精选
为什么选中它
待人工精选——以下事实来自源码仓库。
它能做什么
DeepSeek web vision bridge plugin for DeepSeek Harness (DSH)
适合谁
想用 DSH 获得这项能力的用户;装前建议先看源码和文档。
风险提示
- 未发现明显风险信号;安装前仍建议查看源码。
DeepSeek web vision bridge plugin for DeepSeek Harness (DSH)
待人工精选——以下事实来自源码仓库。
DeepSeek web vision bridge plugin for DeepSeek Harness (DSH)
想用 DSH 获得这项能力的用户;装前建议先看源码和文档。
dsh plugin --profile web add github:Cheng-cheng9669/dsh-deepseek-vision 作者没有声明支持的平台。
deepseek_vision tool, which calls the local deepseek-vision-cli (browser automation driving chat.deepseek.com's vision mode) and returns the image description as text to the model. ## Tool - deepseek_vision(image, prompt?) - image: absolute path to a local image (PNG/JPG/WebP/GIF; HEIC is not supported) - prompt: optional question or analysis request for the image ## Installation bash dsh plugin --profile web add D:/Dsh/tools/dsh-deepseek-vision Or use the release tarball: bash dsh plugin --profile web add dsh-deepseek-vision-0.0.1.tgz ## First login DeepSeek web vision requires a web login session. The current web UI uses password / third-party login, so the recommended way is the manual login helper: powershell py -3.13 D:\Dsh\tools\deepseek-vision-cli\dsv_manual_login.py It opens an Edge window to the DeepSeek login page. After you log in manually, the helper saves the token to D:\Dsh\.cache\dsv_token. ### Token login (alternative) If you already have a DeepSeek web session in your normal browser, you can copy the token directly: 1. Open https://chat.deepseek.com and log in. 2. Press F12 → Application → Local Storage → https://chat.deepseek.com. 3. Find userToken, copy its value field. 4. Save it to D:\Dsh\.cache\dsv_token (no quotes, no newline): powershell [IO.File]::WriteAllText( 'D:\Dsh\.cache\dsv_token', 'PASTE_TOKEN_HERE', (New-Object Text.UTF8Encoding($false)) ) The token is only stored locally in D:\Dsh\.cache\dsv_token; it is never committed to this repository. ## Configuration Default configuration for this machine: - pythonCommand: py - pythonVersion: -3.13 - dsvScript: D:/Dsh/tools/deepseek-vision-cli/dsv.py - timeoutMs: 180000 - maxOutputChars: 20000 These can be overridden in a profile patch. ## Security notes - The tool only accepts local file paths and invokes the external CLI through the DSH subprocess service with an argv array, never through a shell. - Images are sent to DeepSeek's web endpoint; this is not local recognition. - This relies on non-official web interfaces and may be subject to risk control. Use a secondary account and keep usage low-frequency. - Static security audit reports critical for spawning a subprocess; this is inherent to wrapping an external CLI. The code has been manually reviewed: it only runs the fixed dsv.py, with no command concatenation or extra exfiltration. ## License MIT不看 Star,人工一条条挑的。
把 DSH 的 settings.yaml 做成可视化看板:所有已注册的 settings namespace——包括官方界面从未覆盖的第三方插件配置——都渲染成可编辑表单。项目还早,但方向很对:告别手改 YAML。
给 DSH 的 DIY 轨迹可视化:把 agent 的计划与执行画成图,不用翻原始日志也能看清它在干嘛。项目还早,但补上了「一眼看懂 agent 在做什么」这个真实缺口。
从 Claude Code / Codex 把活派给 DSH:在宿主内拉起带分级预设的 DSH agent 会话,看原生子代理进度,还能借它的多模态桥给纯文本的 DSH 补上视觉和生图。编排型插件,把 DSH 变成其他编码 agent 的后端。