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.
npx agentmods add commands/imaginpro/imaginepro-claude-plugin/upscale-itgit 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/upscale-it)<a href="https://agentmods.dev/commands/imaginpro/imaginepro-claude-plugin/upscale-it"><img src="https://agentmods.dev/badge/commands/imaginpro/imaginepro-claude-plugin/upscale-it.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 | $0.00000 | $0.00826 |
| Opus 5 | $0.00000 | $0.00413 |
| Sonnet 5 | $0.00000 | $0.00165 |
| Haiku 4.5 | $0.00000 | $0.00083 |
Grade A, and why
upscale-it 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 5d 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Upscale an ImaginePro generated image to higher resolution and enhanced quality.
This command provides quick, friction-free upscaling for production-ready assets.
Usage
/upscale-it [messageId]
The message ID is provided when you generate an image using /imagine-pro or the generate-image MCP tool.
When to Upscale
Always upscale before using images in production:
- Web hero images and backgrounds
- Marketing materials and ads
- Print materials
- High-quality presentations
- Final product assets
You can skip upscaling for:
- Quick prototypes and mockups
- Internal review and iteration
- Placeholder images during development
- Proof-of-concept demonstrations
What Upscaling Does
Upscaling enhances your image with:
- Higher Resolution: Increased pixel dimensions for sharper display
- Enhanced Detail: AI-powered detail enhancement
- Better Quality: Improved clarity and sharpness
- Production-Ready: Suitable for professional use cases
Examples
After Generating an Image
[You just used /imagine-pro and got message ID: abc123xyz]
/upscale-it abc123xyz
Multiple Images
# Upscale your best variant
/upscale-it variant-1-abc
/upscale-it variant-2-def
/upscale-it variant-3-ghi
Workflow Integration
Typical Image Workflow
- Generate initial image:
/imagine-pro [prompt] - Review result (message ID: abc123)
- Optionally create variants:
/vary-it abc123 - Choose best version
- Upscale for production:
/upscale-it [best-messageId] - Download and use in project
A/B Testing Workflow
- Generate 3 variants for testing
- Test all three at standard quality
- Identify winning variant
- Upscale only the winner:
/upscale-it [winner-messageId] - Use upscaled version in production
Performance Notes
- Processing Time: Upscaling typically takes 30-60 seconds
- New Message ID: Upscaling creates a new message ID for the enhanced version
- Original Preserved: Your original image remains available at its original ID
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.
- 5d ago First seen · 124 lines · 0 tokens per session scan A 3856f5c7d081
upscale-it 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 826 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
generate-image
Generate or edit images using AI (Gemini/OpenAI/xAI/OpenRouter).
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.
verify-render
Download a rendered Poppify reel, run ffprobe + frame extract, surface a verdict on whether the render matches what was requested.
troubleshoot
Diagnose a Poppify reel that came out wrong. Walks the symptom → root cause → action decision tree.
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.