Content
70%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 highly actionable with an exceptionally clear, validation-rich preflight workflow, but token efficiency suffers from systematic restatement of the same createModel/preflight/enabled-model rules across at least five sections. Structure is well-headed but monolithic, with reference-grade material inlined.
Suggestions
State each critical rule once in its canonical section (e.g., keep 'never assume a model is enabled; verify via DescribeAIModels → DescribeManagedAIModelList → UpdateAIModel' only in preflight ②) and have the createModel table and Best Practices reference it instead of restating it, cutting an estimated 30–40% of the body.
Move the Type Definitions and Custom onboarding (CreateAIModel/UpdateAIModel/DeleteAIModel) sections into a references/ file (e.g. references/model-groups.md), keeping a one-line pointer in SKILL.md so the main body stays an operational overview.
Merge preflight ② steps 2 and 3, which both instruct 'check whether the target Model is in the cloudbase group's Models[] and jump to step 4 if missing', into a single step.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The same three rules are systematically restated: 'No model is enabled by default — always check DescribeAIModels first' appears in the createModel table, decision procedure, preflight ② steps 2–4, the Available Providers section, and Best Practices #1–#2; 'Models is a full replacement' appears ~4 times; Best Practices #3 and #10 restate earlier sections wholesale. All content is SDK-novel, but the duplication across sections is noticeably verbose rather than the 'some unnecessary explanation' of anchor 3. | 2 / 5 |
Actionability | Guidance is fully executable: complete init/auth-gate code, generateText and streamText examples with all stream options, literal MCP calls with exact pass conditions (postpayPackageId prefix, status exclusions), the UpdateAIModel payload shape, a purchase URL, and copy-paste-ready placeholders. Common cases (managed model, custom onboarding, streaming, error handling) are all covered. | 5 / 5 |
Workflow Clarity | The mandatory preflight is a clearly sequenced workflow (Step 0 EnvId → ① eligibility with explicit pass conditions → ② numbered group-readiness steps with branch points), includes a failure path with a user retry loop, distinguishes preflight from model-call failures, and ends with an explicit self-verification checklist (tsc, build, browser test, usage non-zero). | 5 / 5 |
Progressive Disclosure | The body is a ~380-line inline monolith with no in-skill reference files: Type Definitions and custom-onboarding detail are inline API-reference material that could live in separate files, and sibling-skill pointers are external to this bundle. Section headers are clear, but it is a full manual rather than an overview pointing to one-level-deep materials. | 3 / 5 |
Total | 15 / 20 Passed |