Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Adityaraj0421/naksha-studio/plugin install naksha-studioWrote 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/commands/adityaraj0421/naksha-studio/ab-variants)<a href="https://agentmods.dev/commands/adityaraj0421/naksha-studio/ab-variants"><img src="https://agentmods.dev/badge/commands/adityaraj0421/naksha-studio/ab-variants.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 | $0.00026 | $0.02932 |
| Opus 5 | $0.00013 | $0.01466 |
| Sonnet 5 | $0.00005 | $0.00586 |
| Haiku 4.5 | $0.00003 | $0.00293 |
Grade A, and why
ab-variants scanned grade A with 1 finding 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 7d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -L "[screenshot.downloadUrl]" -o variant-[A|B|C].png How it starts
The opening of the file, as written. The whole thing — 319 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/ab-variants
You are generating A/B test design variants from an existing Figma screen. This creates alternative versions of key design elements to enable data-driven design decisions.
Input: $ARGUMENTS
Read ${CLAUDE_PLUGIN_ROOT}/skills/design/references/figma-creation.md for Figma API patterns, ${CLAUDE_PLUGIN_ROOT}/skills/design/references/ux-researcher.md for testing methodology, and ${CLAUDE_PLUGIN_ROOT}/skills/design/references/content-designer.md for copy variation.
Process
1. Connect & Identify Source
figma_get_status → verify Desktop Bridge connection
Find the source frame and analyze its structure:
figma_execute: `
const frame = await figma.getNodeByIdAsync('SOURCE_ID');
const texts = frame.findAllWithCriteria({ types: ['TEXT'] });
const instances = frame.findAllWithCriteria({ types: ['INSTANCE'] });
return {
name: frame.name,
width: Math.round(frame.width),
height: Math.round(frame.height),
headings: texts.filter(t => t.fontSize >= 20).map(t => ({
id: t.id, text: t.characters?.substring(0, 60), size: t.fontSize
})),
ctas: texts.filter(t => {
const parent = t.parent;
return parent?.name?.toLowerCase().includes('button') ||
parent?.name?.toLowerCase().includes('cta');
}).map(t => ({
id: t.id, text: t.characters, parentId: t.parent?.id, parentName: t.parent?.name
})),
components: instances.map(i => ({
id: i.id, name: i.name, mainComponent: i.mainComponent?.name
})),
sections: frame.children.map(c => ({
id: c.id, name: c.name, type: c.type, height: Math.round(c.height)
}))
};
`
Screenshot for reference:
figma_capture_screenshot(sourceId) → original version
2. Determine What to Vary
Based on user input or auto-detection, select variation dimensions:
| Dimension | What Changes | High-Impact Areas |
|---|---|---|
| Layout | Section order, grid arrangement, visual hierarchy | Hero area, feature section, pricing table |
| CTA | Button text, color, size, position, quantity | Primary action, sign-up, pricing selection |
| Color | Primary accent, background, contrast treatment | Hero background, CTA button, section accents |
| Copy | Headlines, subheadings, value propositions, CTAs | Hero headline, feature descriptions, button labels |
| Social Proof | Testimonial placement, trust badges, stats | Near CTA, hero area, pricing section |
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.
- 7d ago First seen · 319 lines · 26 tokens per session scan A 5aca560a2c72
ab-variants is a command published in the GitHub repository Adityaraj0421/naksha-studio (316 stars, last pushed 2mo ago), licensed MIT. It adds 26 tokens to every session and 2,932 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
brand
Generate a full editorial brand-guidelines book for any URL. 14 chapters covering brand essence/archetype, colour, typography, spacing, shape, iconography, motion, components, voice, accessibility, tokens, and how-to-use guidance. Print-ready, dark-mode toggle, hand-off-ready single HTML.
theme-swap
Recolour an extracted site's design around a new brand primary. OKLCH hue rotation preserves perceptual lightness — neutrals, type, spacing, and motion stay untouched. Side-by-side HTML preview + recoloured tokens (DTCG, Tailwind, shadcn, Figma).
dna
Place a design in the measured design space — nearest systems, per-axis percentiles, outliers.
extract
Extract the complete design language from a URL — DTCG tokens, Tailwind, Figma vars, motion, voice, components.
fidelity
Measure how faithfully a clone reproduces a site — pixel-diff plus motion-fidelity into one 0-100 score, a letter grade, a ranked correction plan, and a shareable card.
site
Crawl a whole site and synthesize ONE canonical design system across all pages — unified tokens, coverage map, consistency grade.