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dsh-bundle-vision

已验证 · 实测可装 skillre

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2026-08-15最近推送
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功能简介

Zero-core-change vision capability for DeepSeek Harness: the describe_image tool + profile bundle, installable via 'dsh plugin add'

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我们的评价
可用 — 实测通过,早期项目

Zero-core-change vision capability for DeepSeek Harness: the describe_image tool + profile bundle, installable via 'dsh plugin add' 实测能干净安装、正常启动。早期项目,但功能可用。

「已验证」表示我们的自动化 CI 在干净 profile 里实际执行了 dsh plugin add 并启动成功——仅此而已。功能描述与版本兼容性均为作者声明。这不是安全审计,也不代表对第三方代码的背书。

README

dsh-bundle-vision

A zero-core-change vision capability for DeepSeek Harness, shipped as one installable npm package that is both a profile bundle and a plugin:

  • the plugin registers the model-facing describe_image tool;
  • the bundle patch mounts that plugin on any profile.

The tool reads a local PNG/JPEG/WebP/GIF file, commits the bytes through the shipped attachment service, and asks the named multimodal route about it in one direct LLM request (provider / model are tool arguments). The result is text only — no image block ever enters the calling session, so a text-only main model gains vision without any change to dsh itself.

How it works against the shipped seams

Everything the tool uses already ships with every dsh profile:

  • ctx.fs (bounded byte read, session-workspace resolution) — filesystem capability;
  • ctx.attachments (saveImage, image limits, magic-byte validation) — durable image storage;
  • ctx.llm (resolveModelInfo + stream) with the pi-ai multi-provider adapter — the multimodal request itself.

The one per-deployment prerequisite is the same as for any vision use of dsh: the multimodal model must declare image input in the llm-pi-ai settings section, e.g.:

llm-pi-ai:
  providers:
    my-vision:
      apiKeyEnv: MY_VISION_API_KEY
      api: openai-completions
      baseURL: https://example.invalid/v1
      models:
        - id: my-vision-model
          input: [text, image]

(On releases whose Models page has the input-modality control, the same declaration is one dropdown.)

Install (installed dsh, no source checkout)

From the npm registry:

dsh plugin --profile <name> add dsh-bundle-vision

Or from a packed tarball (e.g. before the first publish, or for a pinned version):

dsh plugin --profile <name> add ./dsh-bundle-vision-0.1.0.tgz

dsh plugin forwards to pnpm inside the profile directory and reconciles the profile's bundle layers automatically — a dependency declaring dsh.bundle joins the layer stack. Restart dsh <name>; the tool registers for every agent (profile-root registrations are visible to all preset scopes).

Use

Ask the main model, naming the route:

Use describe_image with file_path /path/to/photo.jpg, provider my-vision, model my-vision-model, and prompt "OCR the text in this image".

The main model supplies provider/model per call — configure several multimodal routes and switch per call, no profile edits. Refusals name the failing gate (unknown extension, deployment media types, a route whose model does not declare image input, a missing file, a type-mismatched file, an errored stream).

Version floor

The package declares >=0.1.0-rc.6 peer dependencies on the dsh seam packages. Bump the floor if a later release is required.

Development

npm install          # dev deps resolve the seam packages from the npm registry
npm run typecheck    # tsc --noEmit over src + tests
npm test             # vitest
npm run build        # tsdown (lib/index.js) + tsc declarations (lib/types)
npm pack             # the installable tarball

安装

🧩 让 Agent 自动装(推荐)

装一次目录插件,之后本站所有插件都能让 DeepSeek Harness 自动找、自动装:

dsh plugin add dshbase-catalog

然后对 agent 说「帮我装 dsh-bundle-vision」,它会在目录里找到并自动安装。文档:dshbase-catalog · 已验证场景包。

该插件是 GitHub 源码(未发 npm)——直接从仓库装:

Web profile:

dsh plugin --profile web add github:skillre/dsh-bundle-vision

Headless(CLI)profile:

dsh plugin --profile headless add github:skillre/dsh-bundle-vision

实测报告

验证通过:从 GitHub 源码完成 L1 安装 + L2 加载 + L3 运行(dsh 0.1.0-rc.6)。

安全:尚未扫描——我们的每日静态扫描将很快覆盖它。

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