Borrowing it
Nothing to install: this file belongs to TrungLee003/figma-agent-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/TrungLee003/figma-agent-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/TrungLee003/figma-agent-mcpWrote 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/instructions/trunglee003/figma-agent-mcp/agents-md)<a href="https://agentmods.dev/instructions/trunglee003/figma-agent-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/trunglee003/figma-agent-mcp/agents-md/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/instructions/trunglee003/figma-agent-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/trunglee003/figma-agent-mcp/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00641 | $0.00641 |
| Opus 5.5 | $0.00256 | $0.00256 |
| Sonnet 5.5 | $0.00128 | $0.00128 |
| Haiku 4.5 | $0.00064 | $0.00064 |
Grade A, and why
figma-agent-mcp AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- figma-agent-mcp GEMINI.md — 95% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 34 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Figma Agent MCP Guidelines
This file provides rules and best practices for AI coding agents (Antigravity, Claude Code, Cursor, Copilot) when performing Figma design tasks.
🚀 Instant Single-Turn Execution (No Exploratory Latency)
-
NEVER search the filesystem for tool schemas:
- All 50 Figma MCP tools (
figma.batch_execute,figma.create_frame,figma.run_skill,figma.resolve_design_system, etc.) are natively available. - Do NOT run grep, find_by_name, or bash scripts looking for
.tsschemas.
- All 50 Figma MCP tools (
-
ALWAYS use
figma.batch_executefor multi-node designs:- Never make 20-30 sequential tool calls.
- Package all creation, auto-layout, styling, and text commands into 1 single atomic batch transaction using symbolic references (
ref,parentRef,nodeRef,$ref:name).
-
ALWAYS enforce Auto Layout & Design Standards:
- Never use manual coordinates ($x, y$) for child elements.
- Use
mode: "VERTICAL"or"HORIZONTAL", padding (16,24), itemSpacing (8,12,16,20,24). - Use
layoutSizingHorizontal: "FILL"andlayoutSizingVertical: "HUG"for responsive nesting. - Modern palettes:
#FFFFFFon#F8FAFC(subtle border1px SOLID #E2E8F0) or#1E293Bon#0F172A(border#334155), primary accent#6366F1(Indigo).
🧩 Figma Agent Skills Catalog
The 9 Agent Workflow Skills are located in skills/, .agents/skills/, and .gemini/skills/:
inspect-design(skill.inspect_design): Deep inspect hierarchy, compact DSL, and WCAG contrast.create-screen(skill.create_screen): Construct responsive full-screen frames (mobile, tablet, desktop, modal).edit-selection(skill.edit_selection): Batch update styling, padding, gap, radius on active selection.create-component(skill.create_component): Convert frame to reusable Master Component.apply-design-system(skill.apply_design_system): Scan raw elements and bind Color Variables & Spacing Tokens.validate-design(skill.validate_design): Design QA scoring (0-100), WCAG AA/AAA, Auto Layout compliance.create-design-system(skill.create_design_system): Generate turnkey Color Tokens, Paint Styles, and Button Component.auto-fix-accessibility(skill.auto_fix_accessibility): Automatically repair text colors violating WCAG contrast.convert-wireframe-to-hifi(skill.convert_wireframe_to_hifi): Upgrade wireframe boxes to modern polished UI Cards.
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.
- 2mo ago First seen · 34 lines · 641 tokens per session scan A e2b20f39f903
figma-agent-mcp AGENTS.md is an instructions file published in the GitHub repository TrungLee003/figma-agent-mcp (1 stars, last pushed 2mo ago), licensed MIT. It adds 641 tokens to every session, about $0.0026 per session on Opus 5.5. 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 2026-08-31.
figma-agent-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| figma-agent-mcp AGENTS.mdTrungLee003/figma-agent-mcp | Instructions file | 1 | 2mo ago | MIT | A | 641 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |