8 AI Agents Turn Terminal into Free Cyber Audit Lab
One command spawns 8 specialist AI agents in Claude Code to audit codebases for vulnerabilities across OWASP Top 10, CWE Top 25, and more—boosted Claude Ads score from 62/100 (C) to 90/100 after fixes.
Multi-Agent Auditing Beats Single Scanners
Claude Cybersecurity deploys 8 parallel specialist AI agents for comprehensive codebase analysis, outperforming traditional SAST tools like GitHub Advanced Security by reasoning about missing elements (e.g., absent auth checks, race conditions) rather than just pattern matching. Agents handle: vulnerability detection, authorization verification, secret scanning, supply chain analysis, IaC security, threat intelligence (malware, backdoors), AI-generated code patterns, and business logic flaws. Process starts with Phase 1 reconnaissance (identifies stack, languages, frameworks, entry points, trust boundaries), then spawns agents for cross-validation—issues confirmed by multiple agents (e.g., 7/8 flagged SSRF in fetch_page.py) gain high confidence. Outputs include overall score (e.g., 62/100 Grade C), category breakdowns (vulnerability detection, auth/access control, secrets, dependencies), top 5 deduplicated findings, PDF reports, and fix templates. Additional commands: /cybersecurity scope quick (fast scan), diff (changed files), compliance mapping.
Broad Coverage Suppresses False Positives
Handles 11 languages (Python, JS/TS, Java, Go, Rust, C/C++, Ruby, PHP, C#, Swift/Kotlin, Shell), 4 IaC platforms (Terraform, Docker, Kubernetes, GitHub Actions), and framework-aware suppression for 10 frameworks (Django, Flask, React, Spring Boot, Rails, etc.) to reduce noise. Maps to standards: OWASP Top 10:2025 (all 10, including new A03 Supply Chain, A10 Exceptional Conditions), CWE Top 25:2024 (25 sections), MITRE ATT&CK (7 techniques: T1059, T1027, T1071, T1195, T1005, T1041, T1496), 5 compliance frameworks (PCI DSS 4.0, HIPAA, SOC 2, GDPR, NIST SP 800-53). Built from 4,000+ scraped sources into 23 files / 5,350 lines of security knowledge. Zero config; works on local paths, GitHub repos, or websites; ideal for vibe-coded/AI-generated apps with unusual attack surfaces like Claude Code skills (SKILL.md prompts, user-supplied URLs/API keys, shell installers).
Live Demo: From C to A-Grade Fixes
On Claude Ads repo (2.5K+ stars, Python/Markdown/Shell/PowerShell): initial score 62/100 (C) due to high-severity SSRF (no IPv6 blocking), missing CI gates (auto-merge breaks packages), unsanitized errors, unpinned GitHub Actions, no lock files/hash verification. Secrets scored perfect. Post-fixes (planned via Claude Code in same chat): v1.5.1 release hit 90/100. Enables client/team presentations via PDF templates and community safety for published skills (flags API keys pre-publish). Install: curl -fsSL https://raw.githubusercontent.com/AgriciDaniel/claude-cybersecurity/main/install.sh | bash.