Can I apply the skill only to the root directory?

Yes, you can use the --no-nested flag to skip updating subdirectories like src/ or src-tauri/.

How do AI agents benefit from this skill?

It provides them with explicit rules, correct development commands, and security constraints, reducing hallucinations and preventing architectural errors.

Is there a way to test the changes before applying them?

Yes, running the script with the --dry-run flag allows you to see the intended actions without modifying any files.

What is the 'Option B' architecture?

Option B refers to a specific local-first desktop stack comprising Tauri v2, a React/TypeScript frontend, a Rust backend orchestrator, and a Python sidecar.

Will this skill overwrite my existing AGENTS.md files?

Yes, but it automatically creates a timestamped backup under .codex/backups/ before making any changes, allowing for easy recovery.

Option B Agent Instruction Patcher

Name: Option B Agent Instruction Patcher
Author: macho715

bymacho715

Aprendizaje y Documentación

Configures repository instruction files for Tauri v2 and React-based desktop architectures to guide AI coding agents with security guardrails.

Acerca de

This skill automates the creation and updating of AGENTS.md files specifically tailored for 'Option B' architectures, which utilize Tauri v2, React/TypeScript, Rust, and Python sidecars. By injecting standardized executable commands, security-sensitive permission rules, and desktop-local-first constraints, it ensures that AI coding agents operate within the correct architectural boundaries. The skill provides a robust safety net by creating timestamped backups before modifications and supports nested instruction files to provide granular context for both frontend and backend directories.

Características Principales

Injects security guardrails for sidecar execution and plugin scopes
Generates nested instruction files for Rust and React subdirectories
Automated timestamped backups in .codex/backups/
0 GitHub stars
Standardizes AGENTS.md for Tauri v2 and React/TS desktop architectures
Supports dry-run mode to preview changes before application

Casos de Uso

Maintaining consistent project context across multi-language repository structures
Enforcing security rules and command constraints for coding agents
Configuring a new Tauri project for AI-assisted development

Acerca de

Características Principales

Injects security guardrails for sidecar execution and plugin scopes
Generates nested instruction files for Rust and React subdirectories
Automated timestamped backups in .codex/backups/
0 GitHub stars
Standardizes AGENTS.md for Tauri v2 and React/TS desktop architectures
Supports dry-run mode to preview changes before application

Casos de Uso

Maintaining consistent project context across multi-language repository structures
Enforcing security rules and command constraints for coding agents
Configuring a new Tauri project for AI-assisted development