Content
68%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 is well-organized, concise, and actionable with real script references and a clear end-to-end flow. The main gap is the absence of an explicit validation feedback loop around the destructive minimal-rewrite of the tex file, which caps workflow clarity.
Suggestions
Add an explicit validate-then-retry loop for the tex rewrite step (e.g., re-run citation alignment on rewritten sentences to confirm the fatal error is resolved and no new errors were introduced).
De-duplicate the 输入 section (lines 14-17 and 28-30) and replace placeholder /path/to/ values with concrete invocation patterns or a single parameterized example.
Make the AI 语义核查 → 报告 handoff explicit about where per-citation verdicts (fake_citation, overclaim, etc.) are written, so the report step has a clear input contract.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean bullet/section structure with executable commands and no padding about LaTeX/BibTeX basics; minor redundancy (the 输入 section repeats) keeps it just below a 5. | 4 / 5 |
Actionability | Provides concrete bash commands (run_ai_alignment.py --prepare/--render), enumerated citation-error categories, and explicit input/output file paths; placeholder /path/to/ values and a couple of underspecified steps are minor gaps. | 4 / 5 |
Workflow Clarity | A clear sequence (依赖检查→预检→抽取→核查→报告→渲染→输出) with stop-conditions and 失败与恢复 exists, but the destructive tex-rewrite step lacks an explicit validate-then-retry feedback loop, capping it per the destructive-operation rule. | 3 / 5 |
Progressive Disclosure | Well-sectioned body with one-level references to real bundle files (scripts/run_ai_alignment.py, config.yaml, verified present); no nested/deep references, though the structure is scripts-only with no separate reference docs. | 4 / 5 |
Total | 15 / 20 Passed |