Content
100%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.
The body is a model skill file: concise, fully actionable with executable commands, four well-sequenced workflows each grounded in validation feedback loops, and clean one-level-deep progressive disclosure to real bundled reference files, scripts, templates, and schema.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and efficient throughout—each section earns its tokens, assumes Claude's competence (no explanations of what JSON/REST/URNs are), and uses terse imperative guidance and compact tables rather than padded prose. | 5 / 5 |
Actionability | Fully executable copy-paste commands with real arguments ("python scripts/new_catalog.py --template enterprise --publisher mycorp.com…", "python scripts/validate_catalog.py <path-or-url> [--json] [--strict]") and concrete error-code-to-fix mappings (urn-wrong-nid, value-or-reference, trust-domain-mismatch). | 5 / 5 |
Workflow Clarity | Four clearly sequenced numbered workflows, each with explicit validation checkpoints and feedback loops ("Run the validator first," "Re-run until clean," "Validate after every edit," "Validate the live URL after publishing"); a "Decide what the user needs" router maps intents to workflows. | 5 / 5 |
Progressive Disclosure | Clear overview in SKILL.md with well-signaled one-level-deep references—four reference files (data-model.md, registry-api.md, validation-rules.md, publishing.md), bundled scripts, schema, and templates—all verified present and each described with its scope; no nested reference chains. | 5 / 5 |
Total | 20 / 20 Passed |