Content
77%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 and the two-step preflight workflow is a model of sequenced validation with feedback loops, but it is a monolithic ~440-line file that inlines material (type definitions, comparison tables, custom onboarding) better split into reference files, and it repeats the same createModel warning and prerequisite notes multiple times. Splitting reference material out and stating each warning once would cut substantial tokens without losing coverage.
Suggestions
Move the Type Definitions, the JS/Node SDK comparison table, and the Custom Onboarding walkthrough into a references/ file (e.g. references/api.md, references/custom-onboarding.md) linked from the body, shrinking SKILL.md to the overview, preflight, and core examples — this addresses the progressive_disclosure score of 3.
State the createModel provider-vs-model warning once (the ⛔ STOP section is the right home) and remove the duplicated versions in 'Available Providers and Models' and Best Practice #2; likewise consolidate the near-identical prerequisite blockquotes repeated before the generateText, streamText, and error-handling examples into a single note — this addresses the conciseness score of 3.
Trim the model roster enumeration in section B ('DeepSeek-V4-Pro, DeepSeek-V4-Flash, Deepseek-v3.2...') to a vendor-level summary, since the skill itself instructs to discover the roster at runtime and never hard-code it — the inline list is exactly the time-sensitive detail the skill warns against.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The domain-specific content (GroupName rules, billing eligibility, data-wrapper semantics) is genuinely things Claude would not know, but the same createModel warning is repeated three times ('⛔ STOP' section, the ⚠️ note under Available Providers, Best Practice #2), and near-identical prerequisite blockquotes precede each of the three code examples. Mostly efficient with some unnecessary repetition that could be tightened — anchor 3, not 4, because the duplication is systematic rather than a minor instance. | 3 / 5 |
Actionability | Every workflow ships executable code: concrete callCloudApi payloads with hit criteria ('envPostpayPackageInfoList contains an entry whose postpayPackageId starts with pkg_tcb_tokencredits_'), complete generateText/streamText examples with callbacks, a full CreateAIModel registration payload, and full TypeScript type definitions. Copy-paste ready and covering the common cases — anchor 5. | 5 / 5 |
Workflow Clarity | The mandatory two-step preflight is explicitly sequenced ('① eligibility → ② group readiness. Do not swap the two'), each step defines explicit hit criteria and miss-handling feedback loops ('On miss: do NOT silently fall back... ask whether to enroll and retry'), the InvalidParameter casing tip gives a retry loop, the UpdateAIModel full-replacement hazard is flagged with a merge instruction, and Best Practice 13 is a self-verification checklist. Clear sequence with explicit validation, error-recovery feedback loops, and a checklist — anchor 5. | 5 / 5 |
Progressive Disclosure | Section headers and internal navigation are good, but the skill is a ~440-line monolith with no reference files at all — the Type Definitions, the JS/Node comparison table, and the Custom Onboarding walkthrough are all inline content that naturally belongs in separate reference files. This matches anchor 3 (good structure, but content that should be separate is inline and no references exist), not 2 since the body is clearly headed and navigable, and not 4 since there are no one-level-deep references to signal. | 3 / 5 |
Total | 16 / 20 Passed |