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Screen Eye — DSH Plugin for DeepSeek Harness
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dsh-screen-eye

Screen Eye

Autonomous screen vision for DeepSeek Harness on macOS: the agent captures the screen and receives the image itself in one call.

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:davidekingsss/dsh-screen-eye#6c6acdc25c4ca239fa4c7ba56313aae659e417fb
READMECompatibilityVersions

Compatibility and provenance

Screen Eye is published as dsh-screen-eye and currently resolves to version 0.1.0. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
any
Release source
github
Registry updated
9/15/2026

Versions

0.1.0stable
9/15/2026

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License
MIT
Source
github
GitHub
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Last push
9/19/2026
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README

dsh-screen-eye

An autonomous eye for DeepSeek Harness on macOS: the agent captures the screen and receives the picture in the same tool call, so it can look at a running app, a dialog, an error or its own UI work without asking you for a screenshot.

macOS only. No native build step, no bundled binary, no dependencies.

What it adds

Two model-callable tools:

ToolWhat it does
screenshotCaptures the screen and returns the image itself, as an image content block the model can see.
screen_permissionReports whether macOS currently allows this process to capture, and opens the exact System Settings pane when it does not.

mode selects what is captured: screen (default, whole desktop), display (one display), region (a rectangle), or the interactive window / select, which wait for the user to click a window or drag a rectangle.

Why this plugin exists

Most screenshot tooling assumes the hard part is capturing pixels. On macOS the hard part is permission, and it fails in a way that looks like a bug:

screencapture: could not create image from display

macOS gates screen capture behind the Screen Recording permission, keyed to the responsible process — the application macOS holds accountable for a whole process tree. A DeepSeek Harness host is often not a normal GUI application. The in-app plugin market restarts the host through a detached helper, so the host is reparented to launchd and has no application anywhere above it. When such a process asks for the screen, macOS cannot attribute the request to anything the user could grant, so it denies it without ever showing a prompt.

The permission cannot be granted programmatically: the TCC databases are SIP-protected, tccutil only resets, and CGRequestScreenCaptureAccess refuses to prompt for a process that is not an app bundle. So this plugin does what is actually possible:

  • it detects the denial by attempting a real capture and classifying the result, rather than guessing;
  • it computes the exact executable that must be granted, from the running host, instead of describing it generically;
  • it opens the exact settings pane on request;
  • and it returns those steps as the tool result, so the agent can hand you a fix rather than a stack trace.

Install

dsh plugin --profile web add github:davidekingsss/dsh-screen-eye
# then restart dsh

From a local checkout, instead of a published source:

dsh plugin --profile web add link:/path/to/dsh-screen-eye

The plugin has no build step and no dependencies, so nothing is compiled at install time.

Grant Screen Recording (once)

Call screenshot once. If permission is missing, the result tells you exactly what to do, and screen_permission with action: "open_settings" opens the pane for you. In short:

  1. Open System Settings → Privacy & Security → Screen & System Audio Recording.
  2. Click +, press ⌘⇧G, paste the path the tool reported (normally the node binary running the harness), and select it.
  3. Turn its switch on.

No restart is needed — the grant applies to the next capture.

If you start the harness from a terminal, granting that terminal application instead has the same effect.

macOS may periodically ask you to re-confirm this permission. Re-enabling the same switch is enough.

Configuration

All keys are optional.

KeyDefaultMeaning
outputDir<DSH home>/screen-eyeWhere captured PNGs are written.
localeenLanguage of the onboarding text: en or zh.
timeoutMs120000Cooperative budget for one capture.
requireImageCapableModeltrueRefuse a capture when the calling model declares no image input, instead of returning a picture it cannot see.
deleteAfterCommitfalseDelete the PNG once it is committed to the attachment store. Off by default, so the returned path stays re-readable.
# cordis.patch.yml
- insert:
    - id: screen-eye
      name: dsh-screen-eye
      config:
        locale: zh
        outputDir: /Users/me/Pictures/agent-shots

How it works

screenshot tool ──▶ lib/capture.mjs ──▶ /usr/sbin/screencapture ──▶ PNG
                       │
                       └──▶ attachments.saveImage() ──▶ image content block ──▶ model

The capture shells out to the system screencapture(1) rather than shipping a private helper. That choice is deliberate: screencapture needs no compiled artefact, is Apple-signed, and already uses ScreenCaptureKit internally on current macOS. A private helper would instead require per-architecture builds and an ad-hoc signature whose hash changes on every rebuild — and a changed hash silently invalidates the user's Screen Recording grant.

The image reaches the model through the same attachment path the built-in read_image tool uses, so the value is validated, downscaled and replayed exactly like any other image in the session.

Platform support

macOS only, enforced in two places: the bundle patch carries disabled: !!js process.platform !== 'darwin', so on another platform the module is never imported, and apply() re-checks so a direct mount cannot register capture tools that have no engine.

Windows has no equivalent permission gate — any process may capture the screen, so a Windows engine would need no onboarding flow at all. It is not included because it cannot be tested from this repository's development environment, and claiming untested platform support would be worse than declaring the limit.

Requirements

  • macOS with the harness's Node runtime (the capture path needs no extra package).
  • A model route that declares image input. With requireImageCapableModel left at its default, a text-only route is refused up front with a message naming the model, instead of silently capturing something the model cannot see.

Development

npm install
node test/selftest.mjs

The suite runs without a harness: the logic modules are imported directly and the tool definitions are exercised through a stubbed context, so it works on a machine that has never seen the harness — which is also what CI does. Cases that capture for real run only when the machine already has Screen Recording permission, so the suite stays green before the grant too.

The three @deepseek-ai/* packages the plugin imports are pinned exactly in devDependencies, and that is deliberate: they publish the current line under the next dist-tag while their latest tag still points at a much older release, so an unpinned install resolves to the old one and the import fails.

docs/verification.md records what has actually been run — the self-test, loader acceptance in an isolated profile, and one end-to-end agent turn — and what each result does and does not prove.

License

MIT