arize-prompt-optimization
Pass
Audited by Gen Agent Trust Hub on Sep 15, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill exhibits an indirect prompt injection attack surface because it retrieves and processes external LLM trace data, spans, and dataset records which may contain arbitrary user-generated inputs.
- Ingestion points: Trace logs, annotations, and evaluations are imported into the runtime environment via
ax spans exportandax datasets exportcommands inSKILL.md. - Boundary markers: Present. The optimization meta-prompt template in
SKILL.mdwraps untrusted payload variables within explicit boundaries likeORIGINAL BASELINE PROMPTandPERFORMANCE DATAusing markdown headers and delimiter lines. - Capability inventory: The skill executes local administrative actions using the
axCLI tool and processes JSON payloads usingjqcommands acrossSKILL.md,references/ax-profiles.md, andreferences/ax-setup.md. - Sanitization: Absent. The workflow relies entirely on structural delimiters and prompt engineering constraints rather than programmatically sanitizing text within the variables.
Audit Metadata