Content
93%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 API skill body: lean, executable, and cleanly split into an overview plus one-level-deep reference files. The only gap is the absence of explicit response-validation/error-handling guidance in the inline workflow.
Suggestions
Add a brief error-handling note to Quick Start (e.g., check resp.status_code or wrap requests in try/except) to add an explicit validation checkpoint.
Show one example of inspecting an error response (4xx/5xx) so failed fetches have a clear recovery path.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean body of dense tables and executable code; assumes Claude knows REST/Python basics and never pads with concept explanations, so every section earns its tokens. | 5 / 5 |
Actionability | Quick-start code is copy-paste ready, endpoint tables give exact paths and parameters, and real mnemonic examples cover the common discovery and fetch cases. | 5 / 5 |
Workflow Clarity | Quick Start shows a clear discover→search→fetch→DataFrame progression, but lacks explicit response validation or error-handling checkpoints; read-only scope avoids the destructive cap, so this sits above 3 but below 5. | 4 / 5 |
Progressive Disclosure | The body is a concise overview with a well-signaled Reference Files section linking seven one-level-deep reference files, each annotated with its contents; all referenced files exist in ./references/. | 5 / 5 |
Total | 19 / 20 Passed |