Security Review & Permission Governance · Public

bandit

Bandit is a tool designed to find common security issues in Python code.

Best fitUsers who want source-backed project understanding before installing it.

Check whether this project matches your task before installing it.

What it can doskill, recipe, host_instruction, eval, preflight

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot8.1k stars

780 forks · 197 contributors

Doramagic.ai Last verification date: 2026-06-19 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-06-19

What is bandit?

Bandit is a tool designed to find common security issues in Python code.
Best fit: Users who want source-backed project understanding before installing it.
Not for: Not for users who want to skip sandbox verification or cannot accept configuration, permission, or maintenance overhead.
Capability added to an AI workflow: skill, recipe, host_instruction, eval, preflight
First safe verification step: Verify the smallest path in an isolated environment and keep a rollback path.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/PyCQA/bandit, https://github.com/PyCQA/bandit#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forUsers who want source-backed project understanding before installing it.

Match the project to your task before installing it.

Capabilityskill, recipe, host_instruction, eval, preflight

Bandit is a tool designed to find common security issues in Python code.

RepositoryPyCQA/bandit

8.1k stars · 780 forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Overview, Installation & CLI Usage

Related topics: Core Engine Architecture & Data Flow, Configuration, Output Formatters & Extensibility

Source: https://github.com/PyCQA/bandit / Human Manual

Core Engine Architecture & Data Flow

Related topics: Overview, Installation & CLI Usage, Security Plugins & Built-in Checks, Configuration, Output Formatters & Extensibility

Source: https://github.com/PyCQA/bandit / Human Manual

Security Plugins & Built-in Checks

Related topics: Core Engine Architecture & Data Flow, Configuration, Output Formatters & Extensibility

Source: https://github.com/PyCQA/bandit / Human Manual

Configuration, Output Formatters & Extensibility

Related topics: Overview, Installation & CLI Usage, Core Engine Architecture & Data Flow, Security Plugins & Built-in Checks

Source: https://github.com/PyCQA/bandit / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/PyCQA/bandit, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars8.1k stars

Forks780 forks

Contributors197 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using bandit with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Add report formatter for Github Actions annotations
github / github_issue
02
False negative: narrow argument-shape checks in B508/B509
github / github_issue
03
Feature request: Adding Canary Credentials to detect supply chain compro
github / github_issue
04
1.9.4
github / github_release
05
1.9.3
github / github_release
06
1.9.2
github / github_release
07
1.9.1
github / github_release
08
1.9.0
github / github_release
09
1.8.6
github / github_release
10
1.8.5
github / github_release
11
1.8.4
github / github_release
12
1.8.3
github / github_release

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

pip install bandit

Official start command · https://github.com/PyCQA/bandit#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

bandit Manual

Bandit is a tool designed to find common security issues in Python code.

Open the full manual

https://github.com/PyCQA/bandit Project Manual
Table of Contents
Overview, Installation & CLI Usage
Related Pages
Purpose and Scope
Installation
The Main `bandit` CLI
Key Argument Groups

Overview, Installation & CLI Usage

Related topics: Core Engine Architecture & Data Flow, Configuration, Output Formatters & Extensibility

Source: https://github.com/PyCQA/bandit / Human Manual

Core Engine Architecture & Data Flow

Related topics: Overview, Installation & CLI Usage, Security Plugins & Built-in Checks, Configuration, Output Formatters & Extensibility

Source: https://github.com/PyCQA/bandit / Human Manual

Security Plugins & Built-in Checks

Related topics: Core Engine Architecture & Data Flow, Configuration, Output Formatters & Extensibility

Source: https://github.com/PyCQA/bandit / Human Manual

Configuration, Output Formatters & Extensibility

Related topics: Overview, Installation & CLI Usage, Core Engine Architecture & Data Flow, Security Plugins & Built-in Checks

Source: https://github.com/PyCQA/bandit / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.