code-repository-intel

Identify technology stacks of public GitHub and GitLab repositories.

7|1|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/ArianHobson333/claude-bug-bounty-stack --skill code-repository-intel-arianhobson333
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-repository-intel
Source: https://github.com/ArianHobson333/claude-bug-bounty-stack/tree/main/vendor/communitytools/projects/pentest/.claude/skills/techstack-identification/code_repository_intel
Command: npx skills add https://github.com/ArianHobson333/claude-bug-bounty-stack --skill code-repository-intel-arianhobson333

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires GitHub, GitLab, Bash, WebFetch, Python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the identification of technology stacks used in public GitHub and GitLab repositories, saving time and reducing manual effort in code analysis.

Core Features & Use Cases

  • Repository Search: Scans public GitHub and GitLab repositories for company organization information.
  • Language Analysis: Extracts primary programming languages from repositories.
  • Dependency Identification: Parses dependency files to determine the technologies used.
  • CI/CD Configuration Analysis: Detects and analyzes Continuous Integration/Continuous Deployment (CI/CD) configurations.
  • Container Analysis: Identifies container base images and configurations.
  • Use Case: Imagine you need to quickly understand the technology stack of a company that you are about to audit. Use this Skill to automatically identify the languages, frameworks, and tools they are using.

Quick Start

Use the 'code-repository-intel' skill to scan the technology stack of a GitHub organization 'exampleorg'.

Frequently Asked Questions about code-repository-intel

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

FAQPage Schema
How do I identify the technology stack of a public GitHub or GitLab repository?

To identify a repository technology stack, you can analyze repository languages, dependency files, CI/CD configurations, and Dockerfile contents using automated API retrieval and parsing scripts.

What is the best way to analyze CI/CD configurations and Dockerfiles across an organization's repositories?

Analyzing CI/CD configurations and Dockerfiles across repositories is best handled by automating data retrieval via GitHub and GitLab APIs, then parsing the extracted container base images and pipeline definitions.

Do I need Python and Bash to automate GitHub repository analysis?

Yes, you need Python and Bash to automate GitHub repository analysis, as the parsing and analysis scripts rely on specific Python libraries and Bash execution alongside WebFetch for data retrieval.

Can I use this approach to scan both GitHub and GitLab for company organization information?

Yes, you can scan both GitHub and GitLab for company organization information by utilizing their respective APIs to retrieve and analyze public repository data, including primary programming languages.

Does repository technology stack identification work on private GitHub or GitLab projects?

Repository technology stack identification is designed for public GitHub and GitLab repositories, meaning private projects are not supported by the current automated API retrieval and scanning approach.