{"slug":"tigerless-labs-autoharness","name":"Autoharness","description":"A self-learning skill layer for Claude Code that automatically distills, merges, updates, and prunes skills from real sessions.","long_description":"

autoharness

\n\n

\n \"release\"\n \"python\"\n \"platform\"\n \"license\n

\n\n**autoharness is a self-learning skill layer for Claude Code.** It **learns** skills from your real\nsessions, **merges** same-scenario ones instead of stacking near-duplicates, **updates** them in use,\nand **prunes** any that stop getting used — so the layer **stays clean on its own**, **touching only\nthe skills it wrote itself**.\n\nSame model, different harness — 42% → 78% on CORE-Bench ([HAL](https://arxiv.org/abs/2510.11977)).\nThe harness does much of the work (swyx's **Big Model vs Big Harness**), yet it's still rebuilt by\nhand every model generation. autoharness bets one slice of it — the skill layer — can maintain itself.\n\n| | |\n|---|---|\n| **Learns from real work** | Each episode is distilled into a skill from the session you were already having — no separate data-collection or replay loop. |\n| **Groups, doesn't just pile up** | A new episode doesn't always add a skill — the reflector compares it against what's there and folds same-scenario skills into one, so the layer consolidates by category instead of accreting near-duplicates. |\n| **Validated in use, not on a benchmark** | A skill survives by being adhered to in later turns (invocation rate), not a held-out score. No oracle on the active path, and no tokens spent on a dedicated eval. |\n| **Only its own skills** | Touches only the skills it generated through this plugin — everything else, whether you wrote it or installed it, is left completely alone. |\n| **Evidence kept for later** | Every create/update logs its scenario and decision to a per-skill ledger — the raw material to build a benc","tagline":"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. 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