ClawHub

quant-trading-backtrader

Security checks across malware telemetry and agentic risk

Overview

This is a straightforward local Python backtesting skill with only minor dependency hygiene considerations.

Install and run this in a virtual environment, verify the Backtrader and matplotlib packages you install, and treat the included strategy as a simulation example rather than financial advice or a live-trading system.

SkillSpector

By NVIDIA
Vulnerability Patterns
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (2)

Unpinned Dependencies

Low
Category
Supply Chain
Content
"version": "1.0.0",
  "description": "A skill for building and backtesting quantitative trading strategies using Backtrader.",
  "dependencies": {
    "backtrader": "^1.9.78.123",
    "matplotlib": "^3.0.0"
  },
  "scripts": {
Confidence
40% confidence
Finding
"backtrader": "^1.9.78.123"

Unpinned Dependencies

Low
Category
Supply Chain
Content
"description": "A skill for building and backtesting quantitative trading strategies using Backtrader.",
  "dependencies": {
    "backtrader": "^1.9.78.123",
    "matplotlib": "^3.0.0"
  },
  "scripts": {
    "test": "python examples/sma_crossover.py"
Confidence
40% confidence
Finding
"matplotlib": "^3.0.0"

VirusTotal

64/64 vendors flagged this skill as clean.

View on VirusTotal