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 content is highly actionable and workflow-clear with strong validation feedback loops for destructive/batch operations, but it is over-long due to duplicated examples and inlined reference catalogs that belong in separate files, and its external references point to machine-local or sibling-skill paths rather than real bundle files.
Suggestions
Move the large Zod-method catalog (快速参考 → 常用 Zod 验证方法) and Meta/类型导出 reference blocks into a references/ file (e.g. references/zod-reference.md) and link to it from SKILL.md to reduce duplication and improve progressive disclosure.
Collapse the standalone 完整开发示例 (Create User) and the 常见问题 FAQ, which restate rules already in 核心原则/审查检查清单; keep one canonical example and reference the rules instead.
Replace machine-local and sibling-skill reference paths ('/Volumes/code/...', '.claude/skills/pr-review/...') with relative paths to actual bundle files shipped under references/, so the referenced materials are real and portable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient actionable content but at ~790 lines it repeats the same patterns across multiple full examples (e.g. the Create User example re-derives Schema + handler already shown in 步骤 1-2), and the 常见问题 FAQ re-demonstrates fixes already covered by the rules and checklist. It could be tightened; it sits between efficient (4) and noticeably verbose (2), closer to the 'mostly efficient but could be tightened' anchor (3). | 3 / 5 |
Actionability | It provides fully executable, copy-paste-ready TypeScript (imports, handler signatures, schema.parse calls, authApp usage) across standard templates and a complete end-to-end Create User example, plus concrete zod method references covering the common cases. Every token-earning example is concrete and runnable. | 5 / 5 |
Workflow Clarity | Steps 1-4 are clearly sequenced with 🔴 checkpoints, the handler template numbers its validation steps (验证入参 → 业务逻辑 → 验证出参), and the destructive/batch data-cleaning section includes explicit feedback loops: dry-run default, explicit confirm before write, output of 成功/跳过/失败 statistics, skip-and-report for unsafe data. The checklist reinforces these checkpoints. | 5 / 5 |
Progressive Disclosure | There is good section structure, but large blocks of inline reference material (the full 常用 Zod 验证方法 catalog, multiple complete duplicated examples) that could live in separate reference files are inlined, and the external references point to non-bundle paths — absolute machine paths like '/Volumes/code/fastgpt-pro/FastGPT/...' and '.claude/skills/pr-review/*.md' that are not present in references/ scripts/ assets/ (which do not exist here), so the referenced paths are not real bundle files. This matches 'some structure but content that should be separate is inline' (3) better than 4. | 3 / 5 |
Total | 16 / 20 Passed |