Content
67%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 skill body is actionable and well-structured with real bundle references and a clear workflow, but is held back by generic boilerplate padding and a vague validation step. Tightening the common-constraints block and pointing validation at the existing validate_skill.py script would improve it.
Suggestions
Replace the generic "校验" description with a concrete validation command, e.g. running scripts/validate_skill.py, to close the validation gap for the batch/ranking operation.
Move or summarize the "公共硬约束" infrastructure boilerplate into a shared reference file rather than inlining it, to reduce token overhead.
Clean up the inlined report-skeleton markdown block so the deliverable structure is clearly separated from the workflow narrative.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The core workflow is lean and task-relevant, but the inlined "公共硬约束" boilerplate (BAC audit, API keys, path traversal/SSRF policy) is generic infrastructure padding that could be tightened or referenced. | 3 / 5 |
Actionability | Provides concrete, copy-paste-ready bash/python commands with specific flags and paths (nsfc_code_rank.py, mkdir, cp), with only minor placeholders like "A...." in the report skeleton. | 4 / 5 |
Workflow Clarity | Clear sequenced flow (timestamp/workspace → read-only read → rank script → 5 recommendations → write file) with a 校验 step and 失败与恢复 retry guidance, though the validation step is generic rather than a concrete command despite validate_skill.py existing. | 4 / 5 |
Progressive Disclosure | Body is an overview pointing to real, one-level-deep bundle files (nsfc_code_recommend.toml, two scripts, validate_skill.py) with the 678KB data externalized; minor organization gaps from the inlined report skeleton. | 4 / 5 |
Total | 15 / 20 Passed |