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 PracticalSwan/agent-skills --skill figma-implement-designgit clone --depth 1 https://github.com/PracticalSwan/agent-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/practicalswan/agent-skills/figma-implement-design)<a href="https://agentmods.dev/skills/practicalswan/agent-skills/figma-implement-design"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/figma-implement-design/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/practicalswan/agent-skills/figma-implement-design"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/figma-implement-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Data Exfiltration · line 59 Code or instructions that leak agent conversation context to external services, potentially exposing sensitive user interactions.Fix: Remove any code that sends prompts, responses, or session data externally. Preserve user privacy; never exfiltrate conversation content.
- high Prompt Injection · line 261 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
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 | $0.00061 | $0.03219 |
| Opus 5 | $0.00030 | $0.01610 |
| Sonnet 5 | $0.00012 | $0.00644 |
| Haiku 4.5 | $0.00006 | $0.00322 |
Grade A, and why
figma-implement-design 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 2d 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 — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implement Design
Overview
This skill provides a structured workflow for translating Figma designs into production-ready code with pixel-perfect accuracy. It ensures consistent integration with the Figma MCP server, proper use of design tokens, and 1:1 visual parity with designs.
Skill Boundaries
- Use this skill when the deliverable is code in the user's repository.
- Use figma first for general MCP setup, design-context retrieval, screenshots, variables, and asset guidance.
- When the requested Figma operation is not covered by either local skill, inspect the active host's Figma tools and use only the operations actually exposed there.
- Do not refer to optional upstream companion skills as installed unless they are present in the current catalog.
Prerequisites
- Figma MCP server must be connected and accessible
- User must provide a Figma URL in the format:
https://figma.com/design/:fileKey/:fileName?node-id=1-2:fileKeyis the file key1-2is the node ID (the specific component or frame to implement)
- OR when using
figma-desktopMCP: User can select a node directly in the Figma desktop app (no URL required) - Project should have an established design system or component library (preferred)
Required Workflow
Follow these steps in order. Do not skip steps.
Step 1: Get Node ID
Option A: Parse from Figma URL
When the user provides a Figma URL, extract the file key and node ID to pass as arguments to MCP tools.
URL format: https://figma.com/design/:fileKey/:fileName?node-id=1-2
Extract:
- File key:
:fileKey(the segment after/design/) - Node ID:
1-2(the value of thenode-idquery parameter)
Note: When using the local desktop MCP (figma-desktop), fileKey is not passed as a parameter to tool calls. The server automatically uses the currently open file, so only nodeId is needed.
Example:
- URL:
https://figma.com/design/kL9xQn2VwM8pYrTb4ZcHjF/DesignSystem?node-id=42-15 - File key:
kL9xQn2VwM8pYrTb4ZcHjF - Node ID:
42-15
What ships with it
6 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.
- 2d ago Changed 980a767ad1cd
- 4d ago Changed edaf6357dd5d
- 7d ago First seen · 309 lines · 61 tokens per session scan A 7fd63011da00
figma-implement-design is a skill published in the GitHub repository PracticalSwan/agent-skills (14 stars, last pushed 3d ago), licensed MIT. It adds 61 tokens to every session and 3,219 once invoked, about $0.0003 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 2026-09-03.
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