Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with executable commands and a well-sequenced, validated A/B workflow, but it carries some explanatory prose that could be trimmed and is entirely inline with no progressive-disclosure structure.
Suggestions
Tighten the narrative in section 1 and the statistical reasoning in section 4 to data + rule, dropping restatements of why the noise floor matters.
Consider extracting the full command catalog in section 6 into a reference file so SKILL.md stays an overview, lifting progressive_disclosure toward 3.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and packed with specific values, but sections like the non-determinism narrative and statistical reasoning in section 4 include explanatory prose that could be tightened, rather than the lean every-token-earns-its-place form of a 3. | 2 / 3 |
Actionability | Provides fully executable, copy-paste-ready bash commands with concrete flags (--trials 5, --concurrency 4, --compare-baseline) plus specific practical cutoffs (0.05 score delta, 0.05 pass-rate delta), matching the copy-paste-ready anchor. | 3 / 3 |
Workflow Clarity | Section 3 gives a clearly numbered A/B sequence (run baseline, save path, change, run candidate, read verdicts) with explicit validation/reading checkpoints (CI excludes 0 and effect >= 0.05) and a checklist in section 7, matching the clear-sequence-with-validation anchor. | 3 / 3 |
Progressive Disclosure | Well-organized into 10 numbered sections with a quick-reference, but it is a single self-contained ~200-line file with no progressive splitting or references to separate detail files; the comprehensive content stays inline rather than being an overview pointing to deeper materials. | 2 / 3 |
Total | 10 / 12 Passed |