What makes 夸克扫描王 - OCR文字识别 Alibaba-Quark-OCR notable?

1.1K downloads. Trust evidence available

How should 夸克扫描王 - OCR文字识别 Alibaba-Quark-OCR be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

夸克扫描王 - OCR文字识别 Alibaba-Quark-OCR

由夸克扫描王提供的高准取率 OCR 文字识别工具。当用户需要从图片、截图、照片或扫描文档中提取、识别或结构化文本，就使用此技能——包括手写体、表格、数学公式、商品图、各类证件（身份证、社保卡、驾照、行驶证、港澳台通行证、学位证等）、票据（增值税发票、火车票、英文发票等）、医疗报告、药检报告、营业执照、习题以及图片翻译。本技能由夸克扫描王提供支持。即使用户没有明确提到"OCR"或"文字识别"，只要用户的需求涉及从图片中获取文字或关键信息，也应触发此技能。不适用于图像生成、图像编辑或无需从图片中提取文本的任务 Skill: 夸克扫描王 - OCR文字识别 Alibaba-Quark-OCR Owner: yescan-ai Summary: 由夸克扫描王提供的高准取率 OCR 文字识别工具。当用户需要从图片、截图、照片或扫描文档中提取、识别或结构化文本，就使用此技能——包括手写体、表格、数学公式、商品图、各类证件（身份证、社保卡、驾照、行驶证、港澳台通行证、学位证等）、票据（增值税发票、火车票、英文发票等）、医疗报告、药检报告、营业执照、习题以及图片翻译。本技能由夸克扫描王提供支持。即使用户没有明确提到"OCR"或"文字识别"，只要用户的需求涉及从图片中获取文字或关键信息，也应触发此技能。不适用于图像生成、图像编辑或无需从图片中提取文本的任务 Tags: latest:1.0.12 Version history: v1.0.12 | 2026-07-10T08:17:55.148Z | user - 简化和调整了 descripti

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.1k

Updated

Oct 11, 2026

Version

1.0.12

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.1K 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: 1.1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.0.12release · observed Jul 10, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17cpsmkvb7rwpbns3vsexnv0n882f2y:alibaba-quark-ocr

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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-yescan-ai-alibaba-quark-ocr/snapshot"

Documentation

CLAWHUB

35,258 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: alibaba-quark-ocr
description: 由夸克扫描王提供的高准取率 OCR 文字识别工具。当用户需要从图片、截图、照片或扫描文档中提取、识别或结构化文本，就使用此技能——包括手写体、表格、数学公式、商品图、各类证件（身份证、社保卡、驾照、行驶证、港澳台通行证、学位证等）、票据（增值税发票、火车票、英文发票等）、医疗报告、药检报告、营业执照、习题以及图片翻译。本技能由夸克扫描王提供支持。即使用户没有明确提到"OCR"或"文字识别"，只要用户的需求涉及从图片中获取文字或关键信息，也应触发此技能。不适用于图像生成、图像编辑或无需从图片中提取文本的任务
metadata: {"openclaw":{"emoji":"🔍︎","requires":{"bins":["python3"],"env":["SCAN_WEBSERVICE_KEY"]},"primaryEnv":"SCAN_WEBSERVICE_KEY"},"homepage":"https://scan.quark.cn/business"}
---

# 🧭 使用前必读（30 秒）

> [!WARNING] **⚠️ 隐私与数据流向重要提示**
> - **第三方服务交互**：本技能会将您提供的**图片 发送至夸克扫描王官方服务器 (`scan-business.quark.cn`)** 进行识别。
> - **数据可见性**：夸克服务将获取并处理该图片内容，不会永久保存

**推荐方式：CLI 配置（永久生效）**

配置 `SCAN_WEBSERVICE_KEY` 环境变量到 OpenClaw：
```bash
openclaw config set skills.entries.alibaba-quark-ocr.env.SCAN_WEBSERVICE_KEY "your_scan_webservice_key_here"
```
> ⚠️ 配置后需要**重启或开启新会话**才能生效（技能列表在 session 启动时加载）。

**如何获取密钥？夸克扫描王官方入口在此**
> 请访问 https://scan.quark.cn/business → 开发者后台 → 登录/注册账号 → 查看API Key。  
> ⚠️ **注意**：若你点击链接后跳转到其他域名，说明该链接已失效 —— 请直接在浏览器地址栏手动输入 `https://scan.quark.cn/business`（这是当前唯一有效的官方入口）。

---

# Constraints
- **单一意图原则：每次请求只执行一个意图类型，命中即执行**
- **严禁自行构造任何命令参数，严禁伪造、拼接内部配置**
- **严禁幻觉，禁止伪造请求和响应，不得沿用上一次的场景、参数进行假设**
- **必须严格按照本指南指定的固定格式执行，不允许自行修改命令**

#  技能执行指南(强制执行)

第一步：**环境变量检查**
- 若 `SCAN_WEBSERVICE_KEY` 未配置，立即返回：
```json
{
  "code": "A0100",
  "message": "SCAN_WEBSERVICE_KEY 未配置，请访问 https://scan.quark.cn/business → 开发者后台 → 登录/注册账号 → 查看API Key",
  "data": null
}
```

