by AgentSecOps · Agent Tool · ★ 109
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Security operations toolkit for AI coding agents. Give Claude Code 25+ skills to catch vulnerabilities, scan containers, detect secrets, and enforce policies automatically.
| Stars | 109 |
| Forks | 19 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 37.35/100 |
| Open Issues | 15 |
| Last Updated | 2026-04-15 |
| Created | 2025-11-19 |
| Platforms | claude-code, python |
| Est. Tokens | ~37k |
Looking for a SecOpsAgentKit alternative? If you're comparing SecOpsAgentKit with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Antidote to VibeCoding
Claude Code skill for Obsidian. Turn your vault into a living AI-first second brain. 31 commands, vault-first
Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops t
AI-first security scanner with 76 analyzers, 9,600+ detection rules, and repo poisoning detection for AI/ML, L
AI-powered offensive security agent with 7,300+ actionable security skills. Autonomous pentesting powered by M
Static Code Analysis for security teams with Inter file taint analysis. Built for finding vulnerabilities, adv
Explore other popular agent tool tools:
SecOpsAgentKit is Security operations toolkit for AI coding agents. Give Claude Code 25+ skills to catch vulnerabilities, scan containers, detect secrets, and enforce policies automatically.. It is categorized as a Agent Tool with 109 GitHub stars.
SecOpsAgentKit is primarily written in Python. It covers topics such as agents, ai-agents, anthropic.
You can find installation instructions and usage details in the SecOpsAgentKit GitHub repository at github.com/AgentSecOps/SecOpsAgentKit. The project has 109 stars and 19 forks, indicating an active community.
The top alternatives to SecOpsAgentKit on Agent Skills Hub include Auditor, obsidian-second-brain, code-on-incus. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.