xiincs
Indexado en Registry
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.
Resumen
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.
Leer documentación completa
Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.
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:
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
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-expaccepts images —deepseek-v4-flashanddeepseek-v4-proare 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
anthropicpackage (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.
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
# 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"
Metadatos del archivo
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.
Ver texto original
---
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"
```
Revisar el código fuente
Precio y costes de ejecución
- Obtener el skill
- Precio sin confirmar
- Ejecutarlo
- Requisitos sin confirmar. Consulta los costes del agente, API y servicios en la fuente.
- Licencia
- MIT
- Precio sin confirmar
- No hemos confirmado el precio. Los enlaces existentes al código y a la instalación siguen disponibles.
Obtener gratis no significa ejecutar gratis. El precio no es una evaluación de seguridad. Enviar información de precio →
Fuente del skill registrada
La ruta de instrucciones está registrada. No implica pruebas de ejecución, seguridad ni compatibilidad.
Revisar antes de instalar: Evitar instalación automática
Licencia: MIT
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The SKILL.md references a SessionStart hook that is not part of the skill itself; this may confuse users if the hook is not installed.
- The script imports the openai package at module level, but the anthropic provider is lazily imported; this is fine but could be noted for clarity.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 170 stars, 8 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
Las herramientas son indicios de metadatos, no compatibilidad probada. Los prompts son sugerencias.
Empieza con una tarea pequeña
- 1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
- 2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
- 3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.
Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.
Fuente y notas de uso
Indexado
Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.
- Repositorio fuente
- xiincs/claude-code-vision-skill
- Licencia
- MIT
- Versión
- 1.0.0
- Último push de GitHub
- 25 ago 2026
- Registro actualizado
- 6 sept 2026
- Ruta de instrucciones
- vision/SKILL.md @ 32ec684b4307
Versión declarada en el registro; consulta las versiones de la fuente.
Calidad
66/100
Prometedor
Confianza
56/100
Do not auto-install
Auditoría
72/100
Requiere revisión
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The SKILL.md references a SessionStart hook that is not part of the skill itself; this may confuse users if the hook is not installed.
- The script imports the openai package at module level, but the anthropic provider is lazily imported; this is fine but could be noted for clarity.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 170 stars, 8 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Verified installs
- —
- Resultados
- —
Copiar no es instalar. Los recuentos requieren un informe de instalación correcta, no garantizan calidad general.
Acceso para agentes
La API Registry expone señales de decisión, confianza, auditoría, casos de uso e instalación sin raspar la interfaz.
Más detalles
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"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "xiincs-vision",
"task": "Use vision in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/xiincs-vision",
"api": "https://www.openagentskill.com/api/agent/skills/xiincs-vision",
"audit": "https://www.openagentskill.com/skills/xiincs-vision/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=xiincs-vision&task=Use%20vision%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20vision%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20vision%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/xiincs-vision/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/xiincs-vision"
}
}Para el creador
Fuente de la ficha
Indexado por Registry
Esta ficha se indexó desde fuentes públicas y no está marcada como oficial hasta que se apruebe una reclamación de mantenedor.
- Creador
- xiincs
- Indexado por
- Índice comunitario de OpenAgentSkill
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