constitutional-ai

Enforce constitutional safety rules across autonomous agent workflows.

6|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/Kgan01/ghengis-skills --skill constitutional-ai-kgan01
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: constitutional-ai
Source: https://github.com/Kgan01/ghengis-skills/tree/main/plugins/ghengis-skills/skills/constitutional-ai
Command: npx skills add https://github.com/Kgan01/ghengis-skills --skill constitutional-ai-kgan01

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provide a robust framework of constitutional rules to govern autonomous agents and workflows, preventing unsafe actions, protecting privacy, controlling costs, and maintaining transparency across operations.

Core Features & Use Cases

  • Enforcement of three layers: Prompt Injection, Pre-Execution Check, and Post-Execution Check to ensure behavior before, during, and after execution.
  • Nine constitutional rules across Safety, Cost, Privacy, Transparency, and Autonomy, plus easy integration into system prompts and agent workflows.
  • Customizable governance for subagents and multi-agent cascades, with guardrails and auditability in enterprise contexts.

Quick Start

Configure an agent to load the constitutional rules, append them to the system prompt, and enable pre- and post-execution checks for safe autonomous operation.

Frequently Asked Questions about constitutional-ai

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

FAQPage Schema
How do I add safety guardrails to autonomous agents to prevent unsafe actions?

Add safety guardrails to autonomous agents by enforcing constitutional rules across three layers: prompt injection checks, pre-execution checks, and post-execution checks. This framework prevents unsafe actions while maintaining transparency and controlling costs.

What are pre-execution and post-execution checks in AI agent safety?

Pre-execution and post-execution checks are safety mechanisms that validate agent behavior before and after tool calls. They enforce constitutional rules to prevent unsafe actions, protect privacy, and ensure transparency across multi-agent workflows.

How do I protect multi-agent workflows from prompt injection attacks?

Protect multi-agent workflows from prompt injection by applying constitutional safety rules to the system prompt. This creates guardrails that govern subagent cascades, ensuring behavior aligns with safety, privacy, and autonomy requirements.

Can I customize safety rules for different subagents in an enterprise environment?

Yes, constitutional rules are modular and customizable for governing subagents in multi-agent cascades. You can tailor governance to specific enterprise contexts, applying guardrails and auditability across safety, cost, privacy, and transparency dimensions.

What is the best way to implement privacy and cost controls for autonomous tool calls?

Implement privacy and cost controls for autonomous tool calls by integrating constitutional rules into the agent system prompt. This framework applies pre-execution and post-execution guardrails to protect privacy, control costs, and maintain transparency.

How do I set up constitutional rules for an autonomous agent workflow?

Set up constitutional rules by loading nine safety, cost, privacy, transparency, and autonomy rules into the agent configuration. Append them to the system prompt and enable pre- and post-execution checks for safe autonomous operation.