Borrowing it
Nothing to install: this file belongs to mtarcure/claude-vibe-squad. 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/mtarcure/claude-vibe-squad/main/.agents/skills/figma-implement-design/SKILL.mdgit clone --depth 1 https://github.com/mtarcure/claude-vibe-squadWrote 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/mtarcure/claude-vibe-squad/figma-implement-design)<a href="https://agentmods.dev/skills/mtarcure/claude-vibe-squad/figma-implement-design"><img src="https://agentmods.dev/badge/skills/mtarcure/claude-vibe-squad/figma-implement-design/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/mtarcure/claude-vibe-squad/figma-implement-design"><img src="https://agentmods.dev/badge/skills/mtarcure/claude-vibe-squad/figma-implement-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00067 | $0.00302 |
| Opus 5 | $0.00034 | $0.00151 |
| Sonnet 5 | $0.00013 | $0.00060 |
| Haiku 4.5 | $0.00007 | $0.00030 |
Grade A, and why
figma-implement-design 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 9d 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
Figma Implement Design
Translate a Figma design into production UI code faithfully — tokens, components, states, and responsive behavior — not a pixel-approximation.
Steps
- Read the design's structure and design tokens (color, type, spacing, radius) from the source, not from a screenshot guess.
- Map Figma components to existing code components; reuse the design system rather than re-implementing primitives.
- Implement layout with the real layout model (auto-layout → fl/grid), not absolute pixel offsets.
- Cover all states and variants (hover/focus/active/disabled/empty/error) and responsive breakpoints the design specifies.
- Verify against the source for fidelity and against
wcag-conformance-auditfor accessibility; flag any design gap (missing state/token) back rather than inventing it.
Acceptance
- Tokens and components map to the design system; no re-implemented primitives.
- All specified states, variants, and breakpoints are implemented.
- Output is verified for fidelity and accessibility; design gaps are flagged, not guessed.
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.
- 9d ago First seen · 22 lines · 67 tokens per session scan A 0fb0144f3a3d
figma-implement-design is a skill published in the GitHub repository mtarcure/claude-vibe-squad (122 stars, last pushed yesterday), licensed MIT. It adds 67 tokens to every session and 302 once invoked, about $0.0003 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 2026-08-30.
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