Content
75%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 skill body with clear sequencing and useful domain-specific analysis frameworks. Main gaps are the bare API call format (no curl/auth) and the absence of explicit error-recovery feedback loops.
Suggestions
Show API calls as complete curl commands (or equivalent) with auth headers and a base URL, so the guidance is copy-paste executable rather than just endpoint paths.
Add an explicit error-handling loop for the fetch step (e.g., what to do on 401/429/empty response) to strengthen the workflow's feedback checkpoints.
Consider moving the full output-format template and benchmark tables into a referenced file to keep SKILL.md as a tighter overview, improving progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and well-organized; the diagnostic heuristics and benchmark table are useful domain knowledge Claude may not know precisely rather than padding, with only minor trimmable prose. | 4 / 5 |
Actionability | Provides concrete API endpoints, response fields, formulas with benchmarks, and an output template, but endpoints are shown as bare 'GET' lines without curl examples or auth/header details. | 4 / 5 |
Workflow Clarity | Clear sequence from Initial Assessment through Fetch steps to Analysis and Output, with an ASC-not-connected checkpoint; read-only so destructive validation is not required, though explicit error-recovery feedback loops are absent. | 4 / 5 |
Progressive Disclosure | Well-sectioned overview (~150 lines) with a single clearly-signaled one-level API reference; no bundle files present, and some inline frameworks/output templates could conceivably be split out. | 4 / 5 |
Total | 16 / 20 Passed |