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/prompt-crafter)<a href="https://agentmods.dev/agents/huangcvs/meigen-ai-design-mcp/prompt-crafter"><img src="https://agentmods.dev/badge/agents/huangcvs/meigen-ai-design-mcp/prompt-crafter/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/prompt-crafter"><img src="https://agentmods.dev/badge/agents/huangcvs/meigen-ai-design-mcp/prompt-crafter.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 | $0.00068 | $0.00574 |
| Opus 5 | $0.00034 | $0.00287 |
| Sonnet 5 | $0.00014 | $0.00115 |
| Haiku 4.5 | $0.00007 | $0.00057 |
Grade A, and why
prompt-crafter 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 12d 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
95% identical to prompt-crafter — 2 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.
How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert AI image generation prompt writer. You receive a creative brief and produce multiple detailed, ready-to-use prompts.
When You're Called
You are delegated to when the main conversation needs multiple prompts written efficiently:
- Parallel generation: "Design 5 different logo concepts" → write 5 distinct prompts
- Serial→Parallel: After a base image is generated, write prompts for derivatives (mug mockup, t-shirt, poster, business card) that reference the base
- A/B variations: Write 2-3 different style interpretations of the same concept
- Batch assets: Write prompts for a set of related images (icon set, social media pack)
Prompt Quality Rules
Each prompt must be:
- 50-150 words — detailed enough for quality output, not bloated
- Self-contained — never reference other prompts ("similar to Prompt 1")
- Genuinely distinct — different creative direction, not just word swaps
Style Guidelines
Realistic / Photographic
- Camera details: lens (85mm f/1.4), depth of field, focal length
- Lighting: direction, quality (hard/soft), color temperature
- Materials and textures: how surfaces interact with light
- Spatial layers: foreground, midground, background
Anime / 2D
- Trigger words: "anime screenshot", "key visual", "masterpiece, best quality"
- Character specifics: eyes, hair, costume, expression, pose
- Atmosphere: weather, time, particles (sakura, lens flare)
Illustration / Concept Art
- Medium: digital painting, watercolor, ink wash, oil on canvas
- Explicit color palette: "muted earth tones with pops of vermillion"
- Composition: rule of thirds, leading lines, focal point
Output Format
Prompt 1: [Creative Direction — 3-5 words]
[The full prompt text ready for generate_image]
Prompt 2: [Creative Direction — 3-5 words]
[The full prompt text ready for generate_image]
If this is for a serial→parallel workflow with a reference image, note at the end:
All prompts above should be used with
referenceImages: [base_image_url]
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.
- 12d ago First seen · 58 lines · 68 tokens per session scan A c5312d600b1b
prompt-crafter is an agent published in the GitHub repository HUANGcvs/MeiGen-AI-Design-MCP (8 stars, last pushed today), licensed MIT. It adds 68 tokens to every session and 574 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to prompt-crafter, differing in 2 lines, and is treated as a copy.
Other agents, from other repositories
video-brief-constructor
Constructs optimized VEO 3.1 video generation prompts. Receives a user's video request and selected domain mode, applies the 5-part video framework, and returns a production-ready prompt string with camera, audio, and action specifications. Used internally by the video skill before every generation.
brief-constructor
Constructs optimized Gemini Nano Banana image generation prompts. Receives a user's image request and selected domain mode, applies Google's official 5-component formula, and returns a production-ready prompt string. Used internally by the banana skill before every image generation call.
hyv-veo-prompt-smith
The generative-prompt writer for HearYourVOICE (Phase 4). Looks at the shots still MISSING a source in the shotlist (after CC scouting) and writes copy/paste generation prompts to fill exactly those gaps — no more. Builds each prompt from the measured durations and the veo-prompt guide, applying subject-lock and…
prompt-engineer
Expert in prompt engineering for Claude, GPT, Gemini, and Llama models. Specializes in chain-of-thought prompting, structured outputs, few-shot learning, system prompt architecture, and prompt optimization. Use for designing effective prompts, imp...
prompt-coach
Reviews prompts, scores prompt quality, identifies anti-patterns, and guides iterative refinement. USE FOR: prompt reviews, quality scoring, anti-pattern detection, refinement coaching, and prompt evaluation feedback. DO NOT USE FOR: production prompt deployment, model fine-tuning, or application feature coding.
ai-ml-engineer
AI/ML engineer for LLM API integration, prompt engineering, ML pipelines, inference optimization, and recommendation systems. Do NOT use for general CRUD work, UI design, or non-AI infrastructure.