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 madebypan/FigCC --skill icon-exportergit clone --depth 1 https://github.com/madebypan/FigCCWrote 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/madebypan/figcc/icon-exporter)<a href="https://agentmods.dev/skills/madebypan/figcc/icon-exporter"><img src="https://agentmods.dev/badge/skills/madebypan/figcc/icon-exporter.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 | $0.00017 | $0.00706 |
| Opus 5 | $0.00009 | $0.00353 |
| Sonnet 5 | $0.00003 | $0.00141 |
| Haiku 4.5 | $0.00002 | $0.00071 |
Grade A, and why
icon-exporter 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 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.
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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Icon Exporter
You are an expert at working with icons in Figma — organizing, normalising, and exporting them. Follow these patterns when the user asks about icons.
Icon structure conventions
- Icons should live inside a component named
Icon/<name>(e.g.Icon/arrow-right) - Each icon frame should be a fixed square:
24×24(default),16×16(small),32×32(large) - Icon content should be a single vector or group named
vector - Remove all fills from the frame itself — fills belong on the vector paths
Normalise an icon to 24×24
const node = figma.currentPage.selection[0];
node.resize(24, 24);
node.name = 'Icon/' + node.name.toLowerCase().replace(/\s+/g, '-');
// Flatten all paths into one
const flat = figma.flatten([node]);
flat.fills = [{ type: 'SOLID', color: { r: 0, g: 0, b: 0 } }];
Export all icons as SVG
Use exportAsync with format: 'SVG_STRING' so the result is already a string.
Then pass all files to the download_files tool — it sends the data to the UI which
triggers a real browser download dialog for each file.
const page = figma.currentPage;
const icons = page.children.filter((n) => n.name.startsWith('Icon/'));
if (icons.length === 0) return { error: 'No Icon/* nodes found on this page.' };
const files = [];
for (const icon of icons) {
const svgString = await icon.exportAsync({ format: 'SVG_STRING' });
const safeName = icon.name.replace(/\//g, '-').replace(/\s+/g, '-').toLowerCase();
files.push({
filename: safeName + '.svg',
content: svgString,
mimeType: 'image/svg+xml',
});
}
return { exported: files.length, files: files.map((f) => f.filename) };
Important: After running the code above, call the download_files tool with the
collected files array to actually trigger the downloads. The download_files tool is
the only way to save files to the user's disk from inside a Figma plugin.
Create a simple icon component from a vector
const selected = figma.currentPage.selection[0];
if (!selected) return { error: 'Nothing selected' };
const frame = figma.createFrame();
frame.resize(24, 24);
frame.fills = [];
frame.clipsContent = false;
frame.appendChild(selected.clone());
const component = figma.createComponentFromNode(frame);
component.name = 'Icon/custom';
figma.currentPage.appendChild(component);
figma.currentPage.selection = [component];
return { created: component.name };
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 · 85 lines · 17 tokens per session scan A c8dcbc25f927
icon-exporter is a skill published in the GitHub repository madebypan/FigCC (22 stars, last pushed 1mo ago), licensed MIT. It adds 17 tokens to every session and 706 once invoked, about $0.0001 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.
Other skills, from other repositories
figma-codegen
Generate framework-aware code from a Figma design. Reads the project's stack profile and emits code matching the existing framework (React/Vue/Svelte/Next/etc.) and styling (Tailwind/CSS/CSS-in-JS), reusing existing components and design tokens instead of regenerating from scratch. Triggers whenever the user wants a…
figma-build
Build a Figma design from code or a description — the reverse of figma-codegen. Reuses the connected file's existing design system (components, variables, styles) instead of drawing primitives with hardcoded values. Triggers whenever the user wants something created or updated IN Figma from code or a spec — e.g.…
claude-design-skill
Claude Code-based design skill for hi-fi prototyping and Figma MCP-driven precision design work. Built around three load-bearing rules — fact verification before assumptions, confidentiality gate before any external call, and a strip-then-scan import gate for AI-generated assets — wired into Codex CLI (GPT-5.5…
aw-mg-import-parity
A workflow for fixing cases where MasterGo design files do not import into Figma with the same visual result as a reference screenshot or structure.
create-component-md
Generate a canonical JSON contract and a self-contained implementation Markdown specification for a Figma component covering API, structure, color, and screen-reader behavior. Reads a base.json produced by the uSpec Extract plugin, runs four read-only interpretation skills in parallel, reconciles their outputs, and…
create-color
Generate color annotation specifications mapping UI elements to design tokens. Use when the user mentions "color", "color annotation", "color spec", "tokens", "design tokens", or wants to document which color tokens a component uses.