AgentDB Performance Optimization

Pass

Audited by Gen Agent Trust Hub on Sep 18, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSINDIRECT_PROMPT_INJECTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill references documentation and project resources from the author's official GitHub repository and website.
  • Repository: https://github.com/ruvnet/agentic-flow/tree/main/packages/agentdb
  • Project Website: https://agentdb.ruv.io
  • [INDIRECT_PROMPT_INJECTION]: The skill facilitates the storage and retrieval of vector data and text patterns, which creates a potential surface for indirect prompt injection if the ingested data is untrusted.
  • Ingestion points: SKILL.md documents adapter.insertPattern and adapter.retrieveWithReasoning methods which process external embeddings and text strings.
  • Boundary markers: The provided code snippets do not show explicit delimiters or instructions to the model to ignore instructions within processed data.
  • Capability inventory: The skill enables file system writes to a local database directory (.agentdb/) as shown in the configuration examples.
  • Sanitization: No explicit data sanitization or validation logic is included in the optimization examples.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 18, 2026, 05:38 AM
Security Audit — agent-trust-hub — AgentDB Performance Optimization