bandit-security-scan

Scan Python code with Bandit AST analysis to detect security vulnerabilities.

17|5|Updated Feb 1, 2026
One-click install
npx skills add https://github.com/alxayo/sec-check --skill bandit-security-scan-alxayo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bandit-security-scan
Source: https://github.com/alxayo/sec-check/tree/main/.github/skills/bandit-security-scan
Command: npx skills add https://github.com/alxayo/sec-check --skill bandit-security-scan-alxayo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Bandit Security Scanner helps developers detect insecure Python patterns early by performing static AST-based analysis to reveal security vulnerabilities in codebases.

Core Features & Use Cases

  • AST-based analysis of Python files to detect dangerous patterns such as exec/eval usage, unsafe deserialization (pickle, yaml), shell injection risks, hardcoded credentials, and weak cryptographic practices.
  • Suitable for Django/Flask applications and CI/CD pipelines, enabling automated security checks during development and review processes.
  • Generates clear, actionable remediation guidance and supports multiple output formats for integration with existing tooling.

Quick Start

Run a full Bandit scan on your Python project to identify security issues and generate a report.

Frequently Asked Questions about bandit-security-scan

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I scan Python code for security vulnerabilities?

To scan Python code for security vulnerabilities, this Skill performs AST-based static analysis to detect dangerous patterns like exec/eval usage, unsafe deserialization, and hardcoded credentials. It generates actionable remediation guidance across Python projects.

What is AST-based static analysis for Python security?

AST-based static analysis parses Python code into an abstract syntax tree to identify insecure patterns such as shell injection risks, unsafe deserialization, and weak cryptography. It reveals security vulnerabilities early without executing the code.

Can I run Bandit security scans in a CI pipeline?

Yes, you can run Bandit security scans in CI pipelines. This Skill supports automated security checks for Django and Flask applications during development, enabling CI workflow integration with configurable rules and multiple output formats.

What insecure Python patterns does static analysis detect?

Static analysis detects insecure Python patterns including exec/eval usage, unsafe pickle and yaml deserialization, shell injection risks, hardcoded credentials, and weak cryptographic practices. It reveals these security vulnerabilities early in development.

Does this security scanner work with Django and Flask apps?

Yes, this security scanner works with Django and Flask applications. It performs AST-based static analysis to detect dangerous patterns across Python projects, generating clear remediation guidance suitable for automated CI pipeline integration.