finetuning

Pass

Audited by Gen Agent Trust Hub on Sep 15, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill ingests untrusted data to generate code and reward functions.
  • Ingestion points: use_case_spec.md, conversation context, and training data samples.
  • Boundary markers: Absent.
  • Capability inventory: boto3 SDK, file system writes, and subprocess execution.
  • Sanitization: Absent.
  • [DYNAMIC_EXECUTION]: Generates and executes Python scripts to verify reward function logic.
  • Evidence: references/rlvr_reward_function.md describes writing lambda_function.py and executing it via python3 -c.
  • [COMMAND_EXECUTION]: Includes commands for environment introspection and testing.
  • Evidence: references/rlaif_guide.md and references/rlvr_reward_function.md include python3 -c commands.
  • [EXTERNAL_DOWNLOADS]: Instructs installation of official AWS SDK and ML libraries.
  • Evidence: Uses pip install for sagemaker, boto3, mlflow, and matplotlib.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 15, 2026, 05:58 PM
Security Audit — agent-trust-hub — finetuning