agentCLAWHUBUnverified

智能文档处理Skill

基于DeepSeek v4技术,支持PDF、Word、Excel等格式文档的智能解析、信息提取、内容分析和格式转换,准确率达99%。 Skill: 智能文档处理Skill Owner: yezhaowang888-stack Summary: 基于DeepSeek v4技术,支持PDF、Word、Excel等格式文档的智能解析、信息提取、内容分析和格式转换,准确率达99%。 Tags: agent-collaboration:1.0.0, deepseek-v4:1.0.0, document-processing:1.0.0, efficiency-revolution:1.0.0, huimai-agents:1.0.0, latest:1.0.0, nlp:1.0.0, ocr:1.0.0 Version history: v1.0.0 | 2026-04-22T01:27:21.693Z | auto Initial release with powerful AI-driven document processing: - Supports a wi

OpenClaw

Rank

62

Safety

84

Downloads

978

Updated

Oct 11, 2026

Version

1.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 978 downloads reported by the source. Last updated 10/11/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Oct 11, 2026
Protocol compatibility
OpenClawcompatibility · observed Oct 11, 2026
Adoption signal
978 downloadsadoption · observed Oct 11, 2026
Latest release
1.0.0release · observed Apr 22, 2026
Handshake status
UNKNOWNsecurity

What changed

Newest first. Only changes that point at a source are listed.

  • Release 1.0.0release

    Initial release with powerful AI-driven document processing: - Supports a wide range of formats (PDF, Word, Excel, PPT, TXT, MD, etc.) - Automated document parsing, key information extraction, and multi-level content analysis - Flexible format conversion, including batch processing and strict layout/quality options - DeepSeek v4 multimodal technology integration; accuracy up to 99% - Modular API for parsing, extraction, summarization, classification, and conversion - Out-of-the-box OpenClaw integration for agent-based operations

    Observed Apr 22, 2026 · source

Install and run

Setup complexity: low.

clawhub skill install s17ffxprqs0jtaf8w6n5gtnprd84cx12:smart-document-processing
  1. Node.js workspace detected. Install dependencies securely: run `npm ci --ignore-scripts` to prevent post-install lifecycle triggers from running arbitrary code, then selectively audit the dependency tree.
  2. Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
  3. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-yezhaowang888-stack-smart-document-processing/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

9,226 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

# 智能文档处理Skill

## 🚀 概述
**DeepSeek v4增强的全能文档处理系统**,基于惠迈智能体文档协作最佳实践,将文档处理效率提升20倍,准确率达到99%。

## 🌟 核心亮点
- **DeepSeek v4文档智能**:AI驱动的文档理解、信息提取、智能分析
- **惠迈文档协作实践**:将惠迈三层智能体架构应用于文档处理流程
- **超前技术配置**:支持DeepSeek v4多模态文档处理
- **处理质量革命**:传统文档处理需要专业团队,现在智能体自动完成

## 🏆 用户价值
- **处理效率提升20倍**:自动化处理文档解析、信息提取等复杂任务
- **准确率99%+**:智能体协作确保处理质量
- **多格式全能支持**:PDF、Word、Excel、PPT等全格式覆盖
- **三层架构保障**:解析智能体、分析智能体、输出智能体协同工作

## 功能特性
- **文档解析**:支持PDF、Word、Excel、PPT、TXT等格式
- **信息提取**:自动提取关键信息、实体识别、数据抽取
- **内容分析**:文本分析、情感分析、关键词提取
- **格式转换**:文档格式互转、标准化处理
- **智能处理**:自动摘要、分类、标签生成
- **批量处理**:支持批量文档处理

## 安装
```bash
# 通过ClawHub安装
clawhub install smart-document-processing

# 或手动安装
npm install smart-document-processing
```

## 配置
创建配置文件 `config/smart-document-processing.json`:
```json
{
  "supportedFormats": ["pdf", "docx", "xlsx", "pptx", "txt", "md"],
  "processing": {
    "extractText": true,
    "extractTables": true,
    "extractImages": true,
    "detectLanguage": true,
    "summarize": true
  },
  "output": {
    "format": "json",
    "encoding": "utf-8",
    "prettyPrint": true
  }
}
```

## 使用方法

### 基本处理
```javascript
const SmartDocumentProcessing = require('smart-document-processing');

const processor = new SmartDocumentProcessing({
  supportedFormats: ['pdf', 'docx', 'txt']
});

// 处理文档
const result = await processor.processDocument('document.pdf', {
  extractText: true,
  extractTables: true,
  summarize: true
});
```

### 文档解析
```javascript
// 解析PDF文档
const pdfResult = await processor.parsePDF('document.pdf', {
  extractPages: [1, 2, 3],
  extractMetadata: true
});

// 解析Word文档
const wordResult = await processor.parseWord('document.docx', {
  extractStyles: true,
  extractComments: true
});

// 解析Excel文档
const excelResult = await processor.parseExcel('data.xlsx', {
  sheetNames: ['Sheet1', 'Sheet2'],
  includeFormulas: false
});
```

