by AgentSecOps · Agent Tool · ★ 184
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SecOpsAgentKit An assortment of security operations skills for AI coding agents. A collaborative approach to shift-left security using Claude Code skills. Overview SecOpsAgentKit provides specialized Claude Code skills for security operations, covering: Application Security (AppSec): SAST/DAST, vulnerability analysis, secure code review DevSecOps: CI/CD security, infrastructure as code security, container scanning Secure SDLC: Threat modeling, security requirements, secure design patterns Compliance: Security auditing, policy enforcement, compliance frameworks Incident Response: Security event analysis, forensics, remediation workflows Quick Start Available Skills Application Security (appsec/) api-mitmproxy - Interactive HTTPS proxy for API security testing with mitmproxy traffic interception and modification api-spectral - API specification linting and security validation using Spectral for OpenAPI and AsyncAPI dast-ffuf - Fast web fuzzer using ffuf for directory enumeration and parameter fuzzing dast-nuclei - Fast, template-based vulnerability scanning using ProjectDi
| Stars | 184 |
| Forks | 35 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 68.0027071450538/100 |
| Open Issues | 18 |
| Last Updated | 2026-04-15 |
| Created | 2025-11-19 |
| Platforms | claude-code, python |
| Est. Tokens | ~37k |
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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 184 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 184 stars and 35 forks, indicating an active community.
The top alternatives to SecOpsAgentKit on Agent Skills Hub include fuzzforge_ai, orchestkit, 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.