Security audit
data-scientist
Security checks for vulnerabilities and agentic risk
Overview
This is a markdown-only data science guidance skill with ordinary analysis examples and no evidence of hidden execution, credential use, persistence, or destructive behavior.
Reasonable to install if you want data science workflow guidance. Review generated notebooks or example code before running them, install optional libraries from trusted sources, and avoid sharing sensitive datasets with an agent unless the task requires it.
Vulnerability Patterns
- Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
- Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
- Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
- Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
- Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Static analysis
No suspicious patterns detected.