القائمة
Correlation, confidence scoring, and conflict resolution across all tech-stack signals. Cross-validates and assigns High/Medium/Low confidence per technology.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Threat Intelligence Report Design System — ReportLab-based PDF generation for A4 reports with Transilience branding, typography, and layout standards.
Offensive AI security testing and exploitation framework. Systematically tests LLM applications for OWASP Top 10 vulnerabilities including prompt injection, model extraction, data poisoning, and supply chain attacks. Integrates with pentest workflows to discover and exploit AI-specific threats.
API security testing - GraphQL, REST API, WebSocket, and Web-LLM attack techniques.
Pentest coordination — orchestrates executor and validator agents with context-controlled spawning. Entry point for all engagements.
Cryptanalysis techniques — lattice attacks, padding oracles, weak-RNG exploitation, signature forgery, secret-sharing recovery.
Digital forensics and incident response - Windows event log analysis, PCAP forensics, filesystem artifact analysis, AD attack detection, and timeline correlation. Use when investigating security incidents, analyzing Sherlocks, or performing threat hunting on provided evidence files.
| name | techstack-correlation |
| description | Correlation, confidence scoring, and conflict resolution across all tech-stack signals. Cross-validates and assigns High/Medium/Low confidence per technology. |
The Phase 4 layer that consumes all detection outputs (frontend, backend, infra, security, OSINT) and produces the final vetted technology list:
http, dns, tls, javascript, html, repository, job, archivecorrelated_technologies[] — each with sources, source_count, agreement_score, corroborating_signalsconflicts[] — typed (version_mismatch / mutually_exclusive / temporal_inconsistency / categorical_ambiguity), with severitytechnologies_with_confidence[] — confidence level (High / Medium / Low), score (0-1), reasoning breakdownconfidence_summary — counts, overall score, per-category breakdown, recommendationsconfidence_gaps[] — technologies needing additional evidence with suggested actions