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v0.19.3 — self-evolution flywheel hardening

Esta es la nota de release tal como fue publicada, no una reescritura de ella. Las notas de release se publican en el idioma en que fueron escritas.

A twelfth adversarial review, of the self-evolution internals (the project's differentiator). The statistical core — the honest-benchmark gates (McNemar/Wilson/Newcombe CIs, transfer-gate, diff-gate, rollback trigger, GEPA Pareto) — reviewed clean. The six fixes are in the skill-store persistence and lifecycle plumbing around it.

Fixed

  • The learned-skill store is now crash-safe. SkillStore wrote skills.json with a plain truncating write on every record_use (the flywheel's highest-frequency write) — a crash mid-write left it unloadable, losing the whole learned-skill library. It now writes atomically (temp + os.replace) and skips a single malformed entry (or a corrupt file) on load instead of aborting.
  • A regressed skill can now actually be demoted. Promotion carried the lifetime win-rate forward, so an active skill that started strong then broke needed ~8 straight failures to cross the retire threshold; promote now resets the probation counters so demotion tracks recent behavior.
  • Deterministic skill retrieval — FTS ranking tie-breaks on name, so which card lands in the top-k (and gets credited a use/success) can't flip between runs on equal BM25 rank.
  • No leaked SQLite connection per retrieval (the in-memory card index is now a closing context manager), and a resumed HITL-approved run no longer credits skill cards it didn't actually use.

Gate: 1452 passed / 3 skipped, mypy + ruff green.

Upgrade: `pip install --upgrade 'chimera-agent[full]'`

Leer la release en GitHub