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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.

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Prix non confirmé★ 170 Stars GitHubRegistre mis à jour · 6 sept. 2026agent-skill

Vue d’ensemble

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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Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.

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-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.

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"

Voir la source ↗

Métadonnées du fichier

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.

Voir le texte 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"
```

Examiner la source

Prix et coûts d’utilisation

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L’utiliser: Prérequis non confirmés. Consultez les frais d’agent, d’API et de services à la source.
Licence: MIT
Prix non confirmé: Le prix n’est pas confirmé. Les liens existants vers les sources et l’installation restent disponibles.

Gratuit à obtenir ne signifie pas gratuit à utiliser. Le prix ne constitue pas une évaluation de sécurité. Soumettre un prix →

Source du skill enregistrée

Un chemin vers les instructions est enregistré. Cela ne constitue pas un test, une garantie de sécurité ou de compatibilité.

Réviser avant installation: Éviter l’installation automatique

Licence: 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

Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

Répertorié

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source: xiincs/claude-code-vision-skill
Licence: MIT
Version: 1.0.0
Dernier push GitHub: 25 août 2026
Registre mis à jour: 6 sept. 2026
Chemin des instructions: vision/SKILL.md @ 32ec684b4307

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

66/100

Prometteur

Confiance

56/100

Do not auto-install

Audit

72/100

Revue nécessaire

Ouvrir l’audit complet Voir le rapport d’évaluation

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: —
Résultats: —

Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

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Plus de détails

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      "Audit: 72/100 Needs review",
      "Safety: 36/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "xiincs-vision (vision)",
      "install_command": "npx skills add xiincs/claude-code-vision-skill --skill vision",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "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"
  }
}

Pour le créateur

Source de la fiche

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Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.

Créateur: xiincs
Source: xiincs/claude-code-vision-skill
Indexé par: Index communautaire OpenAgentSkill

L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/xiincs-vision?metric=listed&label=Listed)](https://www.openagentskill.com/skills/xiincs-vision?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/xiincs-vision?metric=trust&label=Trust)](https://www.openagentskill.com/skills/xiincs-vision?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/xiincs-vision?metric=audit&label=Audit)](https://www.openagentskill.com/skills/xiincs-vision/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/xiincs-vision?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/xiincs-vision?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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Vue d’ensemble

vision

When to use this tool

Quick start

Providers

doubao (Volcengine Ark)

qwen (DashScope)

deepseek (DeepSeek)

openai (GPT-4o)

anthropic (Claude)

any custom provider

Configuration

Examples

Examiner la source

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Source et conseils d’utilisation

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Skills associés

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