Content
86%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, highly actionable skill: executable worked examples, exact expected status codes per category, a concrete output template, and a well-signaled one-level reference file holding the detailed per-pattern tables. Minor room to tighten the overview and close the workflow's fix-and-retry loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense with skill-specific material (category catalog with expected status codes, worked example, output template, anti-patterns, limitations) with no padded explanation of known concepts. Minor trimmable spots: the Overview framing paragraph and the worked example partially duplicating the output-format template. Not 3: nothing explains concepts Claude already knows. | 4 / 5 |
Actionability | The worked example is fully executable pytest — parametrize tables, fixtures, structured assertions like `expected_field in response.json().get('errors', {})` — and every category carries exact expected status codes (400/401/403/409/429), with a concrete output template. Copy-paste ready and covers the common cases. | 5 / 5 |
Workflow Clarity | The flow (happy-path test → generate per 7 categories → emit report → run tests → diagnose) is clear and "Any failure indicates a real gap - either the validator is missing the case OR the assertion is wrong" provides a validation checkpoint with diagnosis guidance. Not 5: there is no explicit fix-and-re-run feedback loop. Validation exists, so the batch-operation cap at 3 does not apply. | 4 / 5 |
Progressive Disclosure | The body stays a clear overview while the bulk per-pattern tables and the CWE/OWASP payload catalog are split into references/negative-path-catalog.md (verified to exist), linked once with a clear signal. One-level-deep, well-signaled reference with easy navigation. | 5 / 5 |
Total | 18 / 20 Passed |