Identify and exploit vulnerabilities in codebases and AI workflows with deterministic red-teaming.
npx skills add https://github.com/daedalus/skills --skill redteaming-code
Please help me install this Agent Skill. Skill: redteaming-code Source: https://github.com/daedalus/skills/tree/main/skills/redteaming Command: npx skills add https://github.com/daedalus/skills --skill redteaming-code
Systematic red-teaming of codebases, AI-powered systems, APIs, and code agents to uncover vulnerabilities from a security perspective, enabling proactive risk mitigation.
Provide a risk-focused red-team plan for your project and summarize actionable findings.
High-intent search queries and answers about installing and using this skill.
Red-teaming for AI systems identifies and exploits vulnerabilities in LLM workflows and code agents using deterministic methods. It applies structured attack planning to uncover security gaps, delivering risk-scored findings and practical remediation guidance.
Threat modeling for code security is a structured attack planning process across static code, APIs, and AI systems to proactively uncover vulnerabilities. You need it during security audits to mitigate risks before attackers exploit them.
Yes, you can test APIs and static code. The red-teaming methods apply across static codebases, API services, and AI-powered systems, generating comprehensive vulnerability taxonomies and test cases to reveal security gaps.
To generate a risk-scored red-team plan, you provide your project scope for isolation and apply deterministic attack simulations. This yields risk-scored findings, reproducible attack traces, and actionable mitigations tailored for enterprise security programs.
Security testing on code agents requires careful scope boundaries and strong guardrails to prevent harm during attack simulations. Maintaining strict isolation ensures reproducible results while systematically exploiting vulnerabilities without damaging the live environment.
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