Content
100%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill body is a concise, actionable routing decision tree with concrete codes, explicit checkpoints, and a well-structured single reference. It scores top marks on every content dimension.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and routing-focused with no padding about what the OpenAI API is or how errors work; every line earns its place and it assumes Claude's competence. | 3 / 3 |
Actionability | Concrete error codes (401, invalid_api_key, insufficient_quota, rate_limit_exceeded, 403, model_not_found), a specific rerun directive (sandbox_permissions=require_escalated), and exact billing/limits URLs make the guidance directly executable rather than descriptive. | 3 / 3 |
Workflow Clarity | A numbered routing sequence (1-5) with an explicit checkpoint (rerun, then if a real API response is returned, continue below) and a Rules section disambiguating overlapping cases provides clear sequencing with feedback for error recovery. | 3 / 3 |
Progressive Disclosure | Content is organized into Routing, Rules, and References sections, with a single one-level-deep, clearly signaled reference (references/evals.md) that exists as a real file; navigation is easy. | 3 / 3 |
Total | 12 / 12 Passed |