AI Security
Use when assessing AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, or agent tool abuse. Covers MITRE ATLAS technique mapping, injection signature detection, and adversarial robustness scoring.
Works with: Claude Code, Cursor, Codex CLI
Category: Security — see all ranked ›
Work: Security review · Risk assessment
Who it is for: Security engineer · Product manager
- Adoption: 1 repos
- Health: active
- GitHub stars: 23,181
- Contributors: 30
- License: MIT
Security audit
Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.
source ↗ · skill:alirezarezvani/ai-security
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