AI-driven source-code vulnerability audit: a 5-stage methodology (recon, investigate, validate, disclose, learn) with adversarial false-positive filtering and conservative, cooperative disclosure. Static-only; hands off to the defending-code harness for runtime-verified findings.
2 skills
Large-N analysis of the CVE corpus: growth attribution, CNA behaviour profiling, record completeness, and CWE assignment quality. Answers whether CVE growth is real, whether CVE data is improving, and why each CNA participates — with the corpus pitfalls that produce confidently wrong answers.
1 skill
CWE assignment and vulnerability chain analysis for CNAs, security researchers, and vendors. Guides analysts through vulnerability understanding, code examination, CWE identification, chain mapping, and quality validation.
1 skill
Comprehensive security incident analysis with OSINT collection, source cross-referencing, confidence classification, and deep analysis. Teaches analysts the methodology while producing structured reports.
1 skill
Map relationships between security knowledge sources using the NIST IR 8477 methodology. Supports four relationship styles (crosswalk, supportive, set theory, structural), guided use case documentation, cross-model validation, and multiple output formats including OLIR/CPRT-compatible JSON and Excel.
1 skill
Ingest security knowledge documents (standards, regulations, frameworks, controls, capabilities) into structured, machine-readable data. Checks SecID for existing structured data, handles license verification for contributions, produces reproducible conversion recipes, and guides users toward proper data management.
1 skill