by southleft · MCP Server · ★ 95
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/southleft/figma-console-mcp-skills.gitTaken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 95 |
| Forks | 5 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 60/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-16 |
| Created | 2026-05-31 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~13k |
Figma Console MCP Skills The most powerful Figma Console MCP capabilities, repackaged as Markdown skills for the native Figma MCP server. The official Figma MCP server is powerful and general-purpose: it reads designs (, , , , ) and writes to Figma through , which runs Figma Plugin API JavaScript.
These tools work well together with figma-console-mcp-skills for enhanced workflows:
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A free, open-source add-on for Claude, ChatGPT, Codex and Cursor that turns a few plain answers into a design
Inspect, build, or extend Figma design systems from Claude Code. Read-only audits with WCAG checks and compone
AI can draw UI directly on the Figma canvas via JavaScript, and read existing designs back as structured data.
Claude Code skills for the work that keeps a design system alive
Local Figma MCP server with no REST rate limits, no metered tool-call quotas, and a verification loop. Drop-in
The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plug
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: