OpenAgentSkill Registry Manifest
Skill: ml-autoresearch
Slug: gaasher-ml-autoresearch
Category: research
Description: Use when the user wants an autonomous ML research loop that does more than blindly try changes. After every training run the agent analyses what actually happened inside the model — gradients, activations, embeddings, errors, data — and grounds the next change in that evidence. A `<literature>` on/off dial adds scientific-literature grounding: off behaves as a pure analysis-first loop; on searches papers, grades the evidence, and implements only what prior work supports. One change per run; loops forever until interrupted. Not for one-off training runs or hyperparameter sweeps.

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: 73/100 Strong shortlist
- Audit: 75/100 Needs review

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

Install:
npx skills add gaasher/Agent-Loop-Skills --skill ml-autoresearch

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