ralphmode

Configure permission profiles for Claude Code, Codex CLI, and Gemini CLI.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/supercent-io/skills-template --skill ralphmode
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ralphmode
Source: https://github.com/supercent-io/skills-template/tree/main/.agent-skills/ralphmode
Command: npx skills add https://github.com/supercent-io/skills-template --skill ralphmode

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill reduces the friction of AI agent automation by intelligently configuring permissions, allowing for more seamless execution of tasks like ralph or jeo workflows without constant approval prompts, while maintaining essential safety guardrails.

Core Features & Use Cases

  • Reduced Approval Friction: Configure Claude Code, Codex CLI, and Gemini CLI to require fewer manual approvals for automated tasks.
  • Smart Permission Scoping: Widen automation access only within bounded project directories or disposable sandboxes, preventing broad, unsafe access.
  • Built-in Safety: Maintains critical safety rules, including secret denylists and blocking destructive commands.
  • Use Case: When running a long-running ralph task that involves many small code edits and file writes, this skill can be activated to allow these operations without interrupting the flow for every single approval, while still preventing accidental deletion of critical files or exfiltration of secrets.

Quick Start

Configure your environment for ralph-style automation by running the setup script with your desired mode.

Frequently Asked Questions about ralphmode

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

FAQPage Schema
How do I reduce approval prompts when automating tasks with Claude Code or Gemini CLI?

You can reduce approval prompts by configuring smart permission profiles that widen automation access within bounded project directories. This allows AI agent tools to execute tasks seamlessly while maintaining safety guardrails like secret denylists and destructive command blocking.

What is the best way to scope AI agent permissions to a project sandbox without compromising safety?

Scoping AI agent permissions involves establishing project-scoped or sandbox-specific automation boundaries. This approach enables broad automated access within a designated directory while enforcing critical rules like blocking destructive shell commands and preventing secret exfiltration.

Do I need bash and git to configure automated permission profiles for Codex CLI?

Yes, configuring automated permission profiles for Codex CLI requires bash, git, and a repo-scoped workspace for full functionality. These dependencies are necessary to establish the project boundaries and execute the setup scripts that define the automation rules.

Can I run long-running Ralph workflows without being interrupted for every file write approval?

Yes, activating a smart permission profile allows long-running Ralph workflows involving many small code edits to proceed without manual approval interruptions. The system maintains safety by blocking accidental deletion of critical files and preventing the exfiltration of secrets.

Why does AI agent automation require a secret denylist during continuous execution?

AI agent automation requires a secret denylist to prevent accidental exfiltration of sensitive data during continuous execution. When approval prompts are reduced for tasks like Ralph or JEO workflows, the denylist acts as a critical guardrail against unauthorized secret access.

When should I not use broad permission scoping for AI coding agents?

You should not use broad permission scoping outside of disposable sandboxes or strictly bounded project directories. Applying wide automation access without these boundaries risks uncontrolled file system modifications and bypasses the safety rules designed to block destructive commands.