learn-codebase

Scan project directories for agent configuration files and security vulnerabilities.

437|40|Updated Jan 31, 2026

Search Tags:#code review #onboarding #security #codebase #conventions #risk assessment

Ready to run

npx skills add https://github.com/HazAT/pi-config --skill learn-codebase-hazat

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: learn-codebase
Source: https://github.com/HazAT/pi-config/tree/main/skills/learn-codebase
Command: npx skills add https://github.com/HazAT/pi-config --skill learn-codebase-hazat

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps you quickly understand the conventions, rules, and potential security risks within a new or unfamiliar codebase, ensuring you onboard efficiently and avoid common pitfalls.

Core Features & Use Cases

Convention Discovery: Scans for and summarizes agent instruction files, configuration directories, and skill definitions.
Security Sweep: Identifies hardcoded secrets, insecure code patterns, suspicious dependencies, and overly permissive configurations.
Use Case: When starting on a new project, use this Skill to get a rapid overview of how the project is structured, what AI tools are configured, and if there are any immediate security concerns to address.

Quick Start

Use the learn-codebase skill to scan the current project for conventions and security issues.

Frequently Asked Questions about learn-codebase

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

FAQPage Schema

How do I scan a codebase for conventions and security vulnerabilities?▼

To scan a codebase for conventions and security vulnerabilities, use shell commands to search project directories for agent configuration files, hardcoded secrets, and insecure patterns, summarizing AI tool rules and potential risks.

What is the best way to discover project conventions and AI tool rules in an unfamiliar codebase?▼

Discovering project conventions and AI tool rules requires scanning for agent instruction files and configuration directories to quickly understand how an unfamiliar project is structured and what tools are configured.

How do I identify hardcoded secrets and insecure patterns during project onboarding?▼

Identifying hardcoded secrets and insecure patterns during project onboarding involves running a security sweep across the codebase to detect suspicious dependencies and overly permissive configurations, preventing common pitfalls.

Can I detect overly permissive configurations and suspicious dependencies in my project?▼

You can detect overly permissive configurations and suspicious dependencies by executing file searching and pattern matching shell commands across the project to flag potential security risks and insecure code structures.

Do I need shell commands to find agent instruction files and skill definitions?▼

Yes, finding agent instruction files and skill definitions requires shell commands for file searching and pattern matching to accurately locate and summarize project rules and configurations.