-learnStar growth
#swarm#agentic-ai#agentic-framework#agentic-workflow#autonomous-agents#codex#mcp-server#multi-agent#ai-assistant#multi-agent-systems
- Created
- 2025-06-02
- Last commit
- 2026-10-17
- First seen
- 2026-10-18
- File
- plugins/ruflo-metaharness/skills/harness-learn/SKILL.md
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Updated Sun, 18 Oct 2026 15:32:30 GMT · description from the project itself