Content
86%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 well-structured, token-efficient overview skill with exemplary conditional reference disclosure and a thorough verification section. It falls slightly short on actionability and workflow clarity: the required narrow model interface is never exemplified, and the working sequence is implied by section order rather than explicitly staged with recovery guidance.
Suggestions
Add a short Dart sketch of the mandated 'narrow application-owned interface' (e.g., a minimal abstract model-client contract with stream/cancel methods) so the skill's central architectural directive is concrete rather than purely descriptive.
Make the working sequence explicit (Preflight → define boundary → implement via references → verify), numbering the phases so it reads as a staged workflow rather than parallel sections.
In Verification, add a brief feedback loop for the failure cases it enumerates (e.g., what to do when malformed structured output or tool-denial tests fail), so error recovery is guided rather than only detected.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and directive throughout — "Treat output, tool arguments, citations, and structured data as untrusted input", "Do not add a provider SDK, account setup, credential, or backend merely because this skill was selected" — with no explanations of concepts Claude already knows; every token earns its place. | 5 / 5 |
Actionability | Concrete enumerations are strong (preflight reads, behaviors to define, verification cases like "partial chunks, cancellation, timeout, malformed structured output, tool denial and failure"), but the skill's central mandate — "Keep model and provider details behind a narrow application-owned interface" — ships without even a sketch of that interface, leaving a minor executability gap. | 4 / 5 |
Workflow Clarity | The Preflight → boundary definition → conditional references → Verification flow is clear and verification is detailed (fake-model testing scope, platform checks, reporting requirements), but steps are never explicitly sequenced and no validate-and-recover feedback loop is described, so it falls short of the 5 anchor. | 4 / 5 |
Progressive Disclosure | The "Load references conditionally" section signals each of the three reference files with an explicit read-condition (including "Do not introduce them by default"), all referenced paths resolve to real one-level-deep files in references/, and the body stays a lean overview — exemplary structure and navigation. | 5 / 5 |
Total | 18 / 20 Passed |