Plugin directory / Developer / dsh-bundle-vision
dsh-bundle-vision
Verified · install-tested on dsh skillre
What it does
Zero-core-change vision capability for DeepSeek Harness: the describe_image tool + profile bundle, installable via 'dsh plugin add'
Works — verified, early-stage project
Zero-core-change vision capability for DeepSeek Harness: the describe_image tool + profile bundle, installable via 'dsh plugin add' It installs cleanly and boots without issues in our testing. It's early-stage but functional.
“Verified” means our automated CI actually ran dsh plugin add in a clean profile and it booted — nothing more. Feature descriptions and version compatibility are the author’s claims. This is not a security audit and not an endorsement of third-party code.
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_imagetool; - 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, providermy-vision, modelmy-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
Install
Install the catalog once, then DeepSeek Harness can find and install any plugin from this site automatically:
dsh plugin add dshbase-catalog Then say "install dsh-bundle-vision for me" — your agent finds it in the directory and installs it. Docs: dshbase-catalog · verified packs.
This plugin is GitHub source (not published to npm) — install it straight from the repo:
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 Test report
Verified: L1 install + L2 load + L3 runtime from GitHub source on dsh 0.1.0-rc.6.