xiincs
Registry indexed
vision
Call vision models (Doubao, Qwen, DeepSeek, OpenAI) to analyze images. Use when you need to understand screenshots, UI layouts, diagrams, or any image content. Supports png/jpg/webp/gif.
Registry indexed
Call vision models (Doubao, Qwen, DeepSeek, OpenAI) to analyze images. Use when you need to understand screenshots, UI layouts, diagrams, or any image content. Supports png/jpg/webp/gif.
Call vision models (Doubao, Qwen, DeepSeek, OpenAI) to analyze images. Use when you need to understand screenshots, UI layouts, diagrams, or any image content. Supports png/jpg/webp/gif.
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Multi-provider vision tool. Call various vision models to describe images. Feed it a prompt + image path, get back a text description.
If you can already see and understand the image yourself (native multimodal model), skip this tool — analyze it directly.
A SessionStart hook normally announces this session's routing status up front. If that context isn't visible (e.g. compacted out of a long conversation, or the hook isn't installed), check before calling this tool:
python vision.py --check-routing
native → you already have native image understanding this session; don't call this tool.external (default) → proceed with the quick start below.python vision.py [--provider <name>] <image_path> <prompt>
When --provider is omitted, the provider is resolved by: --provider flag > VISION_PROVIDER env > first API key found.
DOUBAO_API_KEYdoubao-seed-2-0-pro-260215DOUBAO_BASE_URLDASHSCOPE_API_KEYqwen-vl-maxDASHSCOPE_BASE_URLqwen-vl-max, qwen-vl-plus, qvq-maxDEEPSEEK_API_KEYdeepseek-v4-flash-vision-expDEEPSEEK_BASE_URLdeepseek-v4-flash-vision-exp accepts images — deepseek-v4-flash and deepseek-v4-pro are text-only and reject image input with an error.OPENAI_API_KEYgpt-4oOPENAI_BASE_URLANTHROPIC_API_KEYclaude-sonnet-5ANTHROPIC_BASE_URLanthropic package (pip install anthropic); it's imported lazily so other providers work without it.Any --provider name outside the built-in ones is resolved dynamically from
environment variables named after it — no code changes needed:
| Env Var | Required | Notes |
|---|---|---|
{NAME}_API_KEY | yes | checked at request time, same as built-ins |
{NAME}_BASE_URL | yes | no default — arbitrary endpoint |
{NAME}_MODEL | yes | no default (or set global VISION_MODEL instead) |
{NAME}_PROTOCOL | no | openai (default) or anthropic — picks the request shape |
openai covers essentially every OpenAI-compatible endpoint (vLLM, Ollama,
LiteLLM, OpenRouter, Azure OpenAI, self-hosted proxies, ...). Use
{NAME}_PROTOCOL=anthropic only if the endpoint speaks the Anthropic Messages
API shape.
export MYAPI_API_KEY="sk-xxx"
export MYAPI_BASE_URL="https://my-endpoint.example.com/v1"
export MYAPI_MODEL="my-vision-model"
python vision.py --provider myapi "screenshot.png" "describe this"
If {NAME}_BASE_URL or {NAME}_MODEL is missing, the tool prints exactly which
variables to set instead of a generic "unknown provider" error.
| Env Var | Scope | Default |
|---|---|---|
VISION_PROVIDER | Default provider (built-in or custom name) | auto-detect (built-ins only) |
VISION_MODEL | Override model (all providers) | provider default |
{PROVIDER}_MODEL | Override model (per provider) | — |
{PROVIDER}_BASE_URL | Override/define endpoint (per provider) | built-in default, or required for custom |
{PROVIDER}_PROTOCOL | Request shape for a custom provider: openai | anthropic | openai |
VISION_TEMPERATURE | Response creativity 0–1 | 0 |
VISION_MAX_TOKENS | Max response tokens | 4096 |
Note: auto-detect (no --provider / VISION_PROVIDER set) only scans the
built-in providers' API keys — a custom provider must always be named explicitly.
# Auto-detect provider from API keys
python vision.py "screenshot.png" "Describe the page layout and any visible UI issues."
# Explicit provider
python vision.py --provider qwen "mockup.png" "List all components, colors, and spacing patterns."
# Custom model
QWEN_MODEL=qvq-max python vision.py --provider qwen "diagram.png" "Explain the architecture."
# GPT-4o for visual regression
python vision.py -p openai "after.png" "Compare with app design spec, flag differences."
# Fully custom provider (self-hosted, third-party proxy, any OpenAI-compatible endpoint)
MYAPI_API_KEY=sk-xxx MYAPI_BASE_URL=https://host/v1 MYAPI_MODEL=my-model \
python vision.py --provider myapi "ui.png" "Analyze layout issues"
name: vision description: Call vision models (Doubao, Qwen, DeepSeek, OpenAI) to analyze images. Use when you need to understand screenshots, UI layouts, diagrams, or any image content. Supports png/jpg/webp/gif.
---
name: vision
description: Call vision models (Doubao, Qwen, DeepSeek, OpenAI) to analyze images. Use when you need to understand screenshots, UI layouts, diagrams, or any image content. Supports png/jpg/webp/gif.
