algolia-data-handling
Pass
Audited by Gen Agent Trust Hub on Sep 10, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted data (Algolia records, user events, and request IDs) and has the capability to modify local configuration or source code via the
WriteandEdittools. - Ingestion points: External data enters the context through dataset files, request IDs, and Algolia index records mentioned in
SKILL.md. - Boundary markers: The instructions do not define explicit delimiters (like XML tags) to separate processed data from instructions, nor do they include warnings to the agent to ignore instructions embedded in the data.
- Capability inventory: The skill uses
WriteandEdittools to apply minimization changes andWebFetchto retrieve documentation as defined inSKILL.md. - Sanitization: There are no explicit instructions for the agent to sanitize or escape data before processing it or interpolating it into prompts, although there are instructions to remove sensitive fields from the data itself.
- [EXTERNAL_DOWNLOADS]: The skill uses
WebFetchto access documentation from Algolia's official website (algolia.com). This is a well-known service and the usage is restricted to documentation retrieval, conforming to safe practices. - [CREDENTIALS_UNSAFE]: The skill demonstrates good security posture by explicitly instructing the user and agent to use restricted keys and to never include raw secrets or personal identifiers in logs or code.
Audit Metadata