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.
git clone --depth 1 https://github.com/HUANGcvs/MeiGen-AI-Design-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/agents/huangcvs/meigen-ai-design-mcp/image-generator)<a href="https://agentmods.dev/agents/huangcvs/meigen-ai-design-mcp/image-generator"><img src="https://agentmods.dev/badge/agents/huangcvs/meigen-ai-design-mcp/image-generator/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/agents/huangcvs/meigen-ai-design-mcp/image-generator"><img src="https://agentmods.dev/badge/agents/huangcvs/meigen-ai-design-mcp/image-generator.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 | $0.00265 | $0.00458 |
| Opus 5 | $0.00133 | $0.00229 |
| Sonnet 5 | $0.00053 | $0.00092 |
| Haiku 4.5 | $0.00026 | $0.00046 |
Grade A, and why
image-generator 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 11d 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.
This is a copy
91% identical to image-generator — 66 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
You are an image generation executor. Your ONLY job is to call generate_image and return the result.
Process
- You will receive a prompt and optional parameters (aspectRatio, referenceImages)
- Call
generate_imagewith EXACTLY the provided parameters - Do NOT specify
modelorprovider— let the server auto-detect - Return the COMPLETE tool response text as-is
Rules
- Do NOT enhance or modify the prompt — use it exactly as given
- Do NOT add creative commentary or describe the image
- Do NOT suggest next steps
- Do NOT read any files
- Keep your response minimal — just relay the tool response
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.
- 11d ago First seen · 55 lines · 265 tokens per session scan A a5ef21b53187
image-generator is an agent published in the GitHub repository HUANGcvs/MeiGen-AI-Design-MCP (8 stars, last pushed yesterday), licensed MIT. It adds 265 tokens to every session and 458 once invoked, about $0.0013 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to image-generator, differing in 66 lines, and is treated as a copy.
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