插件介绍
为纯文本模型"看图“设计更好的视觉工具箱和技能,支持多图理解,图片问答,前端UI还原、GUI 自动化等,并可选无缝接入多个主流agent,直接识别粘贴图片| A vision toolkit and skill designed for text-only llms — image Q&A, long-screenshot OCR, frontend UI restoration, and GUI automation, with optional seamless integration for Codex, Claude Code, Pi, Oh My Pi, and OpenCode
项目详情摘要
agent-vision-toolkit What it thinks is what it sees — give any text-only coding agent eyes: image Q&A, long-screenshot OCR, frontend UI restoration, and GUI automation, as a vision toolkit plus a skill, with optional drop-in integration for Codex, Claude Code, Pi, Oh My Pi, and OpenCode.** 🎯 An agent's vision capability doesn't have to live in the model — it can live in the harness. 🌐 **中文** | **English** If your agent already runs on a text-only model such as DeepSeek but is held back by the lack of multimodality — unable to see images, with every attempt to use an image tool blocked by the system — this repository provides tools, skills, and proxy integrations that let text-only models handle visual tasks on equal or even better footing. The goal is to make the experience of using a text-model agent as seamless as using a multimodal one, and ultimately let a tool-equipped text-model agent outperform a native multimodal agent that does not use this toolkit and its methods. This repository provides two kinds of components: 1. **Vision tool CLIs** — multiple CLIs, plus a skill that teaches the agent when to use each one. Any agent that can invoke a shell can use them. 2. **Seamless integration** *(optional upgrade)* — a transparent local proxy and single-file native plugins, so **images we paste and the agent's built-in image tools both work seamlessly**, with no extra tool installation or additional prompting. All code has been verified in real Codex + DeepSeek sessions, and the same pipeline has been live-verified end-to-end in Claude Code, Pi, Oh My Pi, and OpenCode. If this project helps you or gives you some inspiration, feel free to star🌟 & fork. ❤️ Sponsor Want to sponsor this project? See FUNDING.md or email [email protected]. Click to collapse Thanks to AIH
摘自项目公开 README,可能随上游仓库更新。安装方法
建议先在测试 Profile 中安装,并检查权限、安装脚本和依赖。
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Anionex/agent-vision-toolkit
使用前检查
- 确认项目符合 DSH bundle 规范,而不只是相关仓库。
- 阅读许可证和安装脚本,检查网络、文件及执行权限。
- 备份配置,并确保插件能够安全卸载或回滚。