deepseekplugins

DeepSeek Harness plugin

dsh-image-reader

Give DeepSeek Harness agents the ability to read images directly: a model-facing read_image tool that answers questions about an image through any OpenAI-compatible vision endpoint.

Vision & Multimodal
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Source facts

Repository
zcXie777/dsh-image-reader
Latest update
Aug 14, 2026
Category
Vision & Multimodal
GitHub stars
3
Format
plugin
Catalog evidence
Upstream dsh.bundle evidence
Evidence path
package.json#dsh.bundle
Checked against
0.1.0-rc.8
Upstream check date
2026-08-20

This evidence comes from the upstream catalog. This site has not installed, run, or security-reviewed the plugin.

Install

Start with a prompt that asks an agent to review the GitHub repository and source. Switch to the command if you want to install it yourself.

Copy this prompt into DSH, Codex, or another agent and ask it to review the GitHub repository and source first.

Do not install or run any commands yet. Read this plugin's GitHub repository, README, and relevant source code. Then answer the questions below clearly and directly so I can decide whether it fits my needs:

1. What is this plugin, and what problem does it solve?
2. Who is it for, and what are its typical use cases?
3. How is it used after installation? Include one minimal example.
4. What known limitations or privacy, security, compatibility, or maintenance risks does it have?
5. Give a clear recommendation: recommend, conditionally recommend, or do not recommend, with reasons.

Distinguish statements documented by the repository, inferences from source code, and unknowns. If evidence is insufficient, say so explicitly. Do not guess or simply repeat the README.

GitHub: https://github.com/zcXie777/dsh-image-reader
Plugin: dsh-image-reader
Author: zcXie777

Check the source files

Read the README and other files from this plugin directory before installing.

File explorer3 files
README.mdSource · read only

dsh-image-reader

Give a text-only DeepSeek Harness agent the ability to read images directly: one model-facing read_image tool that asks any OpenAI-compatible vision endpoint about an image by its workspace path.

Why

DeepSeek Harness is "everything is a plugin". This bundle mounts a single tool so the model can look at a screenshot, diagram, or photograph and answer questions about it, instead of only ever reasoning over text.

Verification status

  • Verified locally: npm run typecheck, npm run build, and npm test (16 tests) all pass.
  • Not yet verified: a real end-to-end read against a live vision endpoint. The request/response logic is covered by a mocked-fetch unit test, but the plugin has not been smoke-tested inside a running dsh profile against a real multimodal model. Do that once with a real VISION_API_KEY before relying on it.

Install

git clone https://github.com/zcXie777/dsh-image-reader.git
cd dsh-image-reader
npm install
npm run build          # lib/ is not committed; build once after cloning
cd ..
dsh plugin --profile web add "$PWD/dsh-image-reader"
dsh plugin --profile headless add "$PWD/dsh-image-reader"
dsh --profile web --dump-config | grep image-reader

Restart a running Web profile after installing.

Configure

provider.baseUrl and provider.model are required; the plugin never assumes a vendor. Override them in the profile patch row with the same id:

- id: image-reader
  config:
    provider:
      baseUrl: https://api.openai.com/v1
      model: gpt-4o-mini
      apiKeyEnv: VISION_API_KEY
    lang: zh
    timeoutMs: 60000
    maxImageBytes: 10485760
    allowedDirs: []

Set the key in the environment before starting the profile:

export VISION_API_KEY=sk-...

Use

In a conversation, point the model at an image path and ask:

read_image image="screenshot.png" query="What error is shown in this dialog?"
read_image image="diagram.png"

Configuration fields

FieldDefaultContract
provider.baseUrl— (required)OpenAI-compatible chat/completions base URL
provider.model— (required)Multimodal model name
provider.apiKeyEnvVISION_API_KEYEnvironment variable holding the API key
langzhAnswer language: zh or en
timeoutMs60000Whole-request deadline, 1000–600000 ms
maxImageBytes10485760Encoded-byte limit per image
allowedDirs[]Extra realpath-resolved input roots; the workspace is always allowed

Security

  • Inputs resolve against the workspace and allowedDirs through realpath, so a symlink cannot escape the fence.
  • Images are size-limited and extension-checked before upload.
  • The key is read from the environment per call, never stored in config.

Development

npm install
npm run typecheck
npm run build

Publish

Tag the repo with the dsh-plugin topic so it is discoverable, and publish to npm when ready.

License

MIT

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