Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, actionable skill body: concrete commands, a sequenced workflow with validation and a retry loop, and a single well-signaled reference file. The only minor slack is light duplication between the tier-threshold table and the quick-reference upgrade-workload table.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean tables and executable commands with no padding; domain-specific metric definitions (PN, 散文 counting rules) earn their place because Claude could not infer them, though the '快速参考' table lightly duplicates the门槛 table. | 3 / 3 |
Actionability | Fully executable commands ('python3 wiki/scripts/compute_quality.py --dry-run PAGE', 'record_revision.py …') with copy-paste-ready summary examples and a concrete gap→operation mapping table. | 3 / 3 |
Workflow Clarity | Five numbered steps (诊断→确定目标→按缺口执行→验证→记录修订) with a dry-run diagnose, a verify-and-retry feedback loop ('若未达到…继续补'), and an emphasized mandatory record step. | 3 / 3 |
Progressive Disclosure | Body is an overview pointing to one clearly-signaled, one-level-deep reference ([references/section_templates.md]) that is a real bundle file, with detailed section templates appropriately split out. | 3 / 3 |
Total | 12 / 12 Passed |