image-vision skillA
image-vision is agent-read markdown (skill) from microsoft/amplifier-bundle-skills: Analyze images using LLM vision APIs (Anthropic Claude, OpenAI GPT-4, Google Gemini, Azure OpenAI). Use when a task requires understanding image content, describing visual elements, answering questions about images, comparing images, or extracting text from images (OCR). Provides ready-to-use scripts..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Image Vision Analysis ## Overview Analyze images using state-of-the-art LLM vision models. **Use the provided scripts** for most tasks - custom code only needed for advanced scenarios. ## Workflow Decision Tree ### First time using this skill? → Read [`setup.md`](setup.md) for one-time environment and API key setup ### Simple image analysis (most common) → Use "Quick Start" canned scripts below ### Batch processing or multi-turn conversations → Read [`patterns.md`](patterns.md) for advanced patterns ### Something failing? → Check setup.md for troubleshooting ## Quick Start (Use Wrapper Scripts) **ALWAYS use the wrapper scripts** - they handle venv setup automatically: ```bash # Simple analysis (auto-creates venv on first use) ./vision-analyze.sh <provider> <image_path> <prompt> # Robust analysis (auto-fallback if provider times out) ./vision-analyze-robust.sh <image_path> <prompt> [timeout_seconds] ``` **The wrapper scripts automatically:** - Create venv if it doesn't exist - Install required SDKs - Use venv Python (no manual activation needed) - Handle errors gracefully **Example usage:** ```bash # Analyze a UI screenshot (Anthropic Claude) …
Read the whole file at its exact version.
How to install
mdr add microsoft/amplifier-bundle-skills/image-vision@git:20260830.e465f5emdr add microsoft/amplifier-bundle-skills/image-vision@sha256:0029f27b0cb3bf4cPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_7dyxqtjm2ik3rx5t)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260830.e465f5e latest | 2026-08-30 | e465f5e | 14,422 B | A | view · diff |
| git:20260623.6dc6e2b | 2026-06-23 | 6dc6e2b | 14,470 B | A | view · diff |
| git:20260221.29bf7a0 | 2026-02-21 | 29bf7a0 | 12,255 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (14422 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
microsoft/amplifier-bundle-skills · 12 stars · license MIT · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_7dyxqtjm2ik3rx5t GET https://markdownregistry.com/api/v1/resolve?ref=microsoft/amplifier-bundle-skills/image-vision GET https://markdownregistry.com/api/v1/blob/0029f27b0cb3bf4c23db93f1ce8ee54187fb142b14929a0ee601b3045125b844
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