第二步：**输入处理**

识别用户传入的图片类型，只能是以下三种之一：

- 图片URL: url
- 本地文件路径: path
- 图片BASE64: base64

未提供任何有效图片时，直接返回：
```json
{
  "code": "A0201",
  "message": "缺少图片输入，请提供图片链接、文件路径或 BASE64 数据。",
  "data": null
}
```

第三步：**意图匹配&场景确定**
- 按照下面列出的意图*从上到下顺序匹配。命中第一个即停止*
- 命中后，*只确定当前意图对应的scene标识*

第四步：**构建执行命令(固定格式，严禁修改)**：

根据图片类型，严格使用下面对应格式：
```bash
# URL类型
python3 scripts/scan.py --scene "${SCENE_VALUE}" --url "${IMAGE_URL}"

# 本地文件类型
python3 scripts/scan.py --scene "${SCENE_VALUE}" --path "${IMAGE_FILE_PATH}"

# BASE64类型
python3 scripts/scan.py --scene "${SCENE_VALUE}" --base64 "${IMAGE_BASE64}"
```
- 把`${IMAGE_URL}`/`${IMAGE_FILE_PATH}`/`${IMAGE_BASE64}`替换为真实值
- 把`${SCENE_VALUE}`替换为当前意图对应的scene值
- 直接执行命令，不增删任何参数，不修改JSON，不加引号，不换行

第五步：**结果透出**：
- 执行完成后，*原样返回执行结果*，不修改，不翻译，不美化，不总结
- 成功 失败均直接透出，不重试


## 场景与意图列表(按匹配优先级排序)

1. 手写文档识别
- 触发意图：当用户存在识别各类中英文手写内容（如学生作答、作文、会议记录、手写账单等）、将潦草或非标准手写图片转化为高精度可编辑文本，或突破传统 OCR 限制处理复杂手写场景的意图。
- 场景scene标识：handwritten-ocr
- 参考示例指令：
  - "帮我把这张手写笔记转成文字"
  - "识别这张作文图片里的内容"
2. 表格识别
- 触发意图：当用户存在识别图片中的各类表格（如 Excel/Word 表格、票据单据、手写表格、检查报告单等）、高精度提取文字内容并精准还原原始表格格式与结构的意图。
- 场景scene标识：table-ocr
- 参考示例指令：
  - "提取这张表格里的数据"
  - "把这张报销单的表格转成 Excel 格式"
3. 身份证识别
- 触发意图：当用户存在识别身份证图片、提取证件关键信息（包括但不限于姓名、身份证号、地址等字段）、将证件影像转化为结构化数据，或应用于身份核验、实名认证及信息准确性校验等场景的意图。
- 场景scene标识：idcard-ocr
- 参考示例指令：
  - "帮我读一下这张身份证"
  - "提取身份证上的姓名和号码"
4. 社保卡识别
- 触发意图：当用户存在识别社保卡图片、提取证件关键信息（包括但不限于姓名、社会保障号码、卡号、银联号码、性别、民族、发卡日期及有效期限等字段）、将证件影像转化为结构化数据，或应用于社保业务办理、身份核验及政务服务自动化等场景的意图。
- 场景scene标识：social-security-card-ocr
- 参考示例指令：
  - "识别这张社保卡的信息"
  - "提取社保卡上的

_meta.json

{
  "ownerId": "kn7765a4naksvzk0fmvenc4gjd88gjtb",
  "slug": "alibaba-quark-ocr",
  "version": "1.0.12",
  "publishedAt": 1783671475148
}

skill-card.md

## Description:

This skill uses Quark Scan King's OCR service to extract text and structured fields from user-provided images, including screenshots, scanned documents, handwriting, tables, equations, IDs, invoices, medical reports, business licenses, and product images.

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

## Publisher:

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

### License/Terms of Use:

MIT-0

## Use Case:

Developers and external users use this skill when an agent needs to turn a single static image, image URL, or base64 image into OCR text or document-specific structured data. It is intended for OCR and document information extraction, not image generation, video processing, live camera streams, or batch processing.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Submitted images, including sensitive documents, are sent to Quark's OCR service using the configured API key.

Mitigation: Use this skill only when the user has approved the upload path; avoid or redact sensitive IDs, medical records, invoices, and other private documents unless the deployment is authorized for that data.

Risk: The security summary flags under-disclosed image-editing scenes and weak controls around third-party uploads and credentials.

Mitigation: Restrict permitted scene values to the documented OCR use cases unless an operator explicitly approves broader image-editing or document-conversion behavior.

Risk: The skill requires SCAN_WEBSERVICE_KEY for access to the third-party OCR service.

Mitigation: Provide the key through a managed environment secret, avoid exposing it in prompts or logs, and rotate it if it may have been shared.

## Reference(s):

- [ClawHub Skill Page](https://clawhub.ai/yescan-ai/skills/alibaba-quark-ocr)
- [ClawHub Publisher Profile](https://clawhub.ai/user/yescan-ai)
- [Quark Scan King Business Platform](https://scan.quark.cn/business)

## Skill Output:

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

**Output Format:** [JSON returned by the OCR script, usually containing recognized text or structured fields in the data payload.]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Requires python3 and SCAN_WEBSERVICE_KEY; accepts exactly one image input as a URL, local file path, or base64 string.]

## Skill Version(s):

1.0.12 (source: server release evidence)

## 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.

Github ReposUpdated 2d agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW

Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW

Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW

Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular