exa-research

Pass

Audited by Gen Agent Trust Hub on Feb 17, 2026

Risk Level: SAFEPROMPT_INJECTION
Full Analysis
  • [Indirect Prompt Injection] (LOW): The skill handles untrusted web data retrieved via the Exa.ai Answer and Search APIs, which is a known vector for indirect prompt injection where instructions embedded in web pages could influence agent behavior.\n
  • Ingestion points: Web content and AI-generated responses retrieved through exa.answer(), exa.search_and_contents(), and exa.research() in references/answer-api.md and references/deep-search.md.\n
  • Boundary markers: None found. The provided code snippets do not demonstrate the use of delimiters or 'ignore' instructions for external data.\n
  • Capability inventory: All capabilities are limited to data retrieval, string formatting, and async task management; no dangerous execution sinks like eval(), exec(), or subprocess are present.\n
  • Sanitization: Examples in references/citations.md provide basic URL validation and keyword overlap checks, but they lack robust sanitization for detecting malicious natural language instructions.\n- [External Dependencies] (LOW): The skill references the exa-py and exa-js libraries in its code snippets. These are the official SDKs for the Exa.ai service and are standard for this use case.
Audit Metadata
Risk Level
SAFE
Analyzed
Feb 17, 2026, 06:12 PM