package-pi-permission-system

Enforce deterministic permission gates across Pi extensions via YAML frontmatter configuration.

143|52|Updated May 15, 2026
One-click install
npx skills add https://github.com/gotgenes/pi-packages --skill package-pi-permission-system
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: package-pi-permission-system
Source: https://github.com/gotgenes/pi-packages/tree/main/.pi/skills/package-pi-permission-system
Command: npx skills add https://github.com/gotgenes/pi-packages --skill package-pi-permission-system

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manages and enforces deterministic permission gates for Pi extensions, ensuring agents cannot bypass user policy when interacting with tools, bash, MCP, skills, or special operations.

Core Features & Use Cases

  • Policy-driven access control: centralizes permission checks across all surfaces (tools, shell commands, subagents) and applies consistent enforcement.
  • Non-bypassable by agents: preserves same policy across sessions and prevents silent privilege escalation.
  • Config-driven architecture: uses per-scope config with a single source of truth, supports global, project, and per-agent overrides.

Quick Start

Install and enable the pi-permission-system extension to begin enforcing deterministic permissions across all surfaces.

Frequently Asked Questions about package-pi-permission-system

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

FAQPage Schema
How do I enforce deterministic permission gates for AI agents across shell commands and tools?

Deterministic permission gates for AI agents are enforced by applying policy checks across tools, shell commands, and MCP to prevent policy violations. This system centralizes access control and prevents agents from bypassing user policy.

What is the best way to prevent silent privilege escalation in Pi extensions?

Preventing silent privilege escalation in Pi extensions requires a config-driven architecture with a single source of truth. It applies non-bypassable permission policies across sessions for tools, bash, subagents, and special operations.

How do I configure global, project, and per-agent permission policies for extensions?

Configuring global, project, and per-agent permission policies relies on a YAML frontmatter based configuration. It enforces a strict merge order across these three scopes with safe defaults and robust validation to ensure consistent enforcement.

Can I apply a single source of truth for permission policies across multiple agent scopes?

Yes, you can apply a single source of truth for permission policies across multiple scopes. The system supports global, project, and per-agent overrides, enforcing a strict merge order to maintain consistent access control.

Why do I need deterministic permission policies for AI agents interacting with MCP and subagents?

Deterministic permission policies are needed for AI agents interacting with MCP and subagents to prevent policy violations. They ensure consistent enforcement across real-world workflows and stop agents from bypassing established user policy.