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.
A strongly engineered skill body: exact tool calls, gated workflow with validation and recovery loops, and clean one-level reference splitting. The only real weakness is redundancy — the createModel contract and preflight rules are each stated three to four times across the STOP section, provider section, and Best Practices, which inflates token cost without adding information.
Suggestions
State the createModel three-legal-values contract once (in the STOP section) and have the 'Available Providers and Models' section and Best Practice #3 reference it ('see the createModel contract above') instead of restating it verbatim.
Trim Best Practices #1–2, which re-narrate the entire two-step preflight already specified above; a one-line reminder ('run the mandatory preflight before any SDK code') would preserve the reinforcement at a fraction of the tokens.
Collapse the 'Never assume a model is already enabled' guidance, which appears in the decision procedure, preflight step 2, the provider section, and Best Practice #2, into a single strongly-worded rule stated once at the point of highest risk.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and free of concept padding (no explanations of what cloud functions or LLMs are), but the same rules are repeated nearly verbatim several times: the createModel three-legal-values contract appears in the STOP section, again under 'Available Providers and Models', and again in Best Practice #3; the preflight and 'never assume a model is enabled' rules each reappear in Best Practices #1–2. The duplication goes beyond the 'minor instances' of a 4, fitting the 'mostly efficient but could be tightened' anchor. | 3 / 5 |
Actionability | Guidance is fully executable: exact MCP calls with service/action/params, explicit pass conditions ('postpayPackageId starts with pkg_tcb_tokencredits_', 'status NOT in [3, 4]'), a ready-to-surface purchase message, the complete UpdateAIModel payload with the full-replacement Models[] caveat, runnable init code, and concrete timeout ranges. Copy-paste-ready material covers the common cases. | 5 / 5 |
Workflow Clarity | The two-step preflight is a clearly numbered sequence with explicit validation checkpoints and feedback loops: pack missing → stop and surface the purchase link; target model missing → DescribeManagedAIModelList for the exact spelling → UpdateAIModel → proceed; plus a final self-verify step (Best Practice #13: real invocation, usage.total_tokens > 0). This matches the top anchor with recovery paths throughout. | 5 / 5 |
Progressive Disclosure | The body keeps decision-critical gating logic inline and pushes bulk detail to two real, clearly signaled, one-level-deep files — [api-reference.md](references/api-reference.md) behind an on-demand section ('read … before writing code') and [custom-onboarding.md](references/custom-onboarding.md) — with a closing reference index listing both. Both files exist, and neither nests further references, so navigation is easy. | 5 / 5 |
Total | 18 / 20 Passed |