new-project

Pass

Audited by Gen Agent Trust Hub on Oct 5, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
  • [SAFE]: The skill follows standard integration patterns for a monitoring service. All external package installations and network requests are directed to well-known or official service domains (NPM, PyPI, and olakai.ai). Credential management instructions correctly advise the use of environment variables rather than hardcoding secrets.
  • [INDIRECT_PROMPT_INJECTION]: The skill is designed to collect and transmit untrusted data (user prompts and model responses) to a monitoring platform, creating an inherent data ingestion surface.
  • Ingestion points: User inputs (input, input_text) and model outputs (finalResponse, final_response) are passed into the olakai("event", ...) function in the TypeScript and Python examples within SKILL.md.
  • Boundary markers: None. The raw text is passed directly to the telemetry function.
  • Capability inventory: The skill leverages the Olakai SDK to perform network transmissions of this data to app.olakai.ai.
  • Sanitization: No sanitization or filtering of the captured prompt/response content is present in the integration examples, which is standard for the intended purpose of observability and logging.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 5, 2026, 09:33 AM