Content
86%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is lean, highly actionable, and well-structured for a self-contained single-file skill, with only minor room to make MR-evidence validation checkpoints explicit.
Suggestions
Make the MR-evidence workflow's validation explicit by adding a checkpoint after the before/after benchmark (e.g. 'Verify throughput did not regress by >X% before proceeding to NCU profiling') to push workflow_clarity toward 5.
Tighten the NCU-availability preamble ('This repo intentionally does not vendor...') into a single line so the body leans closer to a 5 on conciseness.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient and assumes Claude's competence — no padded explanations of what Triton/CUDA are — with only minor over-explanation in the NCU-availability hedge ('This repo intentionally does not vendor ncu-report-skill...'). | 4 / 5 |
Actionability | Provides copy-paste-ready, fully executable commands (e.g. 'ncu --set full --section PmSampling... -o profile/<run_name>/reports/full_<tag> python -m benchmarks.ops.run --op chunk_kda --modes fwd') plus a concrete profile-artifact layout covering the common cases. | 5 / 5 |
Workflow Clarity | The 'Before opening an MR' section gives a clear numbered 4-step sequence with workload-coverage and conclusion/risk steps, but validation checkpoints are implicit rather than explicit validate→fix→retry loops, so it sits clearly above 3 but below 5. | 4 / 5 |
Progressive Disclosure | A single well-organized file under ~110 lines with clear section headers and no need for external references; per the rubric's simple-skill note, well-organized sections with no required external references score 5. | 5 / 5 |
Total | 18 / 20 Passed |