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 skills add LY20050921/qwen-vision-mcp --skill recognize-imagegit clone --depth 1 https://github.com/LY20050921/qwen-vision-mcpWrote 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/ly20050921/qwen-vision-mcp/recognize-image)<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.
<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>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 5.1 | $0.00056 | $0.00173 |
| Opus 5 | $0.00028 | $0.00086 |
| Sonnet 5 | $0.00011 | $0.00035 |
| Haiku 4.5 | $0.00006 | $0.00017 |
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 8d 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.
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：
- 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
- 把工具返回的文字当作图片内容，继续回答用户。
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.
- 8d ago First seen · 13 lines · 56 tokens per session scan A 3e4977cc46df
recognize-image is a skill published in the GitHub repository LY20050921/qwen-vision-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 173 once invoked, about $0.0003 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 2026-08-31.
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