skills/mukul975/anthropic-cybersecurity-skills/implementing-network-traffic-baselining/Gen Agent Trust Hub
implementing-network-traffic-baselining
Pass
Audited by Gen Agent Trust Hub on Sep 15, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill processes external NetFlow/IPFIX data from CSV or JSON exports. This data constitutes an untrusted input stream that could theoretically be used for indirect prompt injection if the resulting report is processed by a downstream LLM without sanitization.
- Ingestion points: The
scripts/agent.pyscript ingests data using thepd.read_csv()function from a path provided via the--netflow-csvargument. - Boundary markers: No explicit delimiters are used to wrap the untrusted data within the script's internal logic, although pandas enforces schema constraints.
- Capability inventory: The script's capabilities are limited to reading local files, performing statistical aggregations, and writing a JSON report to the local filesystem. It does not perform network operations or execute arbitrary system commands.
- Sanitization: The script performs structural validation by checking for required NetFlow columns and mapping alternative field names, which provides basic sanitization against malformed inputs.
Audit Metadata