by drivelineresearch · Claude Skill · ★ 204
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autoresearch-claude-code Autonomous experiment loop for Claude Code. Give it a goal, a benchmark, and files to modify — it loops forever: try ideas, measure results, keep winners, discard losers. Port of pi-autoresearch as a pure skill — no MCP server, just instructions the agent follows with its built-in tools. Install Option A: Let Claude do it (easiest) Claude will read the repo, run , and configure everything. Option B: Plugin flag Option C: Manual symlinks To remove: Quick Start /autoresea
| Stars | 204 |
| Forks | 20 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 69.5484855334041/100 |
| Last Updated | 2026-03-24 |
| Created | 2026-03-12 |
| Platforms | claude-code, python |
| Est. Tokens | ~120k |
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autoresearch-claude-code is Autonomous experiment loop skill for Claude Code — port of pi-autoresearch. It is categorized as a Claude Skill with 204 GitHub stars.
autoresearch-claude-code is primarily written in Python.
You can find installation instructions and usage details in the autoresearch-claude-code GitHub repository at github.com/drivelineresearch/autoresearch-claude-code. The project has 204 stars and 20 forks, indicating an active community.
autoresearch-claude-code is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to autoresearch-claude-code on Agent Skills Hub include claude-codex-settings, life-sciences, claude-ai-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.