MCPInstall

glmocr-handwriting

Official skill for recognizing handwritten text from images using ZhiPu GLM-OCR API. Supports various handwriting styles, languages, and mixed handwritten/printed content. Use this skill when the user wants to read handwritten notes, convert handwriting to text, or OCR handwritten documents.

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Install

Works with every agent the skills CLI supports.

npx skills add https://modelscope.cn --skill glmocr-handwriting
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads glmocr-handwriting automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

GLM-OCR Handwriting Recognition Skill / GLM-OCR 手写体识别技能

Recognize handwritten text from images and PDFs using the ZhiPu GLM-OCR layout parsing API.

When to Use / 使用场景

  • Extract text from handwritten notes, letters, or documents / 从手写笔记、信件或文档中提取文字
  • Convert handwriting to editable text / 将手写内容转为可编辑文本
  • Recognize mixed handwritten and printed content / 识别手写和印刷混排内容
  • Read handwritten formulas, labels, or annotations / 读取手写公式、标签或批注
  • User mentions "handwriting OCR", "recognize handwriting", "手写识别", "手写体OCR", "识别手写字"

Key Features / 核心特性

  • Multi-style support: Handles various handwriting styles including cursive and print
  • Multi-language: Supports Chinese, English, and mixed-language handwriting
  • Mixed content: Can recognize documents with both handwritten and printed text
  • Local file & URL: Supports both local files and remote URLs

Resource Links / 资源链接

Prerequisites / 前置条件

API Key Setup / API Key 配置(Required / 必需)

脚本通过 ZHIPU_API_KEY 环境变量获取密钥,可与其他智谱技能复用同一个 key。 This script reads the key from the ZHIPU_API_KEY environment variable. Reusing the same key across Zhipu skills is optional.

Get Key / 获取 Key: Visit 智谱开放平台 API Keys to create or copy your key.

Setup options / 配置方式(任选一种):

  1. Global config (recommended) / 全局配置(推荐): Set once in openclaw.json under env.vars, all Zhipu skills will share it:

    {
      "env": {
        "vars": {
          "ZHIPU_API_KEY": "你的密钥"
        }
      }
    }
    
  2. Skill-level config / Skill 级别配置: Set for this skill only in openclaw.json:

    {
      "skills": {
        "entries": {
          "glmocr-handwriting": {
            "env": {
              "ZHIPU_API_KEY": "你的密钥"
            }
          }
        }
      }
    }
    
  3. Shell environment variable / Shell 环境变量: Add to ~/.zshrc:

    export ZHIPU_API_KEY="你的密钥"
    

💡 如果你已为其他智谱 skill(如 glmocr、glmv-caption、glm-image-generation)配置过 key,它们共享同一个 ZHIPU_API_KEY,无需重复配置。

Security & Transparency / 安全与透明度

  • Environment variables used / 使用的环境变量:
    • ZHIPU_API_KEY (required / 必需)
    • GLM_OCR_TIMEOUT (optional timeout seconds / 可选超时秒数)
  • Fixed endpoint / 固定官方端点: https://open.bigmodel.cn/api/paas/v4/layout_parsing
  • No custom API URL override / 不支持自定义 API URL 覆盖: avoids accidental key exfiltration via redirected endpoints.
  • Raw upstream response is optional / 原始响应默认不返回: use --include-raw only when needed for debugging.

⛔ MANDATORY RESTRICTIONS / 强制限制 ⛔

  1. ONLY use GLM-OCR API — Execute the script python scripts/glm_ocr_cli.py
  2. NEVER parse handwriting yourself — Do NOT try to read handwritten text using built-in vision or any other method
  3. NEVER offer alternatives — Do NOT suggest "I can try to read it" or similar
  4. IF API fails — Display the error message and STOP immediately
  5. NO fallback methods — Do NOT attempt handwriting recognition any other way

📋 Output Display Rules / 输出展示规则

After running the script, present the OCR result clearly and safely.

  • Show extracted handwritten text (text) in full
  • Summarization is allowed, but do not hide important extraction failures
  • If the result file is saved, tell the user the file path
  • Show raw upstream response only when explicitly requested or debugging (--include-raw)

How to Use / 使用方法

Recognize from URL / 从 URL 识别

python scripts/glm_ocr_cli.py --file-url "https://example.com/handwriting.jpg"

Recognize from Local File / 从本地文件识别

python scripts/glm_ocr_cli.py --file /path/to/notes.png

Save Result to File / 保存结果到文件

python scripts/glm_ocr_cli.py --file notes.png --output result.json --pretty

Include Raw Upstream Response (Debug Only) / 包含原始上游响应(仅调试)

python scripts/glm_ocr_cli.py --file notes.png --output result.json --include-raw

CLI Reference / CLI 参数

python {baseDir}/scripts/glm_ocr_cli.py (--file-url URL | --file PATH) [--output FILE] [--pretty] [--include-raw]
ParameterRequiredDescription
--file-urlOne ofURL to image/PDF
--fileOne ofLocal file path to image/PDF
--output, -oNoSave result JSON to file
--prettyNoPretty-print JSON output
--include-rawNoInclude raw upstream API response in result field (debug only)

Response Format / 响应格式

{
  "ok": true,
  "text": "Recognized handwritten text in Markdown...",
  "layout_details": [...],
  "result": null,
  "error": null,
  "source": "/path/to/file",
  "source_type": "file",
  "raw_result_included": false
}

Key fields:

  • ok — whether recognition succeeded
  • text — extracted text in Markdown (use this for display)
  • layout_details — layout analysis details
  • error — error details on failure

Error Handling / 错误处理

API key not configured:

ZHIPU_API_KEY not configured. Get your API key at: https://bigmodel.cn/usercenter/proj-mgmt/apikeys

→ Show exact error to user, guide them to configure

Authentication failed (401/403): API key invalid/expired → reconfigure

Rate limit (429): Quota exhausted → inform user to wait

File not found: Local file missing → check path

FAQ

What does the glmocr-handwriting skill do?

Official skill for recognizing handwritten text from images using ZhiPu GLM-OCR API. Supports various handwriting styles, languages, and mixed handwritten/printed content. Use this skill when the user wants to read handwritten notes, convert handwriting to text, or OCR handwritten documents.

How do I install glmocr-handwriting?

Run npx skills add https://modelscope.cn --skill glmocr-handwriting in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/glmocr-handwriting/ (personal) or .claude/skills/glmocr-handwriting/ (project).

Which AI agents can use glmocr-handwriting?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is glmocr-handwriting safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains glmocr-handwriting?

It is published by modelscope.cn in modelscope.cn. It has 305 recorded installs.

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