Content
75%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 well-structured, actionable skill body with a clear staged workflow, real referenced detail files, and explicit validation steps. Slight conciseness gains and de-duplication of the reference listing would push it higher.
Suggestions
De-duplicate the references list: the '参考材料' section repeats files already cited inline in 主流程 stage 0; consolidate into a single navigation block.
Trim the 可选：成本追踪 and 关键命令 sections to the single recommended entry point plus a pointer, removing near-duplicate script inventories.
Add one explicit failure/feedback loop note in stage 8 (e.g. 'if validate_review_tex.py fails, fix the \cite/BibTeX mismatch and re-run before export') to match the anchor-5 workflow clarity example.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and directive with little padding and no over-explanation of known concepts, though the file-list, command, and cost sections could be trimmed slightly to fully earn every token. | 4 / 5 |
Actionability | It provides concrete executable commands (run_pipeline.py, pipeline_runner.py with --resume/--resume-from) and names the script per stage, with only minor placeholder gaps (e.g. {主题}). | 4 / 5 |
Workflow Clarity | The 0-9 stage sequence is explicit and a batch/validation-heavy pipeline includes validation steps (validate_counts.py, validate_review_tex.py, generate_validation_report.py) plus resume checkpoints, with only minor checkpoint gaps. | 4 / 5 |
Progressive Disclosure | SKILL.md serves as an overview that clearly signals one-level-deep references (ai_scoring_prompt.md, expert-review-writing.md, review-tex-section-templates.md, multilingual-guide.md), all verified to exist, with minor reference-list duplication. | 4 / 5 |
Total | 16 / 20 Passed |