ml-systems
Pass
Audited by Gen Agent Trust Hub on Sep 3, 2026
Risk Level: SAFE
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted data from
input.csvvia theml_systems_diagnostics.pyscript. - Ingestion points:
scripts/ml_systems_diagnostics.pyreads user-provided CSV files. - Boundary markers: No specific delimiters are used to separate user data from instructions in the agent workflow.
- Capability inventory: The script is limited to local file reading (
pd.read_csv) and writing a JSON summary to a local file. It does not have network access or administrative privileges. - Sanitization: The script performs deterministic numerical analysis and does not evaluate or execute the content of the CSV, effectively neutralizing injection risks.
- [SAFE]: The Python script
scripts/ml_systems_diagnostics.pyuses standard libraries (pandas, json, argparse) for data analysis. No obfuscation, remote code execution, or credential harvesting patterns were identified in the codebase or instructions.
Audit Metadata