Content
81%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.
This is a highly actionable, well-sequenced skill body with explicit validation checkpoints and a strong anti-hallucination guard around createModel. Its weaknesses are repetition (the routing/legal-values rules are restated several times) and a lack of progressive disclosure — large reference material (type defs, model catalog, onboarding) lives inline in SKILL.md rather than in bundled reference files.
Suggestions
Split the Type Definitions block and the full Available Providers/Models catalog into a references/ file (e.g. references/models.md) and link to it one level deep, keeping only the three legal createModel values inline.
De-duplicate the createModel legal-values guidance: state it once in the STOP section and have the Available Providers and Best Practices sections cross-reference it rather than restating it.
Move the custom-onboarding CreateAIModel example into references/onboarding.md, leaving a concise pointer plus the custom- naming rule in the main body.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is information-dense and free of generic concept explanations, but it repeats the same guidance in multiple places (the createModel legal-values rule appears in the STOP section, Available Providers, Best Practices, and the decision procedure) and restates the preflight steps in Best Practices, which pushes it above the 'mostly efficient' bar into noticeable repetition. | 3 / 5 |
Actionability | Fully executable: copy-paste-ready generateText/streamText/init snippets, exact MCP callCloudApi invocations with PascalCase params and camelCase fallback, and a precise UpdateAIModel full-replacement example covering the common enablement case. | 5 / 5 |
Workflow Clarity | The two-step preflight is explicitly sequenced (Step 0 envId → ① eligibility → ② group readiness) with concrete pass/fail conditions, a branching decision procedure for missing models, and a validation feedback loop (inspect DescribeAIModels → enable via UpdateAIModel → re-confirm before calling createModel), plus a self-verify checklist in Best Practices. | 5 / 5 |
Progressive Disclosure | The body is well section-headed but monolithic: the Type Definitions block, the full provider/model catalog, and the custom-onboarding CreateAIModel example are sizable reference material inlined in SKILL.md rather than split into one-level-deep reference files, and no bundle files (references/scripts/assets) are present to offload them. | 3 / 5 |
Total | 16 / 20 Passed |