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 mukul975 · MCP Server · ★ 31.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Anthropic-Cybersecurity-Skills safe to install? View the security audit →
Featured in: Security Auditing · Agent Security
734+ cybersecurity skills for AI agents · agentskills.io open standard Warning: Community Project -- Not affiliated with Anthropic PBC. This is an independent, community-created collection. "Anthropic" in the repository name refers to the agentskills.io standard compatibility, not official Anthropic affiliation. The largest open-source collection of cybersecurity skills for AI agents. Every skill follows the agentskills.io open standard and works instantly with Claude Code, GitHub Copilot, OpenAI Codex CLI, Cursor, Gemini CLI, and 20+ other platforms. Quick Start Method 1: np
| Stars | 31,796 |
| Forks | 3,832 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68.0347032077829/100 |
| Open Issues | 50 |
| Last Updated | 2026-08-31 |
| Created | 2026-02-25 |
| Platforms | claude-code, cli, codex, gemini, mcp, python |
| Est. Tokens | ~15k |
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Anthropic-Cybersecurity-Skills is 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with. It is categorized as a MCP Server with 31.8k GitHub stars.
Anthropic-Cybersecurity-Skills is primarily written in Python. It covers topics such as ai-agents, claude-code, cloud-security.
You can find installation instructions and usage details in the Anthropic-Cybersecurity-Skills GitHub repository at github.com/mukul975/Anthropic-Cybersecurity-Skills. The project has 31.8k stars and 3832 forks, indicating an active community.
Anthropic-Cybersecurity-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 Anthropic-Cybersecurity-Skills on Agent Skills Hub include cursor-talk-to-figma-mcp, AI-Infra-Guard, ai-guide. 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: