القائمة
Run a bounded repository improvement loop using explicit fitness criteria, small reversible mutations, validation evidence, and human approval gates.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | evolution-loop |
| description | Run a bounded repository improvement loop using explicit fitness criteria, small reversible mutations, validation evidence, and human approval gates. |
Use this skill when the user wants FullSelfDriving to improve a repository, not just audit it.
Common criteria:
Create or improve AGENTS.md files so agents know the active product surface, architecture boundaries, validation commands, debug workflows, observability surfaces, isolation rules, and maintenance rules.
Discover and document a repository's run, health, logs, traces, screenshots, network capture, state reset, and artifact bundle surfaces for agent debugging.
Audit a repository for FullSelfDriving readiness: AGENTS.md quality, debug entry points, progressive discovery, observability, isolation, determinism, validation, safety, and evolutionary improvement readiness.
