Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/sinbercs/switch2ai/claude-mdgit clone --depth 1 https://github.com/sinberCS/switch2aiWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00733 | $0.00733 |
| Opus 5 | $0.00367 | $0.00367 |
| Sonnet 5 | $0.00147 | $0.00147 |
| Haiku 4.5 | $0.00073 | $0.00073 |
Grade A, and why
switch2ai CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
This is a JetBrains IDE plugin called "switch2ai" that enables seamless switching between JetBrains IDE and any Agent Editor (like Cursor, Qoder) while maintaining precise cursor position. The plugin provides features for:
- Opening files/projects in AI editors with one click
- Maintaining exact cursor position (line and column)
- Custom command execution with variable support
- AI prompt input with AI selection
Code Architecture
Core Components
-
Configuration System
AppSettingsState.kt: Main configuration management with persistent stateConfigModel.kt: Data models for AI configs, custom commands, and plugin configuration- Uses IntelliJ's
PersistentStateComponentfor configuration persistence
-
Dynamic Action System
DynamicActionRegistry.kt: Registers custom commands and AI prompt actions dynamically- Handles shortcut registration and context menu integration
- Manages action lifecycle (registration/unregistration)
-
Command Processing
CommandProcessor.kt: Executes custom commands and AI prompts- Handles variable expansion (${filePath}, ${line}, ${column}, etc.)
- Integrates with IDE terminal for command execution
-
UI Components
PromptInputDialog.kt: Dialog for AI prompt input with AI selection- Configuration UI integrated through
AppSettingsConfigurable.kt
-
Project Lifecycle
ProjectStartupListener.kt: Initializes the plugin on project startup- Registers configuration change listeners for dynamic updates
Key Features Implementation
- Custom Commands: Configurable commands with shortcut keys and variable substitution
- AI Prompt System: Interactive prompt input with AI selection and shortcut command replacement
- Dynamic Registration: Actions, shortcuts, and context menus registered based on configuration
- Multi-AI Support: Configurable AI editors with custom command templates
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 95 lines · 733 tokens per session scan A bb1997372d29
switch2ai CLAUDE.md is an instructions file published in the GitHub repository sinberCS/switch2ai (173 stars, last pushed 9mo ago), licensed MIT. It adds 733 tokens to every session, about $0.0037 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.