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 body provides a clear, actionable, well-sequenced workflow with real script references and strong safety constraints, but token efficiency is diluted by inlined ecosystem boilerplate and the config.yaml reference is dangling. A post-edit validation step and trimming the generic constraints would raise quality further.
Suggestions
Move the '公共硬约束' boilerplate and the bensz-collect-bugs bug-reporting procedure out of the main workflow path (e.g., to a separate reference file or a clearly skippable appendix) so the task-relevant token budget stays lean.
Add an explicit post-edit validation step to the workflow — e.g., re-running the alignment check on the modified tex to confirm P0 fixes resolved the fatal citation errors before rendering.
Fix the dangling 'config.yaml' reference in the 校验 section: either ship config.yaml in the bundle or point to the actual location where the configuration lives.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The core workflow is efficient, but the inlined '公共硬约束' boilerplate (BAC audit, generic SSRF/path/security constraints, version/CHANGELOG policy) and the bensz-collect-bugs bug-reporting procedure are ecosystem-level padding unrelated to the citation-check task. Not 2 because the task-specific sections themselves are tight and free of over-explanation. | 3 / 5 |
Actionability | Concrete, runnable commands are given ('python3 scripts/run_ai_alignment.py --work-dir "…" --prepare' / '--render'), along with exact output paths, a six-value citation classification scheme, and an evidence-priority ladder. Not 5 because placeholder paths and the rendering dependency on an external skill leave minor gaps in copy-paste readiness. | 4 / 5 |
Workflow Clarity | The flow (预检与定位 → 结构化上下文抽取 → AI 语义核查 → 报告 → 渲染) is clearly sequenced with checkpoints such as '缺任何核心文件时立即停止' and a 失败与恢复 section specifying retry from the last failed step. Not 5 because there is no explicit post-modification re-validation loop for the edited tex file. | 4 / 5 |
Progressive Disclosure | Sections are well organized and the referenced scripts (scripts/run_ai_alignment.py, plus the other files in scripts/) are real bundle files with one-level-deep references. Not 5 because the 校验 section references 'config.yaml', which does not exist in the bundle, and the canonical common-constraints block is inlined rather than split out. | 4 / 5 |
Total | 15 / 20 Passed |