Model-facing `analyze_image` tool with 8 analysis modes (describe, OCR, UI review, chart data, object detection, compare, code-gen, endpoint debug) for any OpenAI- or Anthropic-compatible vision endpoint; local path / http(s) URL / data URL input, up to 4 images per call, live settings UI with masked secrets, and a composer hint that guides image-incapable models to the reliable local-path route.
Install
# from GitHub (first run asks for allowBuilds approval — follow the hint, retry)
dsh plugin --profile web add github:Harvey-Will/dsh-vision-analysis
Any plugin you install runs third-party code with your own permissions — it can read your files, use your credentials, and reach the network, and tool approvals don’t sandbox it. GitHub-sourced plugins also run build scripts at install time — pnpm blocks those until you allow them, so an install can stop with ERR_PNPM_GIT_DEP_PREPARE_NOT_ALLOWED or ERR_PNPM_IGNORED_BUILDS; dsh prints the exact key to add under allowBuilds in your profile’s pnpm-workspace.yaml, and the install works on the next run. Allowing a build is a trust decision: only install sources you trust, and pin a commit (github:owner/repo#sha).
Links
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