parallel-processing
Security checks across malware telemetry and agentic risk
Overview
This skill is a simple guide for using Python joblib to run computations in parallel, with no hidden code or credential access.
Reasonable to install if you want joblib parallelization examples. When using the snippets, ensure joblib is installed, avoid n_jobs=-1 on shared machines unless appropriate, and watch memory use with large datasets.
SkillSpector
By NVIDIA
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
VirusTotal
67/67 vendors flagged this skill as clean.