safe-debug

Keterampilan Rigor Debug / Rigor Audit untuk pekerjaan riset pembelajaran mendalam. Gunakan ketika pengguna menempelkan traceback, error terminal, CUDA OOM, kegagalan muat checkpoint, ketidakcocokan bentuk, gejala kehilangan NaN, atau kegagalan pelatihan dan menginginkan diagnosis konservatif sebelum melakukan penambalan apa pun, dengan perbaikan debug yang dipisahkan secara jelas dari kontribusi riset. Jangan gunakan untuk refaktorisasi luas, adaptasi spekulatif, penambalan eksploratif otomatis, atau pengenalan repositori umum.

npx skills add https://github.com/lllllllama/rigorpilot-skills --skill safe-debug

safe-debug

Use this as the Rigor Debug / Rigor Audit skill. The installed slug remains safe-debug for compatibility.

Use the shared operating principles in ../../references/agent-operating-principles.md; this skill should guide conservative diagnosis without blocking the model from finding the local root cause.

When to apply

  • The user provides a traceback, terminal error, or concrete training or inference failure symptom.
  • The user wants diagnosis, root-cause narrowing, and minimal patch suggestions before code is changed.
  • The user wants a safe debug flow with explicit human approval before mutation.

When not to apply

  • When the user wants a broad repository walkthrough without an active failure.
  • When the task is speculative experimentation or code adaptation.
  • When the user is asking for a large refactor or readability rewrite.

Clear boundaries

  • Diagnose first.
  • Do not modify repository code by default.
  • If a patch is needed, propose the smallest fix and require explicit approval first.
  • Escalate savepoint or branch creation before medium-risk or high-risk changes.
  • A debug fix is not automatically a research contribution; if it changes experiment meaning or comparability, say so explicitly.

Output expectations

  • debug_outputs/DIAGNOSIS.md
  • debug_outputs/PATCH_PLAN.md
  • debug_outputs/status.json

Notes

Use references/debug-policy.md, ../../references/research-rigor-principles.md, and the shared references/research-pitfall-checklist.md.

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