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 southleft/figma-console-mcp-skills --skill figma-design-system-inventorygit clone --depth 1 https://github.com/southleft/figma-console-mcp-skillsWrote 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/southleft/figma-console-mcp-skills/figma-design-system-inventory)<a href="https://agentmods.dev/skills/southleft/figma-console-mcp-skills/figma-design-system-inventory"><img src="https://agentmods.dev/badge/skills/southleft/figma-console-mcp-skills/figma-design-system-inventory/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/southleft/figma-console-mcp-skills/figma-design-system-inventory"><img src="https://agentmods.dev/badge/skills/southleft/figma-console-mcp-skills/figma-design-system-inventory.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 | $0.00159 | $0.01031 |
| Opus 5 | $0.00079 | $0.00515 |
| Sonnet 5 | $0.00032 | $0.00206 |
| Haiku 4.5 | $0.00016 | $0.00103 |
Grade A, and why
figma-design-system-inventory 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 12d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- design-system-inventory-figma — 95% identical, 10 lines differ
How it starts
The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
figma-design-system-inventory — unified tokens + components + styles extraction
A single use_figma call that walks the whole file and returns a structured kit:
tokens (every local variable, grouped by collection and mode), components (standalone
components + component sets, with property definitions and a compact visualSpec per variant), and
styles (paint/text/effect styles with their resolved values). It is the "read everything once"
front door for code generation and library audits.
Skill boundaries
use_figmarules — load the officialfigma-useskill first; it is the full Figma Plugin API reference. Essentials these scripts rely on: plain JS with top-levelawait+return(no IIFE, nofigma.closePlugin();console.logis not returned), inputs inlined asconstat the top of each script, colors in 0–1 range, load fonts before any text op,await figma.getNodeByIdAsync(...), and atomic errors (a failed script applies nothing — read the error, fix, retry).- The exact shape of each
visualSpec→ references/visual-spec.md. - One component in unlimited depth (full tree, reactions, instance refs) →
use
figma-deep-component. One variant set as a CSS state machine → usefigma-analyze-component-set. Token files on disk → usefigma-export-tokens. - This is a whole-system design capability the native MCP does not have:
get_design_contextworks on a single selection andget_metadatareturns flat structure, neither gives a unified tokens+components+styles kit on ANY plan.
Workflow
- Pick scope & verbosity to control response size on big files. Edit the constants in
scripts/inventory.js:INCLUDE— any of"tokens","components","styles"(default: all three).VERBOSITY—"full"(per-variant visual specs),"summary"(component metadata + props, no per-variant specs), or"inventory"(names/ids/counts only — for huge files).COMPONENT_NAME_FILTER— substring to limit components (e.g."Button").
- Run via
use_figma(skillNames: "figma-design-system-inventory"). Reads variables through the Plugin API, so it works on every Figma plan (no Enterprise REST requirement). - Consume. Use
tokensfor color/spacing/typography values,components[].propertiesfor the component API,components[].variants[].visualSpecfor per-state appearance, andstylesfor any style-based (non-variable) values. - If the result is still large, drop to a lower
VERBOSITYor narrowINCLUDE/COMPONENT_NAME_FILTERand re-run — don't try to page a giantfulldump.
What ships with it
2 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.
- 12d ago First seen · 50 lines · 159 tokens per session scan A 09d5e59f8d17
figma-design-system-inventory is a skill published in the GitHub repository southleft/figma-console-mcp-skills (81 stars, last pushed 26d ago), licensed MIT. It adds 159 tokens to every session and 1,031 once invoked, about $0.0008 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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ai-component-description
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context-engine-builder
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