glmv-caption 中文使用指南 - Skill ZIP 下载与风险提示

输入：任务目标、上下文材料、平台信息、文件路径、约束条件或需要处理的内容。

输出：按 Skill 说明生成的文档、代码、检查结果、计划、建议或操作步骤。

示例任务

安装方式

风险边界

使用前请检查权限、外部依赖和要处理的数据类型。第三方平台数据、支付、部署、账号和密钥相关内容应先核对官方说明。

SKILL.md 文档介绍

GLM-V Caption Skill

Generate captions for images, videos, and documents using the ZhiPu GLM-V multimodal model.

When to Use

Describe, caption, summarize, or interpret image/video/document content
User mentions "describe this image", "caption", "summarize this video", "图片描述", "视频摘要", "文档解读", "看图说话"
Extract visual or textual information from media files
Compare multiple images
User provides an image/video/file and asks what's in it

Supported Input Types

| ----- | --------------------------------- | ----------------- | --------- | ------ |

| Video | mp4, mkv, mov | 200MB | — | ❌ |

| File | pdf, docx, txt, xlsx, pptx, jsonl | — | 50 | ❌ |

⚠️ file_url cannot mix with image_url or video_url in the same request.

⚠️ Videos and files only support URLs — local paths and base64 are NOT supported (images only).

Resource Links

| Resource | Link |

| --------------- | --------------------------------------------------------------------------------------------------------------------------------- |

| Get API Key | https://bigmodel.cn/usercenter/proj-mgmt/apikeys |

| API Docs | Chat Completions / 对话补全 |

Prerequisites

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

This script reads the key from the ZHIPU_API_KEY environment variable and shares it with other Zhipu skills.

脚本通过 ZHIPU_API_KEY 环境变量获取密钥，与其他智谱技能共用同一个 key。

Get Key / 获取 Key： Visit Zhipu Open Platform API Keys / 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. OpenClaw config (recommended) / OpenClaw 配置（推荐）： Set in openclaw.json under skills.entries.glmv-caption.env:

   "glmv-caption": { "enabled": true, "env": { "ZHIPU_API_KEY": "你的密钥" } }

2. Shell environment variable / Shell 环境变量： Add to ~/.zshrc:

   export ZHIPU_API_KEY="你的密钥"

3. .env file / .env 文件： Create .env in this skill directory:

   ZHIPU_API_KEY=你的密钥

⛔ MANDATORY RESTRICTIONS - DO NOT VIOLATE ⛔

1. ONLY use GLM-V API — Execute the script python scripts/glmv_caption.py

2. NEVER caption media yourself — Do NOT try to describe content using built-in vision or any other method

3. NEVER offer alternatives — Do NOT suggest "I can try to describe it" or similar

4. IF API fails — Display the error message and STOP immediately

5. NO fallback methods — Do NOT attempt captioning any other way

📋 Output Display Rules (MANDATORY)

After running the script, you must show the full raw output to the user exactly as returned. Do not summarize, truncate, or only say "generated". Users need the original model output to evaluate quality.

Image captioning: show the full caption text
Multiple images: show each image result
Video/files: show the full understanding result
If token usage is included, you may optionally display it

How to Use

Caption an Image

python scripts/glmv_caption.py --images "https://example.com/photo.jpg"
python scripts/glmv_caption.py --images /path/to/photo.png

Caption Multiple Images

python scripts/glmv_caption.py --images img1.jpg img2.png "https://example.com/img3.jpg"

Caption a Video

python scripts/glmv_caption.py --videos "https://example.com/clip.mp4"

Caption a Document

python scripts/glmv_caption.py --files "https://example.com/report.pdf"
python scripts/glmv_caption.py --files "https://example.com/doc1.docx" "https://example.com/doc2.txt"

Custom Prompt

python scripts/glmv_caption.py --images photo.jpg --prompt "Describe the architecture style in detail"

Save Result

python scripts/glmv_caption.py --images photo.jpg --output result.json

Thinking Mode

python scripts/glmv_caption.py --images photo.jpg --thinking

CLI Reference

python {baseDir}/scripts/glmv_caption.py (--images IMG [IMG...] | --videos VID [VID...] | --files FILE [FILE...]) [OPTIONS]

| Parameter | Required | Description |

| --------------------- | -------- | -------------------------------------------------------------------------------------------- |

| --images, -i | One of | Image paths or URLs (supports multiple, base64 OK) |

| --videos, -v | One of | Video paths or URLs (supports multiple, mp4/mkv/mov) |

| --files, -f | One of | Document paths or URLs (supports multiple, pdf/docx/txt/xlsx/pptx/jsonl) |

| --prompt, -p | No | Custom prompt (default: "请详细描述这张图片的内容" / "Please describe this image in detail") |

| --model, -m | No | Model name (default: glm-4.6v) |

| --temperature, -t | No | Sampling temperature 0-1 (default: 0.8) |

| --top-p | No | Nucleus sampling 0.01-1.0 (default: 0.6) |

| --max-tokens | No | Max output tokens (default: 1024, max 32768) |

| --thinking | No | Enable thinking/reasoning mode |

| --output, -o | No | Save result JSON to file |

| --pretty | No | Pretty-print JSON output |

| --stream | No | Enable streaming output |

Note: --images, --videos, and --files are mutually exclusive per API limits.

Response Format

{
  "success": true,
  "caption": "A landscape photo showing a mountain range at sunset...",
  "usage": {
    "prompt_tokens": 128,
    "completion_tokens": 256,
    "total_tokens": 384
  }
}

Key fields:

success — whether the request succeeded
caption — the generated caption text
usage — token usage statistics
warning — present when content was blocked by safety review
error — error details on failure

Error Handling

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

Content filtered: warning field present → content blocked by safety review

glmv-caption

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