safe-debug

作者: lllllllama

針對深度學習研究工作的嚴謹除錯/嚴謹審查技能。當使用者貼出追蹤回溯、終端錯誤、CUDA記憶體不足、檢查點載入失敗、形狀不匹配、NaN損失症狀或訓練失敗,並希望在進行任何修補前獲得保守診斷,且除錯修復與研究貢獻明確區分時使用。請勿用於大規模重構、推測性改編、自動探索性修補或一般性倉庫熟悉。

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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