safe-debug
作者: lllllllama
用于深度学习研究工作的严格调试/严格审计技能。当用户粘贴回溯信息、终端错误、CUDA内存不足、检查点加载失败、形状不匹配、NaN损失症状或训练失败,并希望在打补丁前进行保守诊断,且调试修复与研究贡献明确分离时使用。不适用于大规模重构、推测性适配、自动探索性修补或常规仓库熟悉。
npx skills add https://github.com/lllllllama/rigorpilot-skills --skill safe-debugsafe-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.mddebug_outputs/PATCH_PLAN.mddebug_outputs/status.json
Notes
Use references/debug-policy.md, ../../references/research-rigor-principles.md, and the shared ../../references/research-pitfall-checklist.md.