GitHub
static-vulnerability-analysis
Methodical approach to finding security vulnerabilities through source code review and static analysis
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macaugh AI Skills
GitHub ↗Browse published AI skills maintained by macaugh. Compare skill descriptions and follow each source repository for setup instructions.
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9Repository stars across indexed skills
27Repository forks
0Average repository stars per indexed skill
3Repository stars may repeat across skills from the same repository.
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GitHub
web-application-reconnaissance
Systematic methodology for mapping web application attack surface, discovering hidden endpoints, and identifying technologies
☆ 3View skill
GitHub
binary-analysis-and-reverse-engineering
Systematic approach to analyzing compiled binaries, understanding program behavior, and identifying vulnerabilities without source code access
☆ 3View skill
GitHub
service-fingerprinting
Techniques for accurately identifying services, versions, and technologies running on discovered hosts
☆ 3View skill
GitHub
automated-subdomain-enumeration
Systematic approach to discovering subdomains through passive and active reconnaissance techniques
☆ 3View skill
GitHub
payload-generation-and-customization
Techniques for creating and adapting payloads for various exploitation scenarios, target environments, and evasion requirements
☆ 3View skill
GitHub
fuzzing-harness-development
Building effective fuzzing harnesses to maximize code coverage and vulnerability discovery through automated input generation
☆ 3View skill
GitHub
zero-day-hunting-methodology
Systematic approach to discovering novel vulnerabilities through code analysis, fuzzing, and attack surface research
☆ 3View skill
GitHub
exploit-development-workflow
Systematic methodology for developing reliable exploits from vulnerability discovery to weaponization
☆ 3View skill
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.