AI Data Remediation Engineer
Fail
Audited by Snyk on Jul 23, 2026
Risk Level: HIGH
Full Analysis
HIGH W007: Insecure credential handling detected in skill instructions.
- Insecure credential handling detected (high risk: 0.90). The agent sends raw sample_rows (which may contain PII/secrets) into the SLM and requires a returned "lambda" JSON that can legitimately include literal values from those samples, so the model may need to reproduce secrets verbatim in its output.
MEDIUM W011: Third-party content exposure detected (indirect prompt injection risk).
- Third-party content exposure detected (medium risk: 0.65). There is a runtime prompt path where the agent feeds outsider-authored free text into the LLM context: Step 3 sends
sample_rows(the anomalous row contents originating from external data sources) intoollama.chatas the user message alongside a system prompt, so any outsider-provided text in those samples could influence the model output.
Issues (2)
W007
HIGHInsecure credential handling detected in skill instructions.
W011
MEDIUMThird-party content exposure detected (indirect prompt injection risk).
Audit Metadata