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) into ollama.chat as the user message alongside a system prompt, so any outsider-provided text in those samples could influence the model output.

Issues (2)

W007
HIGH

Insecure credential handling detected in skill instructions.

W011
MEDIUM

Third-party content exposure detected (indirect prompt injection risk).

Audit Metadata
Risk Level
HIGH
Analyzed
Jul 23, 2026, 02:36 PM
Issues
2
Security Audit — snyk — AI Data Remediation Engineer