skill-trace-debugger
>-
Works with
--- name: skill-trace-debugger description: >- license: MIT --- # Skill Trace Debugger Surface trace and eval coverage gaps for repository skills before live behavioral runs. **Scope:** Static trace readiness checks only. Does not execute live evals or harvest session logs. ## Dispatch | $ARGUMENTS | Action | |------------|--------| | `<name>` | Trace readiness report for one skill | | `repo` / `--all` | Fleet trace readiness summary | | `--format json` | Machine-readable report | | Empty | Show trace signal checklist | ## Trace Readiness Checklist | Signal | Meaning | |--------|---------| | `evals/evals.json` | Behavioral cases exist for post-hoc grading | | `scripts/check.py` | Portable validator contract is wired | | explicit-invocation case | Eval includes a slash-command or named dispatch prompt | | NOT-for boundary | Description names the correct alternate skill | ## Workflow ```bash uv run python skills/skill-trace-debugger/scripts/trace_report.py <name> uv run python skills/skill-trace-debugger/scripts/trace_report.py --all --format json ``` Route live trace grading to agent-eval-runner or maintainer CI workflows. ## Validation Contract ```bash uv run python skills/skill-trace-debugger/scripts/check.py ``` ## Critical Rules 1. Never claim live trace capture from static reports alone. 2. Treat missing explicit-invocation eval cases as a coverage gap, not a hard failure for internal skills. 3. Do not mutate eval manifests without maintainer approval. 4. Pair trace reports with skill-eval-scaffolder when adding new cases. 5. Keep prompts grounded in each skill's dispatch table.
More Debugging skills
diagnosing-bugs
mattpocock/skills
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
explore-code
lllllllama/rigorpilot-skills
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
safe-debug
lllllllama/rigorpilot-skills
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 mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes clearly separated from research contributions. Do not use for broad refactoring, speculative adaptation, automatic exploratory patching, or general repository familiarization.

