better-icons: Skill and MCP server for searching and retrieving icons

by better-auth · MCP Server · ★ 1.5k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install better-icons

npx skills add better-auth/better-icons
npm install -g better-icons

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 73/100

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. Full audit →

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.

Quick Facts

Stars1,459
Forks64
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score73/100
Open Issues2
Last Updated2026-04-02
Created2026-01-22
Platformsmcp, node
Est. Tokens~7k

About better-icons

Better Icons Search and retrieve 200,000+ icons from 150+ icon collections. Works as an MCP server for AI agents or CLI tool. Quick Start Add Skills Enable the CLI features in your agent environment (matches all examples below): Direct CLI Installation Alternatively, install the CLI globally for direct non-agent use: MCP Server (AI Agents) Configure the MCP server to enable icon tools in your AI...

Compatible Skills

These tools work well together with better-icons for enhanced workflows:

  • thesvg — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (62%)
  • discogs-mcp-server — semantic(0.44)+same_lang+similar_pop+shared_platform (50%)
  • mcp-server-asana — semantic(0.44)+same_lang+similar_pop+shared_platform (50%)
  • mcp-server-datadog — semantic(0.44)+same_lang+similar_pop+shared_platform (50%)
  • figma-mcp-server — semantic(0.44)+same_lang+similar_pop+shared_platform (50%)

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How this security grade is produced

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:

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