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tabular-review-lawvable表格审查 lawvable

Agent Skill

tabular-review-lawvable 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

936

周安装

39

GitHub Stars

302

下载量

312
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:tabular-review-lawvable(表格审查 lawvable)
来源仓库:https://github.com/lawvable/awesome-legal-skills
仓库路径:skills/tabular-review-lawvable
安装命令:
npx skills add https://github.com/lawvable/awesome-legal-skills --skill tabular-review-lawvable
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/lawvable/awesome-legal-skills --skill tabular-review-lawvable

简介

tabular-review-lawvable 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于法律相关场景下基于关键词或任务线索的信息提取。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 建议确认权限范围和维护状态,避免触发联网或文件读写操作。
  • 可结合原始 README 进一步核验具体功能和调用方式。

SKILL.md

Tabular Review

Extract structured data from multiple documents into an Excel matrix with citations.

Required Skills

  • pdf - For reading PDF documents
  • docx - For reading Word documents
  • xlsx - For creating the Excel output

Workflow

Step 1: Gather User Requirements

Use AskUserQuestion to collect:

  1. Document folder path - Where are the documents?
  2. Output filename - Name for the Excel file
  3. Columns to extract - What information to pull from each document

Example column definitions:

- Parties: Names of all parties to the agreement
- Effective Date: When the agreement becomes effective
- Term: Duration of the agreement
- Governing Law: Jurisdiction for disputes

Step 2: Discover Documents

Use Glob to find all documents:

Glob(pattern: "**/*.pdf", path: "<folder>")
Glob(pattern: "**/*.docx", path: "<folder>")

Step 3: Process Documents in Parallel

Launch background agents to process documents concurrently. Each agent:

  • Reads assigned documents using pdf or docx skill
  • Extracts values for each column
  • Captures page/paragraph citations
  • Returns structured JSON

Launch agents:

Task(
  prompt: "<agent_prompt>",
  subagent_type: "general-purpose",
  run_in_background: true
)

Agent prompt template:

You are processing documents for a tabular review.

DOCUMENTS TO PROCESS:
<list of document paths>

COLUMNS TO EXTRACT:
<column definitions>

For each document:
1. Read the document using the pdf skill (for .pdf) or docx skill (for .docx)
2. Extract the requested information for each column
3. Note the page number (PDF) or section (DOCX) where you found the information
4. Include a brief quote (30-50 chars) showing the source text

Return your results as JSON:
{
  "results": [
    {
      "document": "<filename>",
      "path": "<absolute_path>",
      "extractions": [
        {
          "column": "<column_name>",
          "value": "<extracted_value>",
          "page": <page_number>,
          "quote": "<brief_context_quote>"
        }
      ]
    }
  ]
}

If you cannot find information for a column, set value to "Not found" and explain in the quote field.

Distribution strategy:

  • For N documents and M agents, each agent processes ceil(N/M) documents
  • Default: 10 agents maximum
  • Adjust based on document count

Step 4: Collect Results

Wait for all background agents to complete:

TaskOutput(task_id: "<agent_id>", block: true)

Aggregate all results into a single array of document extractions.

Step 5: Generate Excel Output

Invoke the xlsx skill to create the output file:

Create an Excel workbook at <output_path>:

SHEET 1: "Document Review"
- Header row: Document | <Column1> | <Column2> | ...
- Data rows: One row per document

For each extraction cell:
- Cell value: The extracted text
- Cell hyperlink: file://<document_path>#page=<N> (for PDFs)
- Cell comment: "Page <N>: '<quote>'"

SHEET 2: "Summary"
- Total documents: <count>
- Documents processed: <count>
- Extraction date: <today>

JSON Schema

Extraction result format:

{
  "document": "Contract_ABC.pdf",
  "path": "/path/to/Contract_ABC.pdf",
  "extractions": [
    {
      "column": "Parties",
      "value": "Acme Corp and Beta Inc",
      "page": 1,
      "quote": "entered into between Acme Corp and Beta Inc"
    },
    {
      "column": "Effective Date",
      "value": "January 15, 2025",
      "page": 1,
      "quote": "effective as of January 15, 2025"
    }
  ]
}

Excel Output Format

Cell with citation:

  • Value: "Acme Corp and Beta Inc"
  • Hyperlink: file:///path/to/Contract_ABC.pdf#page=1
  • Comment: Page 1: "entered into between Acme Corp and Beta Inc"

Color coding (optional):

  • Green: Value found with high confidence
  • Yellow: Value found but uncertain
  • Red: Value not found

Error Handling

ScenarioAction
Document unreadableLog error, mark row as failed, continue
Column not foundSet value to "Not found", explain in comment
Agent timeoutCollect partial results, note incomplete
Missing skillPrompt user to install required skill

Example Usage

User: I want to do a tabular review of my contracts

Claude: [Uses AskUserQuestion]
  - What folder contains your documents?
  - What should I name the output Excel file?
  - What columns do you want to extract?

User: ~/Contracts, review.xlsx, Parties/Date/Term/Governing Law

Claude: [Discovers 15 documents via Glob]
Claude: [Launches 5 background agents, 3 docs each]
Claude: [Collects results via TaskOutput]
Claude: [Creates review.xlsx via xlsx skill]

Output: review.xlsx with 15 rows, 4 columns, hyperlinks and citations

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.75%
按下载量换算112

Claude

28.94%
按下载量换算90

Cursor

18.88%
按下载量换算59

Gemini CLI

8.86%
按下载量换算28

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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