Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A highly actionable, well-structured skill body with clear workflows and good progressive disclosure; the only weakness is token redundancy from restating the formula and some obvious filler.
Suggestions
State the ROI formula once in Step 2 and reference it from the Overview and Worked example instead of restating it three times.
Remove obvious filler such as 'Higher ROI = more value per cost.' that adds no information Claude doesn't already infer.
Trim the Step 4 mock output table (e.g., show 3-4 representative rows) or move the full template to a reference file to reduce inline bulk.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient, but the ROI formula is restated three times (Overview, Step 2, Worked example), obvious filler like 'Higher ROI = more value per cost' appears, and the Step 4 mock table runs long with a '(10 more)' placeholder. | 2 / 3 |
Actionability | Provides fully executable Python scoring code (Step 3), a concrete YAML budget file (Step 6), a copy-paste output template (Step 4), and a categorization table - all directly usable. | 3 / 3 |
Workflow Clarity | A clear 7-step sequence with an explicit validation checkpoint (Step 1a) and a feedback loop that warns when >50% of tests score 0.0, catching bad-input failures early. | 3 / 3 |
Progressive Disclosure | SKILL.md is a well-sectioned overview with anti-patterns/limitations split into a single one-level-deep, well-signaled reference file (verified to exist), giving easy navigation. | 3 / 3 |
Total | 11 / 12 Passed |