Dogfood the contribution loop once, end-to-end (produce or correctly reject the first field improvement)

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#69 3 comentarios 0 reacciones 0 asignados Ver en GitHub

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Evaluación

Dificultad
5/5
Tiempo estimado
Más de una semana
Aptitud para principiantes
22/100
Tipo de issue
Nueva funcionalidad
Claridad
Bien especificado
Estado de actividad
Tranquilo
Stack tecnológico
python

Línea de trabajo

Start with .claude/skills/contribution/ and docs/roadmap.md Loop 2, then run the contribution flow from an external project that uses the suite. Follow the stated gates through the provenance-and-risk block; done means a human-opened PR or a recorded correct rejection with a local imprint, with the privacy gate and CONTRIBUTING list passing and no autonomous push.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

enhancement

The 'skillset improves from field use' loop (contribution 1.1.0, hardened via #26) is fully built but has never been RUN.

Where: .claude/skills/contribution/ exercised from a real external project that uses the suite; proves docs/roadmap.md Loop 2.
Done when: one field lesson goes through the full flow — detect + generality gate -> generalize/strip -> draft (skill edit + CHANGELOG + eval + routing) -> mechanical scrub -> route through deep-code-review + idea-critic -> CONTRIBUTING gate list green -> provenance-and-risk block -> hand to a human. Outcome is a human-opened PR OR a recorded 'correctly rejected -> imprint locally'.
Verify: a completed provenance-and-risk block whose SOURCE names an external project (a lesson from this repo has no private->public crossing, so it never exercises the real safety property); the drafted change passes the privacy gate + full CONTRIBUTING list; no autonomous push occurred.
Why: the second promised loop has passing fixtures but has never produced a real safe improvement. Dogfooding once earns trust before adopters rely on it. Bounded + reversible: everything before the human send is reversible; the human is the privacy authority and only pusher.

Lenguaje dominante
Python
Estrellas
2
Forks
1
Merge medio
1 h 27 min
PR fusionados (30 d)
561

Preparar el entorno

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

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