Borrowing it
Nothing to install: this file belongs to ANnianExplorer/cc-ds-glm-image-mcpServer. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ANnianExplorer/cc-ds-glm-image-mcpServer/main/.claude/skills/glm-vision/SKILL.mdgit clone --depth 1 https://github.com/ANnianExplorer/cc-ds-glm-image-mcpServerWrote 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/annianexplorer/cc-ds-glm-image-mcpserver/glm-vision)<a href="https://agentmods.dev/skills/annianexplorer/cc-ds-glm-image-mcpserver/glm-vision"><img src="https://agentmods.dev/badge/skills/annianexplorer/cc-ds-glm-image-mcpserver/glm-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.
<a href="https://agentmods.dev/skills/annianexplorer/cc-ds-glm-image-mcpserver/glm-vision"><img src="https://agentmods.dev/badge/skills/annianexplorer/cc-ds-glm-image-mcpserver/glm-vision.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 | $0.00065 | $0.00384 |
| Opus 5 | $0.00032 | $0.00192 |
| Sonnet 5 | $0.00013 | $0.00077 |
| Haiku 4.5 | $0.00006 | $0.00038 |
Grade A, and why
glm-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 10d 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
GLM 视觉理解
用户贴图或给出图片（路径/URL）并需要理解内容时，调用 understand_image MCP 工具（glm-vision 服务器）。
图片定位
- 优先使用用户明确给出的路径或 URL。
- 用户粘贴的图片会落盘到临时目录。用 Bash 查找最近 5 分钟内创建的图片文件：
~/.claude/tmp/、项目.claude/tmp/、系统临时目录- 扩展名：png / jpg / jpeg / webp，取修改时间最新的一个
- 找不到或不确定时，直接询问用户图片路径，不要猜。
调用约定
- 调用
understand_image(images=[<路径或URL>])；单张传一个元素，多张传多个（可对比分析） - 用户有具体问题时加
question=<用户问题原文> - 用户没有具体问题：不传
question，工具按图片数量自动描述（单图描述内容，多图描述并指出异同） - 用户有具体问题（如"图里有几个红色按钮""这是什么植物""这两张图有什么不同"）：原文传入
question - 回答默认中文；用户要求其他语言时，把语言要求并入
question - 图片理解失败时，如实转述工具返回的错误信息，不编造图片内容
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.
- 10d ago First seen · 26 lines · 65 tokens per session scan A 1615d1f4c101
glm-vision is a skill published in the GitHub repository ANnianExplorer/cc-ds-glm-image-mcpServer (1 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 65 tokens to every session and 384 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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