Content
71%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-organized, executable cookbook body: authentic code per operation, coherent setup sequence, and explicit per-document error handling. Its main weaknesses are the absence of any progressive disclosure (everything inline at ~220 lines), a couple of filler sections, and small undefined-variable gaps in the async example.
Suggestions
Split the per-operation examples (healthcare NLP, batch actions, async) into one-level-deep reference files (e.g., references/operations.md) and keep only a quick-start plus the operations table in SKILL.md, with clearly signaled 'See X.md' pointers.
Remove the filler 'Client Types' table and the empty 'When to Use' sentence, and tighten the async example so it is self-contained (define endpoint/documents or note they carry over from earlier sections).
Add brief error-recovery guidance for failed documents (what doc.is_error/doc.error contains and how to retry), turning the implicit per-document checks into a real feedback checkpoint.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | A lean, code-first cookbook with no concept padding — it never explains what sentiment analysis or NLP is. Two trimmable fillers keep it from anchor 5: the two-row "Client Types" table that restates the obvious, and the vacuous "This skill is applicable to execute the workflow or actions described in the overview." | 4 / 5 |
Actionability | Every operation ships real, executable code with imports, client construction, and result iteration (e.g., client.analyze_sentiment(documents, show_opinion_mining=True), poller.result()). Minor gaps — the async example references undefined endpoint/documents and ends with a '# Process results...' placeholder — hold it at anchor 4 rather than fully copy-paste-ready anchor 5. | 4 / 5 |
Workflow Clarity | The install → env → auth → operations sequence is coherent, and batch operations do include validation ('if not doc.is_error' in every example plus Best Practice #4), so the batch-operation cap at 3 does not apply. It stays at anchor 4 rather than 5 because there is no error-recovery guidance beyond skipping failed documents. | 4 / 5 |
Progressive Disclosure | There are no external reference files at all and ~220 lines of inline API cookbook, matching anchor 3's example of '200 lines of API reference that could be in a separate file' with decent section headers. Not anchor 4, which expects actual 'See X.md' references; the under-50-line exception does not apply at this size. | 3 / 5 |
Total | 15 / 20 Passed |