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 skills/codex-curator/studiomcphub/studionpx skills add codex-curator/studiomcphub --skill studiogit clone --depth 1 https://github.com/codex-curator/studiomcphubWrote 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/skills/codex-curator/studiomcphub/studio)<a href="https://agentmods.dev/skills/codex-curator/studiomcphub/studio"><img src="https://agentmods.dev/badge/skills/codex-curator/studiomcphub/studio.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 | $0.00073 | $0.00589 |
| Opus 5 | $0.00036 | $0.00295 |
| Sonnet 5 | $0.00015 | $0.00118 |
| Haiku 4.5 | $0.00007 | $0.00059 |
Grade A, and why
studiomcphub-studio 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 3d 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.
What it actually says
StudioMCPHub Studio
Image to Retail in 90 seconds.
Drop an image, get back: transparent PNG, color palette, product mockups (6 products), CMYK print files, print-ready PDFs with bleed/crop marks, SVG vectors, invisible watermarks, AI-enriched metadata, and 4x ESRGAN upscales. All organized in a local DAM with HTML preview.
Quick Start
pip install studiomcphub-studio
studio init my-project && cd my-project
studio process artwork.png -c my-collection
studio preview my-collection
Pipeline Stages
| # | Stage | What it does | Free? |
|---|---|---|---|
| 1 | remove_bg | Transparent PNG (U2-Net) | Yes |
| 2 | palette | 6-color hex palette | Yes |
| 3 | resize | Fit to max dimensions | Yes |
| 4 | mockup | T-shirt, poster, canvas, phone, mug, tote | Yes |
| 5 | cmyk | CMYK @ 300 DPI for print | Yes |
| 6 | print_ready | PDF with bleed + crop marks | Yes |
| 7 | vectorize | SVG via vtracer | Yes |
| 8 | watermark | Invisible DCT watermark | Yes |
| 9 | enrich | AI metadata (Gemini) | 1-2 GCX |
| 10 | upscale | 4x ESRGAN | 1 GCX |
Configuration
Edit studio.json to customize stages, mockup products, print sizes, and more.
POD Export (Phase 2)
studio export my-collection --platform gooten
studio export my-collection --platform printful
studio export my-collection --platform printify
What ships with it
33 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- pyproject.toml 1.1 KB
- README.md 413 B
- studio.example.json 830 B
- studio/__init__.py 304 B runs code
- studio/__main__.py 74 B runs code
- studio/cli.py 7.1 KB runs code
- studio/client.py 3.5 KB runs code
- studio/config.py 2.0 KB runs code
- studio/connectors/__init__.py 700 B runs code
- studio/connectors/gooten.py 871 B runs code
- studio/connectors/printful.py 743 B runs code
- studio/connectors/printify.py 736 B runs code
- studio/dam.py 4.1 KB runs code
- studio/models.py 2.2 KB runs code
- studio/pipeline.py 3.2 KB runs code
- studio/preview.py 1.7 KB runs code
- studio/stages/__init__.py 2.5 KB runs code
- studio/stages/color_profile.py 1.1 KB runs code
- studio/stages/enrich.py 1.4 KB runs code
- studio/stages/mockup.py 1.6 KB runs code
- studio/stages/palette.py 1012 B runs code
- studio/stages/print_ready.py 2.1 KB runs code
- studio/stages/remove_bg.py 1.1 KB runs code
- studio/stages/resize.py 1.3 KB runs code
- studio/stages/upscale.py 1.2 KB runs code
- studio/stages/vectorize.py 1.0 KB runs code
- studio/stages/watermark.py 1.2 KB runs code
- studio/templates/gallery.html 4.9 KB
- tests/__init__.py 0 B runs code
- tests/conftest.py 1.7 KB runs code
- tests/test_client.py 1.2 KB runs code
- tests/test_dam.py 1.9 KB runs code
- tests/test_pipeline.py 2.6 KB runs code
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.
- 3d ago First seen · 64 lines · 73 tokens per session scan A 2f63a5830e83
studiomcphub-studio is a skill published in the GitHub repository codex-curator/studiomcphub (7 stars, last pushed 17d ago), licensed MIT. It adds 73 tokens to every session and 589 once invoked, about $0.0004 per session on Opus 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.
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