Borrowing it
Nothing to install: this file belongs to YankielDBC2/codex-skills-library. 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/YankielDBC2/codex-skills-library/main/.agents/skills/image-reference-to-ui-implementation-v2/SKILL.mdgit clone --depth 1 https://github.com/YankielDBC2/codex-skills-libraryWrote 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/yankieldbc2/codex-skills-library/image-reference-to-ui-implementation-v2)<a href="https://agentmods.dev/skills/yankieldbc2/codex-skills-library/image-reference-to-ui-implementation-v2"><img src="https://agentmods.dev/badge/skills/yankieldbc2/codex-skills-library/image-reference-to-ui-implementation-v2.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 | $0.00039 | $0.00382 |
| Opus 5 | $0.00019 | $0.00191 |
| Sonnet 5 | $0.00008 | $0.00076 |
| Haiku 4.5 | $0.00004 | $0.00038 |
Grade A, and why
image-reference-to-ui-implementation-v2 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 6d 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
Image Reference to UI Implementation v2
Goal
Translate visual references into buildable UI direction while adapting them to the project brand, content, and technical constraints.
When to use
Use when the user provides screenshots, images, design inspiration, website references, mockups, or asks for a UI similar in feel to another design.
Workflow
- Analyze the reference by layout, density, type scale, color, spacing, imagery, motion, and interaction patterns.
- Extract principles instead of copying blindly: hierarchy, rhythm, motif, card shape, texture, navigation style, and content density.
- Map the reference to the project stack, existing components, and brand needs.
- Call out what should be adapted, simplified, or avoided for performance, accessibility, or originality.
- Implement a first pass using real project content and reusable components when possible.
- Compare the result against the reference qualities, not exact pixels unless the user requests pixel matching.
Quality bar
- Run available frontend validation commands.
- Inspect responsive states where reference-driven layouts may break.
- Check that images, text, and interactive elements remain accessible.
Validation
- The UI captures the reference mood without becoming a clone.
- Implementation respects the repo style system and responsive behavior.
- Visual choices are explained as design decisions, not guesses.
Final response
- Summarize extracted reference qualities, implementation choices, and remaining polish opportunities.
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.
- 6d ago First seen · 50 lines · 39 tokens per session scan A 8e962008d566
image-reference-to-ui-implementation-v2 is a skill published in the GitHub repository YankielDBC2/codex-skills-library (10 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 382 once invoked, about $0.0002 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.
Other skills, from other repositories
shadcn
Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI, including chat interfaces. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a components.json…
component-search
Search 21st.dev component registry for production-ready React components. Finds components by natural language description, filters by framework and style system, returns ranked results with install instructions. Use when looking for UI components, finding alternatives to existing components, or sourcing design system…
frontend-ui-design
Use when design and build production-grade UI components using React, Vue, or vanilla HTML/CSS. Create responsive layouts, design systems, and accessible interfaces. Use when designing and build production-grade ui components using react, vue, or.
anti-slop-frontend
Use when anti-slop frontend framework for AI agents. Enforces better layout, typography, motion, and spacing to counter generic AI-generated boilerplate UIs. Use when building frontend, countering generic AI UIs, need distinctive visual design, image-to-code pipeline.
frontend-design
Create distinctive, production-grade Stellar dApp UI. Combines bold aesthetic direction with smart contract integration patterns — wallet connection flows, transaction UX, contract data displays, and agentic kit hook wiring. No generic "AI slop" aesthetics.
cyber_fantasy_ui
Generate dark neon cyber-fantasy dashboards, glassmorphism surfaces, and gamified React and Tailwind UIs.