algo-risk-credit
Pass
Audited by Gen Agent Trust Hub on Sep 18, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill establishes a process for ingesting and analyzing borrower-provided data to generate credit risk assessments.
- Ingestion points: Data input involves borrower features such as income, debt-to-income (DTI) ratios, and credit history as described in
SKILL.mdandexamples/sample_scenario.md. - Boundary markers: There are no specific delimiters or instructions defined to separate user-provided data from the agent's logic, which could allow maliciously crafted data to influence model outputs.
- Capability inventory: The skill provides Python code snippets for model training and data manipulation using libraries like
pandasandscikit-learninreferences/reject-inference.mdandreferences/woe-binning.md. - Sanitization: The provided Python implementations lack input validation or sanitization routines for the data fields they process.
Audit Metadata