audit-case-rag

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.

Workflow

0) Prepare a case folder (事件驱动)

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/IM
• 06_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

Full template: references/case-folder-template.md

1) Install dependencies (local)

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.

2) Index the case

./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 directory
• audit_rag_db/.joblib (persistent local index)

3) Query with event filters

./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:

• Evidence lines include clickable file://...#page=N citations when possible.
• Retrieval is hybrid: embedding recall + TF‑IDF rerank (alpha configurable).

Safety/Privacy

• No cloud APIs. Everything runs locally.
• Do not commit outputs (indices, converted PDFs) to git.