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vision

vision is a skill for Claude Code, Codex from arieslee/deepseek-vision-mcp. It costs 41 tokens per session (882 once invoked), scanned A, original, MIT.

A coding-agent skill for analyzing images through the deepseek-vision-mcp service, which uses Gemini by default.

In plain words
What is it for?
Use it to describe images, answer questions about their contents, and perform OCR, including extracting code while preserving its formatting.
Why use it?
It provides a defined process for locating the service, checking its API-key setup, and sending local files, URLs, or image data for analysis.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 0repo 2mo ago A scan 41 tokens original MIT

Good fit Use it to describe images, answer questions about their contents, and perform OCR, including extracting code while preserving its formatting.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/arieslee/deepseek-vision-mcp/vision
View source ↗ arieslee/deepseek-vision-mcp
Install

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.

Any agent
npx skills add arieslee/deepseek-vision-mcp --skill vision
Clone the repo
git clone --depth 1 https://github.com/arieslee/deepseek-vision-mcp

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for vision

README.md
[![agentmods](https://agentmods.dev/badge/skills/arieslee/deepseek-vision-mcp/vision/github.svg)](https://agentmods.dev/skills/arieslee/deepseek-vision-mcp/vision)
Your own site
<a href="https://agentmods.dev/skills/arieslee/deepseek-vision-mcp/vision"><img src="https://agentmods.dev/badge/skills/arieslee/deepseek-vision-mcp/vision/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for vision

Your own site · 80×15
<a href="https://agentmods.dev/skills/arieslee/deepseek-vision-mcp/vision"><img src="https://agentmods.dev/badge/skills/arieslee/deepseek-vision-mcp/vision.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 882 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00882
Opus 5.5 $0.00016 $0.00353
Sonnet 5.5 $0.00008 $0.00176
Haiku 4.5 $0.00004 $0.00088

Measured 2mo ago against content hash aee3a498967b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2mo 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.

skills/vision/SKILL.md · 50 lines

What it actually says

Vision — 图片识别 / 分析

识别、分析、查看图片内容时统一走 deepseek-vision-mcp 封装好的 CLI（底层通过 stdio MCP 协议调用其 analyze_image 工具，模型默认 gemini-3.5-flash）。

0. 定位 deepseek-vision-mcp 项目目录（按顺序，不要跳过）

  1. 若环境变量 VISION_MCP_DIR 已设置 → 它就是项目目录。
  2. 若当前工作目录或其任一父目录下存在 scripts/analyze-image.mjs → 该目录即项目根。
  3. 若本 SKILL.md 的路径形如 <项目根>\skills\vision\SKILL.md（skill 安装在项目内）→ 向上两级即为项目根。
  4. 在常见位置（用户主目录、工具目录等）快速查找 analyze-image.mjs（它位于项目根的 scripts/ 下）；仍找不到就询问用户项目目录在哪，不要自行猜测路径。

令 $MCP = 找到的项目目录。

前提

  • 需要 GEMINI_API_KEY：CLI 会自动加载项目 .env（$MCP\.env），也可来自环境变量。两者都没有时，提示用户配置（写入 $MCP\.env 一行 GEMINI_API_KEY=你的Key），不要编造。
  • 若 $MCP\dist\index.js 不存在，先在 $MCP 目录运行 npm run build。

标准流程

  1. 确认图片来源（让用户提供或从对话中提取）：

    • 本地文件：推荐绝对路径，如 C:\photos\a.png
    • 网络图片：完整 URL，如 https://example.com/a.jpg
    • base64：data:image/png;base64,xxxx

  2. 运行命令：

    node "$MCP\scripts\analyze-image.mjs" "<图片路径或URL>" "<可选的识别指令>"

    常见用法：

    • 默认描述：node "$MCP\scripts\analyze-image.mjs" "C:\photos\a.png"
    • 定向问题：node "$MCP\scripts\analyze-image.mjs" "C:\photos\a.png" "图里有哪些文字？逐字输出"
    • 提取代码（OCR）：node "$MCP\scripts\analyze-image.mjs" "C:\photos\code.png" "把图片中的代码逐字完整识别出来，保留缩进、空格和标点，不要改写或省略" --max-tokens 8192
    • 限制长度：node "$MCP\scripts\analyze-image.mjs" "C:\photos\a.png" "用一句话总结" --max-tokens 256

  3. 把模型输出作为识别结果按原样呈现给用户，不要加工杜撰。

  4. 若输出以 [错误] 开头：向用户转述错误并给出修复建议（常见：未配置 GEMINI_API_KEY、未执行 npm run build、图片路径不存在、网络问题；若报模型不存在，提示用户在 $MCP\.env 中改 GEMINI_MODEL）。

规则

  • 用户说"识别/分析/看这张图片"但没给路径时，先向用户确认图片位置，不要猜测。
  • 识别结果一律以模型输出为准，禁止自己凭空描述图片内容。
  • 模型是视觉模型，只处理图片；不要用它做与图片无关的任务。
  • 不要泄露或硬编码任何 API Key。
Changes

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.

  1. 2mo ago First seen · 50 lines · 41 tokens per session scan A aee3a498967b

Subscribe to this mod's changes

vision is a skill published in the GitHub repository arieslee/deepseek-vision-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 41 tokens to every session and 882 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.

Creative and media
Related

vision compared with skills from other repositories

vision next to 6 skills from other repositories
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visionarieslee/deepseek-vision-mcpSkill02mo agoMITA41Claude Code, Codex
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local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79kyesterdayMITA200Claude Code, Codex
playwright-climicrosoft/playwrightSkill100kyesterdayApache-2.0A19Claude Code
browser-automationopenclaw/openclawSkill394ktodayMITA36Claude Code
systematic-debuggingobra/superpowersSkill314k5d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code