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 Mar 16, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill performs statistical profiling on local CSV datasets using pandas and numpy. It does not initiate outbound network connections or access sensitive system configuration files.
- [SAFE]: No obfuscation techniques, hardcoded credentials, or persistence mechanisms were identified in the source code, license, or documentation files.
- [PROMPT_INJECTION]: The skill instructions and metadata contain only functional descriptions of the analysis process and do not include patterns intended to bypass AI safety filters or override agent behavior.
- [SAFE]: Although the skill processes external CSV data in scripts/agent.py, it does not use the data to construct shell commands or pass it to an LLM context for instruction following, effectively eliminating indirect prompt injection risks.
Audit Metadata