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.
A strong, highly actionable skill body: the preflight workflow is sequenced with explicit validation and recovery paths, and every step is backed by concrete payloads, code, or commands. Its main weakness is redundancy — the core createModel and enable-model rules are each restated in three to four places — which inflates length without adding information, and the provider-group reference detail sits inline rather than in a bundle file.
Suggestions
State the four legal createModel(...) values once (the STOP table is the natural home) and reduce "Available Providers and Models" and Best Practice #3 to one-line pointers back to it, cutting roughly 30 lines of repetition.
Consolidate the "never assume a model is already enabled" rule into preflight ② alone and remove its re-statements in the decision procedure, the providers section, and Best Practice #2.
Merge the 🧭 "Runtime-plane fit" note with the "Do NOT use for" list (they state the same routing rule twice), or move the vendor roster detail in "Available Providers and Models" into references/api-reference.md.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense with platform-specific, non-obvious contract detail (no generic-concept padding), but key rules are repeated verbatim across sections: the four legal createModel values appear in the STOP table, again in "Available Providers and Models", and again in Best Practice #3; "never assume a model is enabled" appears in the decision procedure, preflight ② twice, the providers section, and Best Practice #2; the web/Mini-Program routing note duplicates the "Do NOT use for" list. This matches "mostly efficient but ... could be tightened"; it is not a 2 because the repeated content is genuinely non-obvious platform contract rather than padded explanation of known concepts. | 3 / 5 |
Actionability | Fully executable throughout: exact MCP call payloads ("callCloudApi(service=\"tcb\", action=\"DescribeAIModels\", params={ EnvId })"), a complete UpdateAIModel params shape, copy-paste init and createModel code blocks, npm install/version-check commands, numeric timeout ranges per operation, the purchase URL to surface on failure, and concrete self-verify commands ("tsc --noEmit", "manageFunctions(action=\"invokeFunction\")", "usage.total_tokens > 0"). Common cases are covered end-to-end, matching the 5 anchor. | 5 / 5 |
Workflow Clarity | The two-step preflight is a clearly sequenced workflow (Step 0 env id → ① eligibility → ② group readiness) with explicit validation checkpoints (enumerated pass conditions, "Status is NOT in [3, 4]"), branch handling on both failure (stop + purchase link) and success, feedback loops for error recovery (casing fallback on InvalidParameter, DescribeManagedAIModelList re-check before UpdateAIModel, "Models is a full replacement — always resend"), and a final self-verify checklist — matching the 5 anchor including its feedback-loop requirement. The mutation risk in UpdateAIModel is explicitly validated, so no destructive-operation cap applies. | 5 / 5 |
Progressive Disclosure | Both referenced files exist (references/api-reference.md, references/custom-onboarding.md), are one level deep (neither references further files), are clearly signaled in context, and are indexed with descriptions in a "Reference index" section; the split is appropriate (API details and onboarding out-of-line, mandatory preflight inline). Not a 5 because the ~35-line "Available Providers and Models" section substantially duplicates the STOP table's content inline — reference-style material that could live in a bundled file — keeping it at "good structure ... minor organization gaps". | 4 / 5 |
Total | 17 / 20 Passed |