Content
70%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 workflow with strong sequencing and validation, including feedback loops for the batch save/history operations. Its main weaknesses are monolithic structure with no reference files and a verbose tone/persona section that pads the token budget.
Suggestions
Extract the 点评人设, tone rules, and emoji verdict legend into a references/review-persona.md and link to it, improving progressive disclosure and token efficiency.
Move the full output-structure templates into references/output-template.md, keeping only a compact example inline in SKILL.md.
Trim redundant emphasis in the tone section (e.g. repeated "夸要具体/骂要更具体" phrasing) to lift conciseness.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly operational and concrete, but the persona/tone section and the emoji verdict legend are lengthy stylistic padding that could be tightened without losing the skill's intent. | 3 / 5 |
Actionability | Provides concrete file paths, variables, copy-paste markdown output templates, and an executable git command, with only minor placeholder gaps (e.g. YYYY-MM-DD) and a few abstract directives like "按主题分类". | 4 / 5 |
Workflow Clarity | Clear sequenced phases (Step 0 → 前置检查 → Phase 4/5/6) with explicit validation checkpoints and a feedback loop — the history 完整性校验 re-scans when counts mismatch, and git is gated by staged-change checks. | 5 / 5 |
Progressive Disclosure | Well-organized into clear sections but monolithic at ~250 lines with no bundle files; the persona spec, emoji legend, and output templates that could live in separate reference files are all inlined. | 3 / 5 |
Total | 15 / 20 Passed |