Content
85%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.
An exceptionally actionable, well-structured skill body with a rigorously validated preflight workflow and clean one-level-deep progressive disclosure verified against the actual bundle. The one real weakness is redundancy: the four-legal-values rule, the never-assume-enabled rule, and the preflight itself are each restated multiple times across the STOP section, provider sections, and Best Practices, which inflates token cost without adding information.
Suggestions
State the 'exactly four legal createModel values' and 'never assume a model is enabled' rules once (in the STOP section and preflight ② respectively) and have Best Practices #1–#3 reference those sections instead of restating them in full, cutting an estimated 40–60 lines of duplication.
Trim the Available Providers and Models section to the decision table (legal values + when to use) and move the per-group prose details (resource-point quota behavior, offline dates, naming-collision rationale) into a short reference file or the existing custom-onboarding.md.
Compress Best Practice #1 into a two-line pointer to the Mandatory Two-Step Preflight section rather than repeating the full tool-call sequence, purchase link, and parameter names a second time.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body contains no filler explaining concepts Claude already knows — every section carries CloudBase-specific contract facts — but core rules are repeated three to four times: the "exactly four legal values" rule appears in the STOP section, the Available Providers section, and Best Practice #3; "never assume a model is already enabled" appears in the decision procedure, preflight ② steps 2–3, the providers section, and Best Practice #2; and Best Practice #1 re-summarizes the entire preflight verbatim. This matches 'mostly efficient but includes some unnecessary explanation or could be tightened' — not score 2 because nothing is generic padding, not score 4 because the redundancy goes beyond minor instances. | 3 / 5 |
Actionability | Guidance is fully executable: exact MCP calls with parameters (e.g. the UpdateAIModel payload showing the full-replacement Models[] with commented resend logic), npm install/version-check commands, complete init snippets for both cloud-function and regular-server contexts, the correct createModel/generateText pattern, and the exact purchase URL to surface on preflight failure. Common cases (text, streaming, image, error handling) are covered by copy-paste-ready snippets inline and in the real references/api-reference.md, matching the score-5 anchor rather than the score-4 'minor gaps' anchor. | 5 / 5 |
Workflow Clarity | The mandatory preflight is a clearly sequenced workflow (Step 0 env id → ① eligibility → ② group readiness → custom onboarding fallback) with explicit validation checkpoints ("Pass conditions (all required)", verify the model is in Models[] before calling), error-recovery feedback loops ("If the call returns InvalidParameter, fall back to camelCase", stop-and-surface branch with the exact message to show the user), and a self-verification checklist (Best Practice #13: tsc --noEmit, real invocation, confirm usage.total_tokens > 0). This matches the score-5 anchor with explicit validation steps and feedback loops. | 5 / 5 |
Progressive Disclosure | The bundle structure checks out: both referenced files (references/api-reference.md and references/custom-onboarding.md) exist, are linked with clear signals and descriptions in the body, are exactly one level deep (neither references further files), and are indexed in a Reference index section. Core decision logic (preflight, group rules) stays inline while API examples, TypeScript types, and the onboarding payload are appropriately split out — matching the score-5 anchor for clear overview with well-signaled one-level-deep references. | 5 / 5 |
Total | 18 / 20 Passed |