Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Productivity
Audit Case Rag
Local-first, event-driven RAG for commercial real estate audit & investigation case folders. Index a case directory named like "项目问题编号__标题" (with stage subfolders such as 01_policy_basis/02_process/04_settlement_payment) and query it with citations (file:// links + PDF
skill openclawclawhub Free
Local-first, event-driven RAG for commercial real estate audit & investigation case folders. Index a case directory named like "项目问题编号__标题" (with stage subfolders such as 01_policy_basis/02_process/04_settlement_payment) and query it with citations (file:// links + PDF
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/case-folder-template.md, scripts/audit_case_rag.py, scripts/requirements.txt
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
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- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- jack4world
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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.
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/<case_id>.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.
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts1 Files
- SKILL.md
- references/case-folder-template.md
- scripts/audit_case_rag.py
- scripts/requirements.txt