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Prompt Injection and Malware Pattern Detection

Context7 indexes documentation from public and private sources. To prevent malicious content from reaching AI assistants, Context7 employs a layered malicious content detection system.
How our detection system works
  • Robust Detection — Content is analyzed using a classifier tailored for Context7 to identify prompt injection attempts and malware-related patterns
  • Targeted Validation — Suspicious content is subjected to additional checks
  • Skills.md Handling — A separate but related detection pipeline is used for Skills files, adapted to their distinct structure and intent
  • Continuous Monitoring — Flagged content is tracked and reviewed on an ongoing basis
  • Regular Updates — Detection logic is updated to address evolving attack methods and new injection techniques
This ensures that documentation retrieved through Context7 is safe to consume by both human developers and AI coding agents.