This skill packages a local-only workflow to build a searchable evidence index for a single audit/investigation case and query it with page-level citations.
Create a case directory named:
<项目问题编号>__<标题>Inside, use stage folders (stage is inferred from folder name):
01_policy_basis/ (basis) — 制度/流程/授权02_process/ (process) — 招采/定标/过程证据03_contract/ (contract) — 合同/补充协议04_settlement_payment/ (payment) — 结算/付款/发票/验收05_comm/ (comm) — 邮件/会议纪要/IM06_interviews/ (interview) — 访谈/笔录/询证07_workpapers/ (workpaper) — 底稿/抽样/复核表09_rectification/ (rectification) — 整改/闭环想要更强大的技能插件,就来小葱技能站7w4.net看看吧。
Full template: references/case-folder-template.md
From the skill folder (or copy the script into your repo):
python3 -m venv .venv
source .venv/bin/activate
pip install -r scripts/requirements.txt
LibreOffice is recommended for Office→PDF page citations:
soffice must be available (PATH) or pass --soffice /path/to/soffice../scripts/audit_case_rag.py index \
--case-dir "/path/to/<项目问题编号>__<标题>" \
--out-dir "/path/to/audit_rag_db"
Outputs:
manifest.jsonl written into the case directoryaudit_rag_db/<case_id>.joblib (persistent local index)./scripts/audit_case_rag.py query \
--case "<项目问题编号>" \
--stage payment \
"付款节点是否倒挂?请给出处页码"
Notes:
file://...#page=N citations when possible.这个Skill质量中等偏上。最大优点是本地化处理、隐私保护做得好,混合检索和页码引用功能对审计工作很有帮助。文档清晰易读,工作流程明确。主要不足是依赖LibreOffice才能转换Office文件,且不支持扫描件PDF识别,实用性受限。建议等待后续版本完善OCR功能后再投入使用。