osgrep — claude-code osgrep, community, claude-code, ide skills, cursor-ai-edit, cursorrules, package-manager, prompts

v1.0.0

Sobre este Skill

The universal registry for AI coding tools

# Core Topics

pr-pm pr-pm
[101]
[11]
Updated: 3/23/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 3/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Quality floor passed for review
Review Score
3/11
Quality Score
59
Canonical Locale
en
Detected Body Locale
en

The universal registry for AI coding tools

Por que usar essa habilidade

The universal registry for AI coding tools

Melhor para

Suitable for operator workflows that need explicit guardrails before installation and execution.

Casos de Uso Práticos for osgrep

! Segurança e Limitações

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The page lacks a strong recommendation layer.
  • - The page lacks concrete use-case guidance.
  • - The page lacks explicit limitations or caution signals.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

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FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is osgrep?

The universal registry for AI coding tools

How do I install osgrep?

Run the command: npx killer-skills add pr-pm/prpm/osgrep. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

Which IDEs are compatible with osgrep?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add pr-pm/prpm/osgrep. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use osgrep immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

osgrep

Install osgrep, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

When to Use

Use this to find code by concept or behavior (e.g., "where is auth validated", "how are plugins loaded"). Note: This tool prioritizes finding the right files and locations in the code. Snippets are truncated (max 16 lines) and are often just previews.

Example:

bash
1osgrep "how are plugins loaded" 2osgrep "how are plugins loaded" packages/transformers.js/src

Strategy for Different Query Types

For Architectural/System-Level Questions (auth, LSP integration, file watching)

  1. Search Broadly First: Use a conceptual query to map the landscape.
    • osgrep "authentication authorization checks"
  2. Survey the Results: Look for patterns across multiple files:
    • Are checks in middleware? Decorators? Multiple services?
    • Do file paths suggest different layers (gateway, handlers, utils)?
  3. Read Strategically: Pick 2-4 files that represent different aspects:
    • Read the main entry point
    • Read representative middleware/util files
    • Follow imports if architecture is unclear
  4. Refine with Specific Searches: If one aspect is unclear:
    • osgrep "session validation logic"
    • osgrep "API authentication middleware"

For Targeted Implementation Details (specific function, algorithm)

  1. Search Specifically: Ask about the precise logic.
    • osgrep "logic for merging user and default configuration"
  2. Evaluate the Semantic Match:
    • Does the snippet look relevant?
    • Crucial: If it ends in ... or cuts off mid-logic, read the file.
  3. One Search, One Read: Use osgrep to pinpoint the best file, then read it fully.

Output Format

Returns: path/to/file:line [Tags] Code Snippet

  • [Definition]: Semantic search detected a class/function here. High relevance.
  • ...: Truncation Marker. Snippet is incomplete—use read_file for full context.

Tips

  • Trust the Semantics: You don't need exact names. osgrep "how does the server start" works better than guessing osgrep "server.init".
  • Watch for Distributed Patterns: If results span 5+ files in different directories, the feature is likely architectural—survey before diving deep.
  • Scope When Possible: Use path constraints to focus: osgrep "auth" src/server/
  • Don't Over-Rely on Snippets: For architectural questions, snippets are signposts, not answers. Read the key files.
  • "Still Indexing...": If you see this, please stop, alert the user that the index is ongoing and ask them if they wish to proceed. Results will be partial until the index is complete.

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