Consolidate web and AI security knowledge into structured references for threat modeling and testing workflows.
npx skills add https://github.com/0X6C7879/aegissec --skill secknowledge
Please help me install this Agent Skill. Skill: secknowledge Source: https://github.com/0X6C7879/aegissec/tree/main/skills/secknowledge Command: npx skills add https://github.com/0X6C7879/aegissec --skill secknowledge
SecKnowledge consolidates WooYun's vulnerability catalog, GAARM risk matrix, and OWASP-aligned testing methodologies into a single, accessible knowledge base to accelerate comprehensive web and AI security testing and defense planning.
Load the quick-reference card and open the references folder to perform a cross-domain security assessment.
High-intent search queries and answers about installing and using this skill.
Attack surface mapping for AI and web applications is supported by consolidated threat modeling methodologies and structured references for cross-layer environments. It provides practical workflows to discover threats across hybrid deployments.
The GAARM risk matrix is a structured framework for AI security risk indexing. It helps categorize and assess threats specific to LLM deployments, supporting cross-domain defense planning and remediation strategies.
Testing for prompt injection vulnerabilities involves applying cross-domain payload guidance and structured testing methodologies. The knowledge base provides practical workflows for discovering and validating these specific AI security threats.
The Wooyun vulnerability catalog is consolidated within the knowledge base to accelerate web security testing. It provides real-world vulnerability references aligned with OWASP testing methodologies for attack surface analysis.
OWASP-aligned testing methodologies are integrated to support web security testing workflows. The system provides structured guidance for risk indexing, payload deployment, and remediation planning across web applications.
Planning cross-layer defense strategies requires consolidating web and AI security knowledge into unified threat modeling. The system applies structured methodologies across hybrid deployments to support comprehensive remediation planning.
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