Borrowing it
Nothing to install: this file belongs to gregpriday/create-image-mcp. 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/gregpriday/create-image-mcp/main/.claude/commands/create-style.mdgit clone --depth 1 https://github.com/gregpriday/create-image-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/gregpriday/create-image-mcp/create-style)<a href="https://agentmods.dev/commands/gregpriday/create-image-mcp/create-style"><img src="https://agentmods.dev/badge/commands/gregpriday/create-image-mcp/create-style/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/gregpriday/create-image-mcp/create-style"><img src="https://agentmods.dev/badge/commands/gregpriday/create-image-mcp/create-style.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 | $0.00009 | $0.01219 |
| Opus 5.5 | $0.00004 | $0.00488 |
| Sonnet 5.5 | $0.00002 | $0.00244 |
| Haiku 4.5 | $0.00001 | $0.00122 |
Grade A, and why
create-style 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create a New Image Style
You are creating a new style preset for the create-image MCP server. A style is a JSON file placed in create-image-styles/ that guides image generation towards a specific visual style.
Input
Style name and goal: $ARGUMENTS
Style names must be in kebab-case (e.g., ui-mockup, hand-drawn-sketch, pixel-art). The filename becomes the style name.
Reference: Existing Style Format
Read the built-in style in src/styles.js to understand the JSON structure. Each style has:
name: Human-readable display namedescription: What the style achieves (1-2 sentences)systemPrompt: The prompt text that guides the image model. This is the core of the style.defaults: Optional parameter defaults (model,size,quality,background,output_mime_type,output_compression,moderation)
Valid models: gpt-image-2.5-sunburst (precision, default) or gpt-image-2.5-flare (fast)
Valid sizes: auto or any WIDTHxHEIGHT with both edges multiples of 16, longest edge at most 3840, aspect ratio at most 3:1, 655,360-8,294,400 total pixels (e.g. 1024x1024, 1536x1024, 1024x1536, 2048x1152, 3840x2160)
Valid qualities: low, medium, high, auto
Valid backgrounds: transparent, opaque, auto
Valid output MIME types: image/png, image/jpeg, image/webp
Process
Step 1: Research the visual style
Use mcp__ask-google__ask_google to research what makes this visual style effective. Ask specifically about:
- What defines this style visually (colors, composition, line work, etc.)
- Best practices for AI image generation in this style
- What to avoid (common failure modes with AI image generators)
- How to describe it in a prompt that GPT Image 2.5 will interpret well
Do 2-3 rounds of research to refine your understanding. Be specific about GPT Image / OpenAI image models when searching.
Step 2: Draft the system prompt
Write a system prompt following these principles (learned from creating the ui-mockup style):
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.
- 1mo ago Changed · +1 lines fed691b68c58
- 2mo ago First seen · 113 lines · 9 tokens per session scan A ac9102bb3a63
create-style is a command published in the GitHub repository gregpriday/create-image-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 9 tokens to every session and 1,219 once invoked, about $0.0000 per session on Opus 5.5. 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.
create-style compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| create-stylegregpriday/create-image-mcp | Command | 0 | 1mo ago | MIT | A | 9 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | today | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | today | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | today | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | today | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | today | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | today | MIT | A | 14 | Claude Code |