Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is a strong, actionable multi-agent workflow with concrete commands, explicit tool configuration, and a genuine validation/feedback gate in the audit step. Its main weaknesses are minor redundancy/editorializing and a monolithic single-file structure whose external references are not bundled alongside it.
Suggestions
Tighten the "AI研究偏见评估" section to operational rules only and remove points in "重要注意事项" that already appear in the numbered steps (e.g. the parallel-launch and SendMessage reminders) to reduce redundancy.
Consider moving the detailed financial-data source rules and the agent prompt template into a bundled reference file (e.g. references/financial-data.md) referenced one level deep, so SKILL.md reads as a tighter overview with real progressive disclosure.
Since referenced tools (tools/financial_rigor.py, tools/report_audit.py) are not bundled here, add a one-line note on where to obtain them or confirm they exist in the host repo, so the commands are guaranteed executable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly procedural and efficient (tables, commands, prompt templates), but the "AI研究偏见评估" section editorializes concepts and "重要注意事项" re-states points already covered in the steps, so it could be tightened; it is not the padded concept-explanation of a 1 nor the fully lean every-token-earns-its-place of a 3. | 2 / 3 |
Actionability | It provides fully executable, parameterized commands (e.g. "python3 tools/financial_rigor.py verify-market-cap --price {价格} --shares {股本} --reported {报告市值} --currency {币种}") plus concrete Task tool config (subagent_type, run_in_background, team_name) and a ready-to-use agent prompt template, matching the copy-paste-ready anchor at 3. | 3 / 3 |
Workflow Clarity | Ten explicitly numbered steps (第一步–第十步) sequence the process, and Step 9 (数据抽检/准出流程) implements a real validation gate with a feedback loop (extract → verify → verdict → 准出/打回 → 修正后重审), satisfying the clear-sequence-with-explicit-validation anchor at 3. | 3 / 3 |
Progressive Disclosure | The file is well-sectioned but monolithic at ~225 lines, with detailed prompt templates and report-structure specs kept inline; its references (skills/financial-data.md, tools/financial_rigor.py, tools/report_audit.py) point to external repo paths rather than bundled files present in the skill directory, so it is not the clean overview→one-level-reference split of a 3. | 2 / 3 |
Total | 10 / 12 Passed |