OpenAgentSkill Registry Manifest
Skill: alpha-evolve
Slug: gaasher-alpha-evolve
Category: research
Description: Use when the user wants to evolve an ML model/program through population-based search rather than a single sequential refine loop — a generational evolution where parallel proposers each apply one small SEARCH/REPLACE diff to a parent, scored by a cascade-evaluated training run, and children are kept in a MAP-Elites archive across islands (with migration + checkpointing) so diverse high performers survive. A finite, bounded-parallelism re-creation of AlphaEvolve/OpenEvolve, bent for ML autoresearch. Runs to a fixed compute budget or until interrupted. Not for the sequential single-thread autoresearch loops (one change → measure → keep/revert), and not for verifying a known bug or external claim — this is parallel, diversity-preserving search over a program.

Agent fit:
- Decision: 62/100 Prototype first
- Primary fit: Research agents
- Role: Fallback candidate

Supply profile:
- Track: Research and knowledge work
- Scenario: Research agents
- Applicable agents: Claude Code, CLI, Codex, Cursor
- Maintenance: 2mo since push
- Risk: Needs review

Trust:
- Trust score: 77/100 Strong shortlist
- Audit: 77/100 Needs review

Attribution:
- Status: Registry indexed
- Source: github fast track
- Creator: gaasher
- Claim URL: https://www.openagentskill.com/skills/gaasher-alpha-evolve#claim-this-skill

Install:
npx skills add gaasher/Agent-Loop-Skills --skill alpha-evolve

URLs:
- Web: https://www.openagentskill.com/skills/gaasher-alpha-evolve
- API: https://www.openagentskill.com/api/agent/skills/gaasher-alpha-evolve
- Install API: https://www.openagentskill.com/api/skills/gaasher-alpha-evolve/install
- Repository: https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/alpha-evolve