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 skills add YoungjaeDev/my-claude-plugins --skill gradio-cv-appgit clone --depth 1 https://github.com/YoungjaeDev/my-claude-pluginsWrote 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/youngjaedev/my-claude-plugins/gradio-cv-app)<a href="https://agentmods.dev/skills/youngjaedev/my-claude-plugins/gradio-cv-app"><img src="https://agentmods.dev/badge/skills/youngjaedev/my-claude-plugins/gradio-cv-app/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/skills/youngjaedev/my-claude-plugins/gradio-cv-app"><img src="https://agentmods.dev/badge/skills/youngjaedev/my-claude-plugins/gradio-cv-app.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 | $0.00096 | $0.01513 |
| Opus 5.5 | $0.00038 | $0.00605 |
| Sonnet 5.5 | $0.00019 | $0.00303 |
| Haiku 4.5 | $0.00010 | $0.00151 |
Grade A, and why
gradio-cv-app 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gradio CV App Generator
A skill for creating professional Gradio computer vision apps. Combines PRITHIVSAKTHIUR's functional patterns with Editorial design principles.
Design Principles
What to Avoid (AI Look)
- Purple/rainbow gradients
- Multiple mixed colors
- Excessive animations
- Colors commonly seen in AI demos like Steel Blue, Purple, etc.
What to Apply (Editorial Style)
- Solid colors + single accent
- Pretendard font (Korean support)
- Minimal and functional UI
- Ample whitespace and high contrast
- Professional tool-like feel
- Dark mode support (system preference by default)
Dark Mode Considerations
- Accent color: Must use
color_accent="*secondary_500"(emerald) instead of default primary (zinc) - Zinc primary causes poor tab text visibility in dark mode
- See refined-theme.md for complete theme settings
Supported Task Types
| Task | Description | Key Patterns |
|---|---|---|
ocr |
OCR/VLM multimodal app | Tabs, TextIteratorStreamer, Accordion |
classify |
Image classification | gr.Interface, gr.Label |
generate |
Image generation | LoRA loading, style dictionary |
segment |
Segmentation | gr.AnnotatedImage |
edit |
Image editing | LoRA adapter, prompts |
caption |
Image captioning | VLM model, copy button |
detect |
Detection (Deepfake, etc.) | Binary classification, gr.Label |
Usage
When creating a Gradio CV app:
- Identify task type: Determine the CV task from the user request
- Apply theme: Use the RefinedTheme class from refined-theme.md
- Reference templates: Check the relevant task pattern in task-templates.md
- Check reference repos: Refer to github-references.md if needed
- Generate complete app.py: Write ready-to-run code
Theme Mode
Apps support light/dark mode with automatic system preference detection.
What ships with it
4 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.
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 First seen · 171 lines · 96 tokens per session scan A 3880dd710a4b
gradio-cv-app is a skill published in the GitHub repository YoungjaeDev/my-claude-plugins (2 stars, last pushed yesterday), licensed MIT. It adds 96 tokens to every session and 1,513 once invoked, about $0.0004 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 2026-09-05.
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