
Image Analysis
This routes image analysis requests to either Zhipu's GLM-4V or Qwen's VL models instead of using local libraries like PIL or pytesseract. You point it at local files, URLs, or even videos, and it handles the API calls and base64 encoding. The thinking mode flag on Zhipu is worth knowing about for complex tasks like object localization where you need better reasoning. It's clearly built for a Chinese-language bot framework (CountBot) but the command structure is straightforward. Zhipu offers a free tier which makes it practical for prototyping, while Qwen apparently handles document parsing better. The multi-image comparison feature is handy for spot-the-difference tasks.
- skills.sh installs
- 289
- GitHub stars
- 784
- last updated
- Aug 21, 2026
Install
$ npx -y skills add countbot-ai/countbot --skill image-analysis --agent claude-codeInstalls into .claude/skills of the current project.
Files
图片分析与识别
支持智谱 GLM-4V 和千问 Qwen-VL 两种视觉模型。
当主模型无法直接查看图片、需要独立视觉模型复核,或需要专门的 OCR 时使用此技能。多模态主模型已经能直接看到附件时,不要重复调用。
配置
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:
命令行调用
# 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
Sponsors
Details
- Repository
- github.com/countbot-ai/countbot
- Category
- Office & Documents
- License
- MIT
- First seen
- Jun 3, 2026