Content
37%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body mixes a large, non-instructional agent-config YAML dump with a concise but generic OpenAPI guide that lacks a sequenced workflow and validation step, and contains corrupted placeholder tokens.
Suggestions
Remove the ~115-line agent-config YAML block from SKILL.md; it is metadata, not skill instructions, and wastes tokens.
Add a numbered workflow with a validation checkpoint, e.g. '1. Inventory endpoints 2. Draft the spec 3. Validate with a linter 4. Fix and re-validate'.
Fix the corrupted tokens in the YAML template ('$endpoint' -> '/endpoint', 'application$json' -> 'application/json', 'request$response' -> 'request/response').
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The instructional markdown is reasonably lean, but the body is padded with ~115 lines of agent-config YAML metadata and OpenAPI boilerplate Claude already knows, so it is mostly efficient with unnecessary context. | 2 / 3 |
Actionability | An OpenAPI YAML structure template and concrete best-practice lists give some guidance, but the template is incomplete and corrupted with placeholder tokens like '$endpoint', 'request$response', and 'application$json'. | 2 / 3 |
Workflow Clarity | There is no sequenced multi-step workflow and no validation/verification checkpoint (e.g. linting the spec), which the guidelines require for documentation-generating tasks. | 1 / 3 |
Progressive Disclosure | The instructional content is organized into labeled sections with no external references needed, but the body is bloated by an inline monolithic YAML config block that should not live in SKILL.md. | 2 / 3 |
Total | 7 / 12 Passed |