recognize-image

recognize-image is a skill for Claude Code, Codex from LY20050921/qwen-vision-mcp. It costs 56 tokens per session (173 once invoked), scanned A, original, MIT.

An image-understanding skill that sends an image to a Qwen vision model when the current model cannot view its contents directly. It returns a text description for the agent to use.

In plain words
What is it for?
Use it to describe or inspect image contents, including screenshots and image files, by providing the image’s absolute path and an optional question.
Why use it?
It lets the agent work from an image path, attachment, or screenshot when it lacks direct visual access.

Skill for Claude CodeCodex

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

Good fit Use it to describe or inspect image contents, including screenshots and image files, by providing the image’s absolute path and an optional question.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ly20050921/qwen-vision-mcp/recognize-image
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 LY20050921/qwen-vision-mcp --skill recognize-image
Clone the repo
git clone --depth 1 https://github.com/LY20050921/qwen-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 recognize-image

README.md
[![agentmods](https://agentmods.dev/badge/skills/ly20050921/qwen-vision-mcp/recognize-image/github.svg)](https://agentmods.dev/skills/ly20050921/qwen-vision-mcp/recognize-image)
Your own site
<a href="https://agentmods.dev/skills/ly20050921/qwen-vision-mcp/recognize-image"><img src="https://agentmods.dev/badge/skills/ly20050921/qwen-vision-mcp/recognize-image/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 recognize-image

Your own site · 80×15
<a href="https://agentmods.dev/skills/ly20050921/qwen-vision-mcp/recognize-image"><img src="https://agentmods.dev/badge/skills/ly20050921/qwen-vision-mcp/recognize-image.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 173 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 $0.00056 $0.00173
Opus 5.5 $0.00022 $0.00069
Sonnet 5.5 $0.00011 $0.00035
Haiku 4.5 $0.00006 $0.00017

Measured 2mo ago against content hash 3e4977cc46df, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

recognize-image 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.

skill/recognize-image/SKILL.md · 13 lines

What it actually says

当前模型没有视觉能力。当你需要理解一张图片的内容,但自己无法直接查看时:

  1. 调用 MCP 工具 recognize_image:
    • path: 图片的绝对路径
    • prompt: 你想从图片中了解什么(默认让它详细描述)
    • model: 千问视觉模型名,默认 qwen3.5-omni-plus-2026-03-15
  2. 把工具返回的文字当作图片内容,继续回答用户。
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 · 13 lines · 56 tokens per session scan A 3e4977cc46df

Subscribe to this mod's changes

recognize-image is a skill published in the GitHub repository LY20050921/qwen-vision-mcp (0 stars, last pushed 3mo ago), licensed MIT. It adds 56 tokens to every session and 173 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.

Related

recognize-image compared with skills from other repositories

recognize-image next to 6 skills from other repositories
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recognize-imageLY20050921/qwen-vision-mcpSkill03mo agoMITA56Claude Code, Codex
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