Content
81%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.
A well-structured, actionable recipe with an explicit bounded feedback loop and strong validation checkpoints. Main improvement is de-duplicating the placeholder rule and considering whether the code shape belongs in a reference file.
Suggestions
State the placeholder-acceptance rule once (e.g. in Review Discipline) and reference it from the Process and code sections instead of repeating it three times.
Consider moving the full Python workflow shape to a references/ file and keeping a concise outline inline, so SKILL.md reads as an overview.
Tighten the Compilation Rules by merging overlapping items (e.g. the structured-output and 'read the structured object' points) to reduce token cost.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and free of basic-concept padding, but the placeholder-acceptance rule is restated in Process step 4, the code instruction, and Review Discipline, which could be consolidated. | 4 / 5 |
Actionability | Provides a concrete, mostly-executable Python workflow shape plus explicit numbered steps, though it is explicitly a template to adapt rather than literal copy-paste code. | 4 / 5 |
Workflow Clarity | A clearly sequenced nine-step loop with explicit validation (structured approved/feedback schema), an error-recovery feedback loop, and a hard three-review bound with stop conditions. | 5 / 5 |
Progressive Disclosure | No bundle files exist; the single self-contained SKILL.md is well-sectioned (Process, workflow shape, Review Discipline, Compilation Rules), though it is one monolithic file rather than a pointed overview with references. | 4 / 5 |
Total | 17 / 20 Passed |