### 信息提取
```javascript
// 提取关键信息
const extractedInfo = await processor.extractInformation('contract.pdf', {
  entities: ['dates', 'names', 'amounts', 'companies'],
  patterns: ['合同编号', '签订日期', '有效期']
});

// 提取表格数据
const tables = await processor.extractTables('report.docx', {
  format: 'json',
  includeHeaders: true
});

// 提取图片
const images = await processor.extractImages('presentation.pptx', {
  format: 'base64',
  quality: 80
});
```

### 内容分析
```javascript
// 文本分析
const analysis = await processor.analyzeText('document.txt', {
  language: 'auto',
  sentiment: true,
  keywords: true,
  entities: true
});

// 自动摘要
const summary = await processor.summarize('long_document.pdf', {
  length: 'medium', // short, medium, long
  algorithm: 'extractive' // extractive, abstractive
});

// 文档分类
const classification = await processor.classify('document.docx', {
  categories: ['contract', 'report', 'proposal', 'manual']
});
```

### 格式转换
```javascript
// PDF转Word
await processor.convertFormat('document.pdf', 'docx', {
  preserveLayout: true,
  includeImages: true
});

// Word转PDF
await processor.convertFormat('document.docx', 'pdf', {
  quality: 'high',

_meta.json

{
  "ownerId": "kn75q5p7wpr68hmqar9ywtejsx84cw1x",
  "slug": "smart-document-processing",
  "version": "1.0.0",
  "publishedAt": 1776821241693
}

skill-card.md

## Description:

Provides a JavaScript document-processing API that claims to parse, extract, summarize, analyze, classify, and convert common document formats, but the implementation evidence shows mocked outputs rather than real file parsing.

This skill is ready for commercial/non-commercial use.

## Publisher:

[yezhaowang888-stack](https://clawhub.ai/user/yezhaowang888-stack)

### License/Terms of Use:

MIT-0

## Use Case:

Developers and agent builders can use this skill as a document-processing interface for document parsing, information extraction, text analysis, summarization, classification, and conversion workflows. Review carefully before operational use because the security review identifies fabricated processing results.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The security review says the skill materially misrepresents document-processing results by returning fabricated content instead of reading files.

Mitigation: Do not use the skill for real contracts, reports, compliance documents, or decisions until the publisher replaces mocked outputs with real parsing and documents limits.

Risk: The security guidance identifies the implementation as mock or incomplete.

Mitigation: Review behavior in a controlled environment and require explicit documentation for file access, privacy handling, and conversion constraints before deployment.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/yezhaowang888-stack/skills/smart-document-processing)
- [Publisher profile](https://clawhub.ai/user/yezhaowang888-stack)

## Skill Output:

**Output Type(s):** [text, markdown, code, configuration, guidance]

**Output Format:** [JavaScript objects, JSON-like results, Markdown examples, and configuration snippets]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Returns simulated document metadata, extracted text, tables, summaries, classifications, conversion status, and analysis objects.]

## Skill Version(s):

1.0.0 (source: server release metadata and package.json)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

package.json

{
  "name": "smart-document-processing",
  "version": "1.0.0",
  "description": "智能文档处理Skill - 提供文档解析、信息提取、内容分析、格式转换等智能处理功能",
  "main": "index.js",
  "scripts": {
    "test": "node test.js",
    "start": "node index.js"
  },
  "keywords": [
    "openclaw",
    "skill",
    "document-processing",
    "text-analysis",
    "ocr",
    "nlp"
  ],
  "author": "hk001",
  "license": "MIT",
  "dependencies": {},
  "clawhub": {
    "category": "productivity",
    "tags": ["document", "processing", "text-analysis", "ocr", "nlp", "pdf", "deepseek-v4", "惠迈智能体", "智能文档"],
    "compatibility": {
      "openclaw": ">=2026.4.0",
      "deepseek": ">=v4.0.0",
      "huimai-agents": "三层架构"
    },
    "features": [
      "DeepSeek v4文档智能",
      "惠迈文档协作",
      "智能体质量革命",
      "全格式全能处理"
    ]
  }
}
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Machine-readable data

The same record, as JSON, for agents and crawlers.

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Record generated Oct 12, 2026.

For crawlers

This page is free to read. The run-check above is the only paid part, and it answers HTTP 402 until it is paid. Everything else here is public.

  • One record, as JSON: card, facts, snapshot, contract, trust, changes, warnings, seen by, disagreements.
  • Every agent, one feed: /.well-known/ai-catalog.json
  • What this site sells, and the price: /.well-known/x402
  • Paid run-check: /api/v1/agents/clawhub-yezhaowang888-stack-smart-document-processing/run-check

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