Content
93%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.
An expertly structured body: executable commands with real outputs, a sequenced multi-step workflow with exit-code checkpoints, and clean progressive disclosure to verified reference/asset/script files. Only minor gap is explicit per-step fix-retry loops.
Suggestions
Add a short 'If a script raises findings (exit 1): review the finding, correct the data or criteria, and re-run until exit 0' feedback-loop note to lift workflow_clarity to anchor 5.
Consider a one-line 'Prerequisites' note pointing to the Python 3.11 / standard-library-only constraint from the frontmatter so users hit it before the first command.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and domain-dense: it encodes exactly what Claude lacks (Q2(R2) restructuring, M10 modality splits, statistical traps) with no padding and no basic-concept explanations; every section earns its place. | 5 / 5 |
Actionability | Copy-paste-ready commands for every script (e.g. 'python3 check_response.py -i calibration.csv --max-back-calc-error 2') alongside real example outputs and exact input formats, covering the common cases. | 5 / 5 |
Workflow Clarity | A clearly sequenced 7-step workflow with validation via exit-code gating (0/1/2), pre-data criteria enforcement, and a closing 'What this skill exists to prevent' checklist; falls just short of anchor 5 because per-step fix-and-retry feedback loops are implied rather than spelled out. | 4 / 5 |
Progressive Disclosure | Well-signaled one-level-deep references: a References section maps six reference files (all verified present), an Assets section lists two templates, and a Scripts table indexes six scripts, with the SKILL.md body acting as a navigable overview. | 5 / 5 |
Total | 19 / 20 Passed |