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/imaginpro/imaginepro-claude-pluginWrote 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/imaginpro/imaginepro-claude-plugin/imagine-pro)<a href="https://agentmods.dev/commands/imaginpro/imaginepro-claude-plugin/imagine-pro"><img src="https://agentmods.dev/badge/commands/imaginpro/imaginepro-claude-plugin/imagine-pro.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00660 |
| Opus 5 | $0.00000 | $0.00330 |
| Sonnet 5 | $0.00000 | $0.00132 |
| Haiku 4.5 | $0.00000 | $0.00066 |
Grade A, and why
imagine-pro 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 8d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate an AI image with ImaginePro using best practices and intelligent guidance.
This command provides an enhanced image generation experience with:
- Prompt analysis and improvement suggestions
- Optimal generation settings
- Clear next-step recommendations
- Prompt engineering education
When you use this command, Claude will:
- Analyze your prompt for clarity and effectiveness
- Suggest improvements if your prompt could be more specific
- Generate the image using the
generate-imageMCP tool - Display the message ID clearly for follow-up actions
- Recommend next steps like upscaling or creating variants
- Provide prompt tips to help you improve future generations
Usage
/imagine-pro [your detailed prompt]
Examples
Basic Usage
/imagine-pro a serene mountain lake at sunset with mist rising from the water
Web Development
/imagine-pro modern SaaS hero image, collaborative team working, blue color scheme, space for headline text in upper third
UI Design
/imagine-pro minimal line icon for home navigation, simple house symbol, clean geometric, 64px, monochrome
Marketing
/imagine-pro Instagram ad creative, productivity app for remote workers, before/after split, aspirational lifestyle
Tips for Better Results
Be Specific About:
- Style: photorealistic, illustration, 3D render, hand-drawn, minimalist
- Composition: centered, rule of thirds, negative space, text overlay area
- Colors: specific palette, brand colors, mood-based colors
- Lighting: natural, studio, dramatic, soft, golden hour
- Quality: high quality, 4k, professional, detailed
For Web Assets:
- Mention dimensions or use case (hero image, background, card)
- Specify where text will appear
- Include mood/emotion to convey
For Icons:
- State the size (design at 64px for clarity)
- Mention style (minimal, filled, outlined)
- Specify single color or brand colors
For Marketing:
- Include platform (Instagram, Facebook, LinkedIn)
- Mention target audience or emotion
- Specify room for CTA or headline
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.
- 8d ago First seen · 93 lines · 0 tokens per session scan A 282e8817d3e8
imagine-pro is a command published in the GitHub repository imaginpro/imaginepro-claude-plugin (5 stars, last pushed 10mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 660 tokens. 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.
Other commands, from other repositories
make-reel
Generate a cinematic vertical reel via the Poppify MCP — photo-led or topic-led. Uses the poppify-build-reel skill for the canonical flow.
troubleshoot
Diagnose a Poppify reel that came out wrong. Walks the symptom → root cause → action decision tree.
verify-render
Download a rendered Poppify reel, run ffprobe + frame extract, surface a verdict on whether the render matches what was requested.
imagegen
Generate an image (or a coherent set of images) from a prompt — /imagegen " ". Or run /imagegen setup to verify the install. Routes through the imagegen MCP server (Codex CLI / gpt-image).
edit
Edit an existing image at a given path with a natural-language instruction. Routes through Codex CLI's gpt-image edit tool.
img
Alias of /imagegen. Generate an image from a prompt and save it under the workspace's standard image directory.