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 highly actionable, well-sequenced skill body: exact API calls, explicit validation checkpoints, and disciplined routing of detailed material to one-level-deep reference files. Its main weakness is redundancy — the createModel guardrail and preflight procedure are each restated multiple times, inflating token cost without adding information.
Suggestions
Consolidate the createModel legal-argument rule into one authoritative section (e.g. the STOP table) and reduce the 'Available Providers and Models' section and Best Practice #3 to one-line cross-references to it, saving ~40 lines of repeated guidance.
Drop the re-narration of the preflight steps in Best Practices #1-#2 and replace with a single pointer to the Mandatory Two-Step Preflight section, keeping only the purchase-link behavior as new information.
Move the full UpdateAIModel payload and the recommended-timeout table into references/api-reference.md, keeping just the rule ('Models is a full replacement; image generation timeout 900s') inline to shrink the overview body.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The createModel legal-argument rule is repeated three times (the STOP table, the 'Available Providers and Models' section, and Best Practice #3), and the two-step preflight is fully detailed then re-summarized in Best Practices #1-#2. The content is SDK-specific and non-obvious, but the duplication exceeds the 'minor instances of over-explanation' of anchor 4, fitting 'could be tightened' anchor 3. | 3 / 5 |
Actionability | Fully executable guidance throughout: exact MCP calls with parameters (callCloudApi(service="tcb", action="DescribeAIModels", params={ EnvId })), explicit pass/fail conditions, a copy-paste UpdateAIModel payload, install and init code, and concrete timeout ranges. Copy-paste ready and covers the common cases — anchor 5. | 5 / 5 |
Workflow Clarity | The two-step preflight is clearly sequenced with explicit validation checkpoints and stop conditions ('❌ Not satisfied → stop writing code', '✅ Satisfied → proceed to preflight ②'), error-recovery loops ('If the call returns InvalidParameter, fall back to camelCase'), and a self-verification checklist (Best Practice #13). Anchor 5. | 5 / 5 |
Progressive Disclosure | The body links to two real, one-level-deep references (api-reference.md, custom-onboarding.md) with descriptive link text and a reference index — both files exist as linked. However, at ~270 lines the body itself carries inlinable bulk (full UpdateAIModel payload, timeout tables, 13 best practices), so organization is good with minor gaps — anchor 4 rather than a lean overview with everything appropriately split. | 4 / 5 |
Total | 17 / 20 Passed |