opengrep-compliance

Automate code compliance scanning with OpenGrep rules and LLM analysis.

Updated Jun 2, 2026
One-click install
npx skills add https://github.com/bettercallfan/deerflow --skill opengrep-compliance
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: opengrep-compliance
Source: https://github.com/bettercallfan/deerflow/tree/main/skills/custom/program_snippet/opengrep-compliance
Command: npx skills add https://github.com/bettercallfan/deerflow --skill opengrep-compliance

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, local_opengrep_binary, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of code compliance scanning, combining local OpenGrep rule scanning with LLM analysis to provide a comprehensive code compliance workflow.

Core Features & Use Cases

  • Hybrid Scanning: Combines OpenGrep rule scanning with LLM analysis for a thorough code compliance check.
  • OpenGrep Rule Scanning: Utilizes local OpenGrep rules for fast, deterministic scanning.
  • LLM Analysis: Performs in-depth analysis to connect findings, recommend fixes, and prioritize risks.
  • Use Case: For a developer looking to ensure code compliance, this Skill can scan their codebase for potential security vulnerabilities and provide remediation suggestions.

Quick Start

To run the scan on the current directory, use the following command:

python /mnt/skills/custom/program_snippet/opengrep-compliance/scripts/run_scan.py --target . --output-dir reports/opengrep

Frequently Asked Questions about opengrep-compliance

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

FAQPage Schema
How do I automate code compliance scanning with LLM analysis?

Automating code compliance scanning is done by combining OpenGrep rule scanning with LLM analysis to perform comprehensive security audits and static code analysis. This hybrid approach connects findings, recommends fixes, and prioritizes risks across your codebase.

What is the best way to run static code analysis on a local codebase?

Running static code analysis on a local codebase is best achieved by executing the Python scan script with a target directory and an output directory. This processes your codebase using local OpenGrep rules and LLM analysis to generate compliance reports.

Do I need to install Python and a local OpenGrep binary for SAST scanning?

Yes, you need both Python and a local OpenGrep binary installed to perform SAST scanning. The Skill requires these dependencies to execute the scripts that apply deterministic rule scanning and in-depth LLM analysis to your codebase.

How does OpenGrep rule scanning compare to standard LLM analysis for security vulnerabilities?

OpenGrep rule scanning provides fast, deterministic scanning for known patterns, while LLM analysis performs in-depth contextual evaluation to connect findings and recommend fixes. Combining them offers a more thorough code compliance check than relying solely on standard LLM analysis.

What are the limitations of using OpenGrep for security scanning without LLM analysis?

Using OpenGrep without LLM analysis limits results to deterministic pattern matching without contextual remediation. Without the LLM component, the security scanning process cannot connect disparate findings, prioritize risks, or recommend specific fixes for your codebase.