osgrep

Perform semantic code search to locate code by meaning.

1.1k|67|Updated Nov 21, 2025
One-click install
npx skills add https://github.com/Ryandonofrio3/osgrep --skill osgrep-ryandonofrio3
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: osgrep
Source: https://github.com/Ryandonofrio3/osgrep/tree/main/plugins/osgrep/skills/osgrep
Command: npx skills add https://github.com/Ryandonofrio3/osgrep --skill osgrep-ryandonofrio3

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers and teams find code by meaning rather than exact string matches, speeding up understanding and maintenance of large codebases.

Core Features & Use Cases

  • Semantic Code Search: Find concepts and intent in code, not just exact text matches.
  • Local Indexing & Isolation: Each repository maintains its own index for privacy and speed.
  • Traceability & Outputs: Outputs structured results suitable for notes, reviews, and agent-like workflows.

Quick Start

Install osgrep, index your repository, and run a semantic search: osgrep "where do we validate user permissions"

Frequently Asked Questions about osgrep

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

FAQPage Schema
How do I search code by meaning instead of exact text matches?

Semantic code search finds code by intent and concepts rather than literal strings. osgrep indexes your repository locally and returns ~10 results with 15+ line snippets, categorized by role (ORCHESTRATION, DEFINITION) so you locate authorization checks, permission validations, and security logic without guessing exact keywords.

Can semantic search help me find authorization and permission validation logic in my codebase?

Yes. Semantic search is designed for security-relevant patterns where exact matches fail. Query osgrep with natural language like "where do we validate user permissions" to locate authorization checks and permission validations across large codebases, with results traced through call graphs.

How does local indexing work, and why does it matter for code search?

Local indexing builds a searchable index stored in your repository, keeping code private and searches fast without external services. Each repository maintains its own isolated index, enabling semantic search without exposing source code outside your environment.

What kind of results does semantic code search return?

Semantic search returns structured results including ~10 code hits with 15+ line snippets, role categorization (ORCHESTRATION or DEFINITION), and call graphs or function references that trace execution flow—suitable for code reviews, notes, and agent-driven workflows.

Do I need special setup or dependencies to use semantic code search on my repository?

No external dependencies are required. Install osgrep, index your repository, and run semantic queries immediately. The tool handles indexing and search locally within your codebase without additional configuration or prerequisites.

How does semantic code search scale to large codebases?

Semantic search is designed for large codebases where traditional string matching becomes impractical. Local indexing and meaning-based retrieval enable fast, accurate results across extensive code volumes without performance degradation.