No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by auth0 · Agent Tool · ★ 52
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-skills safe to install? View the security audit →
Auth0 Agent Skills AI agent skills that help coding assistants implement Auth0 authentication correctly. Works with Claude Code, Cursor, GitHub Copilot, and 40+ other agents that support the Agent Skills format. Documentation · Getting Started · Feedback Prerequisites An Auth0 account (free) An AI coding assistant (Claude Code, Cursor, GitHub Copilot, or any Agent Skills-compatible tool) Install Claude Code Auth0 is on the official Claude Code plugins marketplace: Or type in a session, go to Discover, and search "Auth0". From the terminal (no session needed): Cursor Auth0 is on the Cursor marketplace. Open the listing and click Add to install. You can also install via and enter this repository URL. bash npx skills add auth0/
| Stars | 52 |
| Forks | 28 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 68.9193904535691/100 |
| Open Issues | 14 |
| Last Updated | 2026-09-25 |
| Created | 2026-01-23 |
| Platforms | python |
| Est. Tokens | ~15k |
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agent-skills is Auth0 Agent Skills. It is categorized as a Agent Tool with 52 GitHub stars.
agent-skills is primarily written in Python. It covers topics such as agents, ai, auth0.
You can find installation instructions and usage details in the agent-skills GitHub repository at github.com/auth0/agent-skills. The project has 52 stars and 28 forks, indicating an active community.
agent-skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to agent-skills on Agent Skills Hub include mcp-agent-langchainjs, frontmcp, craftdesk. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: