Content
77%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with executable commands and well-sequenced workflows including validation checkpoints. It is moderately verbose in places and keeps all detail inline since no reference bundle files are provided.
Suggestions
Tighten the 技能边界 section and de-duplicate the title-length rule (stated fully in both 必做约束 and Step A.2) to improve conciseness.
Extract the title-length calculation algorithm and image-extraction rules into a references/ file (e.g. TITLE_LENGTH.md) and link to it from SKILL.md to improve progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with concrete commands, but some content is padded — the skill-boundary section repeats the 'ignore other projects' point across several bullets, and both A.1 and A.2 re-explain the title-length rule verbatim, which could be tightened. | 2 / 3 |
Actionability | Provides fully executable, copy-paste-ready CLI commands with real flags (e.g. 'python scripts/cli.py fill-publish --title-file ... --content-file ... --images ...') and concrete parameter tables. | 3 / 3 |
Workflow Clarity | Multi-step processes are clearly sequenced (流程 A/B with Steps A.1–A.5, B.1–B.6) and include explicit validation checkpoints: user confirmation via AskUserQuestion, exit-code handling (0/1/2), and the save-draft safety loop on cancel. | 3 / 3 |
Progressive Disclosure | No bundle files (references/scripts/assets) exist, so all detail lives inline in SKILL.md; the title-length algorithm and image-extraction rules are candidates for a separate reference file but are kept in the body. | 2 / 3 |
Total | 10 / 12 Passed |