Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is highly actionable, with executable WRONG/CORRECT code and a clear, well-organized pitfall catalog. Its weak spots are token efficiency (a redundant summary table) and progressive disclosure (bundle files are orphaned/unused stubs never referenced from the body).
Suggestions
Remove or trim the Quick Reference table since it duplicates fixes already shown inline, or relocate it to a separate references file if a scannable summary is desired.
Link the existing bundle files from the body (e.g. 'See references/common-pitfalls.md for additional cases') and delete the empty errors.md/examples.md stubs that only say 'see above'.
Consider moving the 10 inline pitfalls into the references directory so SKILL.md stays a concise overview pointing one level deep to detailed material.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Pitfalls are tight with no over-explanation of concepts Claude knows, but the Quick Reference table restates every fix already shown inline, adding redundant tokens that could be tightened. | 2 / 3 |
Actionability | Most pitfalls give copy-paste-ready WRONG/CORRECT Python with specific field names and values; even the prose pitfalls (6, 9) supply concrete specifics like mutually-exclusive feature lists and the 5x credit multiplier. | 3 / 3 |
Workflow Clarity | As a well-organized reference catalog of numbered pitfalls with consistent symptom/cause/fix structure it is clear and unambiguous; Pitfall 4 even demonstrates an explicit timeout and failure-state validation loop. | 3 / 3 |
Progressive Disclosure | The body is well-sectioned but ~180 lines are inline, while the provided bundle files are never linked from the body and errors.md/examples.md are empty stubs that only say 'see above', so references are present but not signaled and content that could be split stays inline. | 2 / 3 |
Total | 10 / 12 Passed |