nlp-supply-chain
Pass
Audited by Gen Agent Trust Hub on Sep 20, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process unstructured data from external sources, creating a potential surface for indirect prompt injection attacks.
- Ingestion points: Untrusted data enters the agent context through
product_descriptionin the Product Classification class,invoice_textin the Invoice Extractor class, news articles in the Supplier Risk Analyzer, anduser_inputin the Chatbot implementation. - Boundary markers: There are no boundary markers or instructions to the models to disregard embedded commands within the input text (e.g., in
SKILL.md). - Capability inventory: The implementation currently includes data classification, named entity extraction, and response generation; it does not explicitly demonstrate dangerous capabilities like file writing or network exfiltration of sensitive data within the provided snippets.
- Sanitization: The skill lacks input sanitization or validation logic to filter potentially malicious instructions embedded in the processed text.
Audit Metadata