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 delivers an exceptionally actionable, well-gated workflow — exact tool calls, pass/fail conditions, feedback loops, and a self-verification checklist — and the anti-hallucination framing around createModel is well targeted. Its weaknesses are repetition of the same rules across multiple sections and a fully monolithic structure with no reference files, despite content (Type Definitions, provider catalog) that would naturally split out.
Suggestions
Consolidate the createModel argument rules into one authoritative section: the STOP table, the 'Available Providers and Models' section, and Best Practices #2–#3 each restate the same three legal values and the 'never guess' warning — keep the STOP table plus one best-practice pointer and drop the duplicated prose.
Move the Type Definitions block (and optionally the provider/model catalog and custom-onboarding detail) into a references/ file (e.g. references/types.md), keeping a one-line link in SKILL.md so the main body stays a lean overview with one-level-deep references.
Trim the repeated 'never assume a model is enabled' warnings (~5 occurrences) to the two places where the action is performed — the decision procedure and preflight ② — and reference them from Best Practices instead of restating them.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body restates the same operational rules multiple times: the createModel argument rules appear three times in full (the STOP table, the Available Providers section, and Best Practices #2–#3), and "never assume a model is enabled / verify with DescribeAIModels" appears ~5 times (e.g. "Never assume the model is already enabled", "No model is enabled by default", "Never assume any model is already enabled"). This fits the score-3 anchor (mostly efficient but could be tightened) rather than score 4, because the repetition is more than minor; it is above score 2 because nothing explains concepts Claude already knows — the density is deliberate anti-hallucination emphasis, not padding. | 3 / 5 |
Actionability | Fully executable throughout: exact MCP calls with service/action/params (callCloudApi(service="tcb", action="DescribeEnvPostpayPackage", params={ EnvId })), field-level pass conditions (postpayPackageId starts with pkg_tcb_tokencredits_, status not in [3,4]), full-replacement semantics for UpdateAIModels' Models[] with a commented resend template, copy-ready JS for init/generateText/streamText/error handling, console URLs, and Type Definitions. Matches the score-5 anchor (copy-paste ready, common cases covered); score 4 would require minor gaps in the covered cases. | 5 / 5 |
Workflow Clarity | The two-step preflight is a clearly sequenced procedure (Step 0: queryEnv → ① eligibility → ② group readiness with numbered branches), with explicit validation gates (❌ stop and surface the purchase link / ✅ proceed), jump instructions for missing models, a fallback feedback loop ("fall back to camelCase on InvalidParameter"), post-onboarding confirmation via DescribeAIModels, a preflight-vs-runtime failure distinction (Best Practice #11), and a self-verify checklist (tsc --noEmit, build, open the page, confirm non-zero usage). Matches the score-5 anchor: explicit validation steps, feedback loops, and a checklist. | 5 / 5 |
Progressive Disclosure | No bundle files exist (no references/, scripts/, or assets/), so everything — including a Type Definitions API reference section, the provider/model catalog, and custom-onboarding detail — is inlined in a single ~370-line SKILL.md, well past the 'under 50 lines with no need for external references' carve-out. Section headers are clear and sibling-skill navigation is well signaled, so it sits above the score-2 anchor (unstructured inline dump), but content that belongs in a separate reference file is inlined with no reference layer at all, matching the score-3 anchor; score 4 would require the split to be mostly done with only minor gaps. | 3 / 5 |
Total | 16 / 20 Passed |