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 rubenmarcus/ralph-starter --skill ralph-figmagit clone --depth 1 https://github.com/rubenmarcus/ralph-starterWrote 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/rubenmarcus/ralph-starter/ralph-figma)<a href="https://agentmods.dev/skills/rubenmarcus/ralph-starter/ralph-figma"><img src="https://agentmods.dev/badge/skills/rubenmarcus/ralph-starter/ralph-figma/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/rubenmarcus/ralph-starter/ralph-figma"><img src="https://agentmods.dev/badge/skills/rubenmarcus/ralph-starter/ralph-figma.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 | $0.00014 | $0.00206 |
| Opus 5.5 | $0.00006 | $0.00082 |
| Sonnet 5.5 | $0.00003 | $0.00041 |
| Haiku 4.5 | $0.00001 | $0.00021 |
Grade A, and why
ralph-figma 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.
What it actually says
Extract a Figma design and build it as production code.
- Use
ralph_fetch_specwithsource: "figma"and the Figma file URL asidentifier- Modes:
spec(full design spec),tokens(CSS/Tailwind design tokens),components(component code),content(text/IA),assets(icons/images)
- Modes:
- Review the extracted spec — check colors, typography, spacing, and component structure
- Use
ralph_runto build the implementation:- Set
from: "figma"to fetch directly from the Figma source - The agent iterates until the UI matches the design spec
- Validation runs between iterations to catch issues early
- Set
Supported frameworks: React, Vue, Svelte, Astro, Next.js, Nuxt, HTML.
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 · 17 lines · 14 tokens per session scan A 15e7d999b6b3
ralph-figma is a skill published in the GitHub repository rubenmarcus/ralph-starter (107 stars, last pushed 5d ago), licensed MIT. It adds 14 tokens to every session and 206 once invoked, about $0.0001 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 2026-08-30.
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