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 buildfastwithai/gen-ai-experiments --skill react-screenshot-recreatorgit clone --depth 1 https://github.com/buildfastwithai/gen-ai-experimentsWrote 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/buildfastwithai/gen-ai-experiments/react-screenshot-recreator)<a href="https://agentmods.dev/skills/buildfastwithai/gen-ai-experiments/react-screenshot-recreator"><img src="https://agentmods.dev/badge/skills/buildfastwithai/gen-ai-experiments/react-screenshot-recreator/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/buildfastwithai/gen-ai-experiments/react-screenshot-recreator"><img src="https://agentmods.dev/badge/skills/buildfastwithai/gen-ai-experiments/react-screenshot-recreator.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 | $0.00185 | $0.02618 |
| Opus 5 | $0.00093 | $0.01309 |
| Sonnet 5 | $0.00037 | $0.00524 |
| Haiku 4.5 | $0.00018 | $0.00262 |
Grade A, and why
react-screenshot-recreator 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 13d 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
React Component Screenshot Recreator
Turn a screenshot of an interface into React code that a designer would look at, next to the original, and struggle to tell apart.
The failure mode this skill exists to prevent is the plausible approximation: code that captures the gist — a card, a heading, a button — while getting every spacing value, weight, radius, and shadow slightly wrong. The result feels like a sketch of the design rather than the design. Slightly wrong everywhere reads as unmistakably wrong.
Two habits prevent it. First, measure before you write — read values off the image instead of reaching for defaults. Second, reason about intent — real interfaces are built on a spacing scale, a type ramp, and a small palette, so when one value is ambiguous, infer it from the system the rest of the design reveals.
Workflow
- Audit the screenshot — a written pass over layout, type, color, effects, and state. Details you don't name, you won't build.
- Derive the design system — spacing unit, type ramp, palette, radius scale, shadow scale.
- Plan the component tree — decide what's reusable before writing any JSX.
- Write the code — TypeScript, Tailwind, semantic HTML, lucide-react icons.
- Verify against the image — walk the audit list and check each item landed.
Steps 1 and 5 are what separate a recreation from an approximation. Don't skip them, and don't collapse the audit into a single glance — writing the observations down is what makes them actionable.
Step 1 — Audit the screenshot
Look at the image carefully and write out what you see, before any code. If multiple screenshots were provided (different breakpoints, states, or scroll positions), audit each and note what changes between them — that's free information about responsive and interactive behavior.
Zoom mentally into each region. State values as numbers, not adjectives: "24px gap", not "generous spacing". A number can be translated to Tailwind; an adjective can't.
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.
- 13d ago First seen · 117 lines · 185 tokens per session scan A 1133dd0582db
react-screenshot-recreator is a skill published in the GitHub repository buildfastwithai/gen-ai-experiments (763 stars, last pushed yesterday), licensed MIT. It adds 185 tokens to every session and 2,618 once invoked, about $0.0009 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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