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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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Harga belum dikonfirmasi★ 170 Star GitHubDirektori diperbarui · 6 Sep 2026agent-skill

Ringkasan

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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Dokumentasi sumber, bukan instruksi untuk situs ini. Periksa izin sebelum menjalankan perintah.

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"

Lihat sumber ↗

Metadata berkas

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.

Lihat teks asli

---
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"
```

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Harga dan biaya penggunaan

Dapatkan skill: Harga belum dikonfirmasi
Jalankan: Persyaratan belum dikonfirmasi. Periksa biaya agen, API, dan layanan di sumbernya.
Lisensi: MIT
Harga belum dikonfirmasi: Harga belum dikonfirmasi. Tautan sumber dan instalasi yang ada tetap tersedia.

Gratis diperoleh bukan berarti gratis dijalankan. Harga bukan penilaian keamanan. Kirim informasi harga →

Sumber skill tercatat

Jalur instruksi telah dicatat. Ini bukan uji eksekusi, jaminan keamanan, atau sertifikasi kompatibilitas.

Tinjau sebelum memasang: Hindari pemasangan otomatis

Lisensi: 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

Buka audit lengkap

Daftar alat adalah petunjuk metadata, bukan kompatibilitas teruji. Prompt adalah saran.

Mulai dengan tugas kecil

1Baca sumber dan pastikan masukan, keluaran, dependensi, serta izin.
2Minta rencana dari agent. Setujui pengaturan dan biaya sebelum uji terisolasi.
3Periksa hasil dan berkas yang berubah. Laporkan hanya yang dijalankan dan simpan revisi sumber.

Periksa dependensi, kunci API, dan biaya layanan pihak ketiga pada sumber. Repositori publik tidak berarti semua layanan gratis.

Sumber dan catatan penggunaan

Terindeks

Metadata dan tinjauan bersifat saran. Popularitas, penemuan sumber, dan keberhasilan eksekusi adalah fakta berbeda.

Repositori sumber: xiincs/claude-code-vision-skill
Lisensi: MIT
Versi: 1.0.0
Push GitHub terakhir: 25 Agu 2026
Direktori diperbarui: 6 Sep 2026
Jalur instruksi: vision/SKILL.md @ 32ec684b4307

Versi dilaporkan dalam metadata direktori; periksa rilis sumber.

Kualitas

66/100

Menjanjikan

Kepercayaan

56/100

Do not auto-install

Audit

72/100

Perlu ditinjau

Buka audit lengkap Lihat laporan evaluasi

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: —
Hasil: —

Menyalin bukan memasang. Jumlah instalasi memerlukan laporan berhasil dan bukan jaminan kualitas menyeluruh.

Akses agent

API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.

Buka API pemasangan Format teks LLM Buka Manifest Rencana resolusi otomatis

Detail lainnya

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    "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.",
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      "documentation": "Strong README/SKILL.md context",
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  "audit": {
    "score": 72,
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    "risk_label": "Needs review",
    "warnings": [
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      "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.",
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      "Permission surface needs review: secrets or environment access, shell or command execution",
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  "quality": {
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  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
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    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
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    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 64/100 Manual review",
      "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"
  }
}

Untuk kreator

Sumber listing

Diindeks Registry

Dapat diklaim

Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.

Kreator: xiincs
Sumber: xiincs/claude-code-vision-skill
Diindeks oleh: Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim pemilik

Klaim listing skill ini

Listing Diindeks Registry ini dikaitkan dengan xiincs, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.

Kit berbagi

Kit backlink kreator

Tambahkan badge bukti ke README Anda

Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.

[![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)

Pratinjau badge Buka audit Kit kreator

Sinyal komunitas

Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.

Ringkasan

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

Tinjau sumber

Harga dan biaya penggunaan

Mulai dengan tugas kecil

Sumber dan catatan penggunaan

Akses agent

Skill terkait

Untuk kreator

Diindeks Registry

Klaim listing skill ini

Tambahkan badge bukti ke README Anda

Sinyal komunitas