Content
88%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-engineered skill body: executable commands, a documented and verified parameter surface, and a validation-first workflow with explicit feedback loops. The remaining gaps are minor — duplicated artifact-level/output rules and no mention of the requirements.txt dependency file or helper scripts in the bundle.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is rule-dense with no explanation of concepts Claude already knows, and every section carries operational information. Not a 5 because `artifact-level` defaults and the non-law output rules are each stated twice (in 三阶段参数/输出规则 and again under 可通过命令参数切换/非法律文档), which could be consolidated. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready commands ("python3 law-to-markdown/scripts/law_to_markdown.py \"input.txt\"") covering the common cases — txt, docx, pdf, and the consent-gated fallback variants — and every documented flag (--law-decision, --skip-stage3-check, --stage3-strict, --artifact-level, --out) verifies against the script's actual argparse surface. | 5 / 5 |
Workflow Clarity | The three-stage pipeline is clearly sequenced with explicit validation checkpoints (Stage3-A text fidelity, Stage3-B structural checks), a defined failure feedback loop ("任一失败触发自动重走，最多 2 次；仍失败默认报错退出"), a non-law rejection path, and a safe no-op path when structure is unrecognized. This matches the top anchor including error recovery. | 5 / 5 |
Progressive Disclosure | Well-organized sections with all overview-level content appropriately inline and detailed logic correctly delegated to the scripts bundle. Not a 5: the bundle's other files (cn_law_normalizer.py, stage3_checker.py, requirements.txt) get no navigation or mention, and dependency installation for the fallback engines is never surfaced despite requirements.txt existing. | 4 / 5 |
Total | 18 / 20 Passed |