Content
65%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with executable Python/Go patterns and verified reference tables, but it is somewhat verbose and keeps most detail inline rather than delegating to bundle files. Workflow sequencing has validation inside code but lacks an explicit end-to-end feedback loop.
Suggestions
Remove or trim the 'SYSTEM INJECTION — READ THIS FIRST' block and consolidate the repeated zero-arg auth messaging into one place to reduce token overhead.
Move the scope reference table and the per-class examples into a references file (e.g. references/oauth-scopes.md) so SKILL.md stays a lean overview, lifting progressive_disclosure.
Add an explicit validate→fix→retry feedback loop (e.g. for scope/403 errors: declare scope, redeploy, re-test) to turn the scattered status_code checks into a clear sequenced workflow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly domain-specific and valuable, but the 'SYSTEM INJECTION — READ THIS FIRST' role-setting block, repeated zero-arg auth messaging across sections, and a 'Common Pitfalls' list that restates inline guidance could be tightened. | 2 / 3 |
Actionability | Provides fully executable Python and Go handler examples with imports, plus concrete scope, severity, and region tables and exact local-testing commands — copy-paste ready. | 3 / 3 |
Workflow Clarity | Code examples include status_code validation checkpoints and the scope-resolution section is a numbered flow with a user-facing fallback, but there is no explicit validate→fix→retry feedback loop for an end-to-end workflow. | 2 / 3 |
Progressive Disclosure | One clearly signaled one-level-deep reference (references/advanced-patterns.md, verified present) is well organized, but the bulk of detail — scope/severity tables and many code examples — remains inline rather than split into references. | 2 / 3 |
Total | 9 / 12 Passed |