Registry indexed
图片分析与识别,可分析本地图片、网络图片、视频、文件。适用于 OCR、物体识别、场景理解等。当用户发送图片或要求分析图片时必须使用此技能。
图片分析与识别,可分析本地图片、网络图片、视频、文件。适用于 OCR、物体识别、场景理解等。当用户发送图片或要求分析图片时必须使用此技能。
Source documentation, not instructions for this website. Review permissions before running any commands.
支持智谱 GLM-4V 和千问 Qwen-VL 两种视觉模型。
当用户发送图片或要求分析图片时,必须使用此技能,不要使用 PIL、pytesseract 等其他方法。
编辑 skills/image-analysis/scripts/config.json:
{
"default_model": "zhipu",
"zhipu": {
"api_key": "your-zhipu-api-key",
"model": "glm-4.6v-flash"
},
"qwen": {
"api_key": "your-qwen-api-key",
"model": "qwen3-vl-plus"
}
}
API Key 获取:
# 分析本地图片(最常用)
python3 skills/image-analysis/scripts/vision.py analyze --image 图片路径 --prompt "描述图片内容"
# 分析网络图片
python3 skills/image-analysis/scripts/vision.py analyze --image https://example.com/image.jpg --prompt "描述图片"
# 多图对比
python3 skills/image-analysis/scripts/vision.py analyze --image img1.jpg --image img2.jpg --prompt "对比差异"
# 指定模型
python3 skills/image-analysis/scripts/vision.py analyze --image image.jpg --prompt "描述图片" --model qwen
# 开启思考模式(仅智谱,提升准确度)
python3 skills/image-analysis/scripts/vision.py analyze --image image.jpg --prompt "详细分析" --thinking
# 视频分析
python3 skills/image-analysis/scripts/vision.py analyze --video video.mp4 --prompt "总结视频内容"
# JSON 输出
python3 skills/image-analysis/scripts/vision.py analyze --image image.jpg --prompt "描述图片" --json
用户发送图片后,系统下载到本地(如 data/temp/images/xxx.jpg):
# 图片描述
python3 skills/image-analysis/scripts/vision.py analyze --image data/temp/images/xxx.jpg --prompt "描述这张图片的内容"
# OCR 识别
python3 skills/image-analysis/scripts/vision.py analyze --image data/temp/images/xxx.jpg --prompt "提取图片中的所有文字信息"
# 物体定位(开启思考模式)
python3 skills/image-analysis/scripts/vision.py analyze --image data/temp/images/xxx.jpg --prompt "找出物体位置,返回坐标" --thinking
| 场景 | 推荐 |
|---|---|
| 简单描述 | 任意 |
| 复杂推理、物体定位 | 智谱 + --thinking |
| 高精度识别、文档解析 | 千问 |
| 成本敏感 | 智谱(免费) |
name: image-analysis description: 图片分析与识别,可分析本地图片、网络图片、视频、文件。适用于 OCR、物体识别、场景理解等。当用户发送图片或要求分析图片时必须使用此技能。 homepage: https://github.com/countbot-ai/CountBot
---
name: image-analysis
description: 图片分析与识别,可分析本地图片、网络图片、视频、文件。适用于 OCR、物体识别、场景理解等。当用户发送图片或要求分析图片时必须使用此技能。
homepage: https://github.com/countbot-ai/CountBot
---
# 图片分析与识别
支持智谱 GLM-4V 和千问 Qwen-VL 两种视觉模型。
当用户发送图片或要求分析图片时,必须使用此技能,不要使用 PIL、pytesseract 等其他方法。
## 配置
编辑 `skills/image-analysis/scripts/config.json`:
```json
{
"default_model": "zhipu",
"zhipu": {
"api_key": "your-zhipu-api-key",
"model": "glm-4.6v-flash"
},
"qwen": {
"api_key": "your-qwen-api-key",
"model": "qwen3-vl-plus"
}
}
```
API Key 获取:
- 智谱(免费):https://open.bigmodel.cn/
- 千问:https://help.aliyun.com/zh/model-studio/get-api-key
## 命令行调用
```bash
# 分析本地图片(最常用)
python3 skills/image-analysis/scripts/vision.py analyze --image 图片路径 --prompt "描述图片内容"
# 分析网络图片
python3 skills/image-analysis/scripts/vision.py analyze --image https://example.com/image.jpg --prompt "描述图片"
# 多图对比
python3 skills/image-analysis/scripts/vision.py analyze --image img1.jpg --image img2.jpg --prompt "对比差异"
# 指定模型
python3 skills/image-analysis/scripts/vision.py analyze --image image.jpg --prompt "描述图片" --model qwen
# 开启思考模式(仅智谱,提升准确度)
python3 skills/image-analysis/scripts/vision.py analyze --image image.jpg --prompt "详细分析" --thinking
# 视频分析
python3 skills/image-analysis/scripts/vision.py analyze --video video.mp4 --prompt "总结视频内容"
# JSON 输出
python3 skills/image-analysis/scripts/vision.py analyze --image image.jpg --prompt "描述图片" --json
```
## AI 调用场景
用户发送图片后,系统下载到本地(如 `data/temp/images/xxx.jpg`):
```bash
# 图片描述
python3 skills/image-analysis/scripts/vision.py analyze --image data/temp/images/xxx.jpg --prompt "描述这张图片的内容"
# OCR 识别
python3 skills/image-analysis/scripts/vision.py analyze --image data/temp/images/xxx.jpg --prompt "提取图片中的所有文字信息"
# 物体定位(开启思考模式)
python3 skills/image-analysis/scripts/vision.py analyze --image data/temp/images/xxx.jpg --prompt "找出物体位置,返回坐标" --thinking
```
## 模型选择
| 场景 | 推荐 |
|------|------|
| 简单描述 | 任意 |
| 复杂推理、物体定位 | 智谱 + `--thinking` |
| 高精度识别、文档解析 | 千问 |
| 成本敏感 | 智谱(免费) |
## 注意事项
- 本地图片自动转 Base64,支持 jpg/png/gif/webp/bmp
- 智谱图片限制 5MB,像素不超过 6000x6000
- 千问不支持同时处理图片、视频和文件
- 思考模式会增加响应时间但提升准确度
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
76/100
Strong
Trust
59/100
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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}Listing source
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Audit
77/100
Needs review
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.