safe-debug

Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape…

INSTALLATION
npx skills add https://github.com/lllllllama/rigorpilot-skills --skill safe-debug
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

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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