---
# vision
Multi-provider vision tool. Call various vision models to describe images. Feed it a prompt + image path, get back a text description.
## When to use this tool
If you can already see and understand the image yourself (native multimodal model), skip this tool — analyze it directly.
A SessionStart hook normally announces this session's routing status up front. If that context isn't visible (e.g. compacted out of a long conversation, or the hook isn't installed), check before calling this tool:
```bash
python vision.py --check-routing
```
- `native` → you already have native image understanding this session; don't call this tool.
- `external` (default) → proceed with the quick start below.
## Quick start
```bash
python vision.py [--provider <name>] <image_path> <prompt>
```
When `--provider` is omitted, the provider is resolved by: `--provider` flag > `VISION_PROVIDER` env > first API key found.
## Providers
### doubao (Volcengine Ark)
- API key: `DOUBAO_API_KEY`
- Default model: `doubao-seed-2-0-pro-260215`
- Custom endpoint: `DOUBAO_BASE_URL`
### qwen (DashScope)
- API key: `DASHSCOPE_API_KEY`
- Default model: `qwen-vl-max`
- Custom endpoint: `DASHSCOPE_BASE_URL`
- Available models: `qwen-vl-max`, `qwen-vl-plus`, `qvq-max`
### deepseek (DeepSeek)
- API key: `DEEPSEEK_API_KEY`
- Default model: `deepseek-v4-flash-vision-exp`
- Custom endpoint: `DEEPSEEK_BASE_URL`
- Only `deepseek-v4-flash-vision-exp` accepts images — `deepseek-v4-flash` and `deepseek-v4-pro` are text-only and reject image input with an error.
### openai (GPT-4o)
- API key: `OPENAI_API_KEY`
- Default model: `gpt-4o`
- Custom endpoint: `OPENAI_BASE_URL`
- Also works with any OpenAI-compatible endpoint.
### anthropic (Claude)
- API key: `ANTHROPIC_API_KEY`
- Default model: `claude-sonnet-5`
- Custom endpoint: `ANTHROPIC_BASE_URL`
- Requires the `anthropic` package (`pip install anthropic`); it's imported lazily so other providers work without it.
### any custom provider
Any `--provider` name outside the built-in ones is resolved dynamically from
environment variables named after it — no code changes needed:
| Env Var | Required | Notes |
|---------|----------|-------|
| `{NAME}_API_KEY` | yes | checked at request time, same as built-ins |
| `{NAME}_BASE_URL` | yes | no default — arbitrary endpoint |
| `{NAME}_MODEL` | yes | no default (or set global `VISION_MODEL` instead) |
| `{NAME}_PROTOCOL` | no | `openai` (default) or `anthropic` — picks the request shape |
`openai` covers essentially every OpenAI-compatible endpoint (vLLM, Ollama,
LiteLLM, OpenRouter, Azure OpenAI, self-hosted proxies, ...). Use
`{NAME}_PROTOCOL=anthropic` only if the endpoint speaks the Anthropic Messages
API shape.
```bash
export MYAPI_API_KEY="sk-xxx"
export MYAPI_BASE_URL="https://my-endpoint.example.com/v1"
export MYAPI_MODEL="my-vision-model"
python vision.py --provider myapi "screenshot.png" "describe this"
```
If `{NAME}_BASE_URL` or `{NAME}_MODEL` is missing, the tool prints exactly which
variables to set instead of a generic "unknown provider" error.
## Configuration
| Env Var | Scope | Default |
|----------|-------|---------|
| `VISION_PROVIDER` | Default provider (built-in or custom name) | auto-detect (built-ins only) |
| `VISION_MODEL` | Override model (all providers) | provider default |
| `{PROVIDER}_MODEL` | Override model (per provider) | — |
| `{PROVIDER}_BASE_URL` | Override/define endpoint (per provider) | built-in default, or required for custom |
| `{PROVIDER}_PROTOCOL` | Request shape for a custom provider: `openai` \| `anthropic` | `openai` |
| `VISION_TEMPERATURE` | Response creativity 0–1 | `0` |
| `VISION_MAX_TOKENS` | Max response tokens | `4096` |
Note: auto-detect (no `--provider` / `VISION_PROVIDER` set) only scans the
built-in providers' API keys — a custom provider must always be named explicitly.
## Examples
```bash
# Auto-detect provider from API keys
python vision.py "screenshot.png" "Describe the page layout and any visible UI issues."
# Explicit provider
python vision.py --provider qwen "mockup.png" "List all components, colors, and spacing patterns."
# Custom model
QWEN_MODEL=qvq-max python vision.py --provider qwen "diagram.png" "Explain the architecture."
# GPT-4o for visual regression
python vision.py -p openai "after.png" "Compare with app design spec, flag differences."
# Fully custom provider (self-hosted, third-party proxy, any OpenAI-compatible endpoint)
MYAPI_API_KEY=sk-xxx MYAPI_BASE_URL=https://host/v1 MYAPI_MODEL=my-model \
python vision.py --provider myapi "ui.png" "Analyze layout issues"
```
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
69/100
Promising
Trust
57/100
Do not auto-install
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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Audit
75/100
Needs review
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