by tigerless-labs · Claude Skill · ★ 111
autoharness autoharness is a self-learning skill layer for Claude Code. It learns skills from your real sessions, merges same-scenario ones instead of stacking near-duplicates, updates them in use, and prunes any that stop getting used — so the layer stays clean on its own, touching only the skills it wrote itself. Same model, different harness — 42% → 78% on CORE-Bench (HAL). The harness does much of the work (swyx's Big Model vs Big Harness), yet it's still rebuilt by hand every model generation. autoharness bets one slice of it — the skill layer — can maintain itself. | Validated in use,
| Stars | 111 |
| Forks | 1 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 69.4947285752662/100 |
| Last Updated | 2026-07-07 |
| Created | 2026-06-09 |
| Platforms | claude-code, python |
| Est. Tokens | ~14k |
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autoharness is A self-learning skill layer for Claude Code — distills skills from your real sessions, updates them as you work, and prunes the ones that stop getting used. No daemon, no benchmark.. It is categorized as a Claude Skill with 111 GitHub stars.
autoharness is primarily written in Python. It covers topics such as agent-skills, claude-code, claude-code-plugin.
You can find installation instructions and usage details in the autoharness GitHub repository at github.com/tigerless-labs/autoharness. The project has 111 stars and 1 forks, indicating an active community.
autoharness is released under the MIT license, making it free to use and modify according to the license terms.