---
id: codeshield
version: "1.0.1"
license: unclear
license_treatment: permissive
maintenance: active
---

# codeshield — Shield against LLM generated insecure code

License: permissive · Maintenance: active · Downloads: 110.0K/mo

## What it is and what it does

CodeShield is a runtime security filter designed to intercept insecure code generated by large language models before it enters production. It acts as a guardrail in workflows where LLMs assist with code generation—whether as IDE plugins, chatbot code suggestions, or automated coding assistants—flagging or blocking code that violates secure coding practices.

The package uses static analysis (via semgrep and the Insecure Code Detector library) to scan code across multiple programming languages for patterns matching over 50 CWEs. It employs a two-layer scanning strategy: a fast pattern check flags suspicious code, and only flagged content undergoes comprehensive analysis. According to the documentation, this design keeps 99% of benign requests under 70ms latency, with p90 latency at 450ms for thorough scans, making it suitable for production environments where both security and performance matter.

Use it for:

- Block insecure code suggestions in IDE-integrated AI coding assistants before developers see them.
- Add warnings or reject unsafe code snippets returned by LLM chatbots used for coding help.
- Scan code generated by automated LLM pipelines to enforce secure coding hygiene before merge.
- Validate code produced by internal or third-party LLM services in CI/CD workflows.
- Detect common insecure patterns (CWE violations) in bulk-generated code for compliance audits.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

CodeShield filters code generated by LLMs to detect and block insecure patterns before they reach production, using static analysis across multiple programming languages.

Yes, if you deploy LLM-assisted code generation in production or development workflows. CodeShield fills a real gap: LLMs can generate insecure code even when fine-tuned for safety, and this package provides a lightweight, low-latency filter to catch it. Active maintenance, permissive license, and no known vulnerabilities support adoption. Install only if you actually integrate LLM code output into your pipeline; it's not a general-purpose static analyzer.

## Install

pip install codeshield
uv add codeshield
poetry add codeshield

## Installing codeshield

Before you install: Low install friction with a pure Python wheel and only two runtime dependencies (pyyaml and semgrep). The package is actively maintained with recent commits and has accumulated 4348 repository stars, indicating established community adoption.

License in practice: Licensed under MIT (permissive), so you can use, modify, and distribute CodeShield freely in commercial and private projects without restriction.

Quickstart:

pip install codeshield

from codeshield import CodeShield
shield = CodeShield()
result = shield.scan(code_snippet)

Requires Python 3.8 or later. semgrep must be installed and functional for static analysis to work across the supported programming languages.

Verify before relying:

- Exact API surface and configuration options for customizing scan behavior and response modes (warning vs. blocking).
- Whether the package includes pre-built rules for all 50+ CWEs or requires external configuration.
- Performance characteristics on code snippets larger than typical LLM outputs.
- Integration examples with specific IDEs or LLM frameworks beyond the referenced notebook.

## Package facts

- License: not declared (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 110.0K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

llm code security filtering, insecure code detection, ai-generated code guardrail, static analysis for llm output, code generation safety, secure coding enforcement, llm output validation, llm-security, code-scanning, guardrail

[View on SkillFed](https://skillfed.io/packages/codeshield) · [View on PyPI](https://pypi.org/project/codeshield/)