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 dense, actionable skill body with complete executable code, a clear generation workflow, and clean one-level-deep reference navigation. The main weaknesses are minor prose that could be trimmed and an implicit rather than explicit error-recovery loop in the workflow.
Suggestions
Tighten §1/§2/§2.5 prose into terser rule statements (e.g. bullet the decision criteria) to reduce token weight while preserving the guidance.
Make the §6 feedback loop explicit: add a 'if conflict found → rename attribute → re-check' validate→fix→retry step alongside the existing self-check, since batch adapter generation touches multiple methods.
Consider moving the §2.5 decision table and §3 timestamp boilerplate into references/reference.md to keep SKILL.md as a lean overview, mirroring how the prefix/judgement tables are already externalized.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and free of generic concept explanations, but §1/§2/§2.5 carry explanatory prose that could be tightened into terser rules without losing meaning. | 4 / 5 |
Actionability | Provides copy-paste-ready executable Kotlin (the full 'bindingTVUnderline' function, 'qualifiesScroll'/'qualifiesBindingAction' extensions) plus concrete paths, XML examples via reference, and a precise generation workflow. | 5 / 5 |
Workflow Clarity | §6 gives a clear six-step sequence with a self-check step and an '执行清单' checklist, but the fix-and-re-validate feedback loop is implicit rather than an explicit validate→fix→retry cycle. | 4 / 5 |
Progressive Disclosure | Well-structured body with one-level-deep, clearly signaled references — [references/reference.md](references/reference.md) is cited with section anchors (§优先范例) and holds the tables/examples/prefix conventions while SKILL.md keeps the flow. | 5 / 5 |
Total | 18 / 20 Passed |