Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/xiincs/claude-code-vision-skill/visionnpx skills add xiincs/claude-code-vision-skill --skill visiongit clone --depth 1 https://github.com/xiincs/claude-code-vision-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/xiincs/claude-code-vision-skill/vision)<a href="https://agentmods.dev/skills/xiincs/claude-code-vision-skill/vision"><img src="https://agentmods.dev/badge/skills/xiincs/claude-code-vision-skill/vision.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00049 | $0.01261 |
| Opus 5 | $0.00024 | $0.00630 |
| Sonnet 5 | $0.00010 | $0.00252 |
| Haiku 4.5 | $0.00005 | $0.00126 |
Grade A, and why
vision scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- vision — 89% identical, 25 lines differ
How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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:
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 128 lines · 49 tokens per session scan A 9ca142d965d6
vision is a skill published in the GitHub repository xiincs/claude-code-vision-skill (170 stars, last pushed 10d ago), licensed MIT. It adds 49 tokens to every session and 1,261 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
vision-skills
Local vision CLIs: glance (describe/ask/OCR an image), ground (locate a target, pixel box), detect (element inventory), trace (image to SVG geometry), crop (cut a pixel box to a file), and scripts/htmlshot.py (HTML file to image). Use for any task involving an image — questions, text, splitting and transcribing long…
vision-multimodal
给 DeepSeek 这类纯文本模型补上「眼睛和耳朵」的完整视觉/听觉能力 —— 读图、OCR 取字、物体检测定位、视频理解、语音转写、多说话人分离、音乐分析、文档/PDF 可视化、截图直读、图像分割。双通道：默认走 MCP 工具（通义千问），也可用 vision.py 接任意 OpenAI 兼容供应商。.
vision-reader
Use when the user asks to read, view, or analyze a PDF, image (PNG/JPG/GIF/BMP/TIFF/WEBP), PowerPoint (PPT/PPTX), or take a screenshot. Provides visual description (understands layout, arrows, boxes, diagrams), OCR text extraction, PDF structure extraction, and PPT content extraction. Triggered by keywords: "read this…
vision
多模型视觉桥接 — 让 DeepSeek 等纯文本模型获得看图能力。支持6个免费Provider自动Fallback：Gemini、硅基流动、智谱、月之暗面、魔搭、Intern-AI。7个专用工具：分析、OCR、对比、错误诊断、图表、UI评估、状态检查。.
deepseek-vision
MUST use when the user sends or asks about images, photos, screenshots, pictures, audio, video, or mixed media documents, including requests to OCR/read text from an image. Route all media through Xiaomi MiMo V2.5 (mimo-v2.5) and mimo-v2.5-asr via scripts/mimo.py; never use local OCR, viewimage, native vision…
skill-creator
Create, install, or update skills in the workspace. Use when (1) installing a skill from a URL or remote source, (2) creating a new skill from scratch, (3) updating or restructuring existing skills. Always use this skill for any skill installation or creation task.