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/commands/huangcvs/meigen-ai-design-mcp/gen)<a href="https://agentmods.dev/commands/huangcvs/meigen-ai-design-mcp/gen"><img src="https://agentmods.dev/badge/commands/huangcvs/meigen-ai-design-mcp/gen/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/commands/huangcvs/meigen-ai-design-mcp/gen"><img src="https://agentmods.dev/badge/commands/huangcvs/meigen-ai-design-mcp/gen.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 | $0.00027 | $0.00233 |
| Opus 5 | $0.00014 | $0.00117 |
| Sonnet 5 | $0.00005 | $0.00047 |
| Haiku 4.5 | $0.00003 | $0.00023 |
Grade A, and why
gen 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.
This is a copy
91% identical to gen — 5 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
Quick Generate
Generate an image immediately from the user's description. This is the fast path — skip exploration and go straight to generation.
Instructions
- Look at the user's prompt:
$ARGUMENTS - If the prompt is very short (under 10 words), call
enhance_promptfirst to enrich it, then use the enhanced result - If the prompt is already detailed (10+ words), use it directly
- Delegate to the image-generator agent with the prompt (keeps base64 data out of main context)
- When the agent returns, show a brief one-line creative comment about the generation
Do NOT:
- Ask for confirmation before generating
- Suggest alternatives or options
- Run search_gallery for references
- Give lengthy explanations or describe the image
- Call generate_image directly — always delegate to image-generator agent
This is a quick-fire command. Generate and show.
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 · 29 lines · 27 tokens per session scan A 7da2c164efdd
gen is a command published in the GitHub repository HUANGcvs/MeiGen-AI-Design-MCP (8 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 233 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to gen, differing in 5 lines, and is treated as a copy.
Other commands, from other repositories
gen
Quick image generation. Use when user runs /meigen:gen with a prompt. Skips intent assessment, generates directly.
director
Direct a short film from a story. Generates scenes, frames, and video clips.
compare
Diff two ComfyUI workflows to see what changed.
install
Install a ComfyUI custom node pack.
gallery
Browse and inspect generated ComfyUI outputs.
viz
Visualize a ComfyUI workflow as a mermaid diagram.