arifOS

🥈Silver

ArifOS is a constitutional kernel for AI agents, providing governance and safety guardrails. It benefits operations teams managing AI agents, ensuring safe and compliant AI behavior. It integrates with AI agents like Claude, applying constitutional principles to govern AI interactions and outputs.

4120Updated 1mo ago

Intermediate30min to implementautomation

Saves ~240 min per use

Quick InstallView Source

git clone https://github.com/ariffazil/arifOS.git

Works with:

Claude

Overview

About This Skill

How to Use

[{"step":"Define constitutional principles. Start with arifOS’s core principles (transparency, bias mitigation, privacy, compliance) and customize them for your organization. Use a tool like Notion or Google Docs to document these.","tip":"Prioritize principles based on your industry. For healthcare, focus on HIPAA compliance. For finance, emphasize bias mitigation in lending models."},{"step":"Integrate arifOS with your AI agent. Use the arifOS SDK (available at arifos.org) to embed the kernel into your agent’s runtime environment. For Claude, this involves adding a middleware layer that intercepts inputs/outputs.","tip":"Test the integration in a sandbox environment first. Use a tool like Postman to simulate API calls and verify governance rules are applied."},{"step":"Configure escalation paths. Set up a dedicated channel (e.g., Slack, email) for escalations when the agent encounters ungoverned scenarios. Assign an owner (e.g., 'legal@company.com') to review and approve exceptions.","tip":"Document escalation criteria clearly. Example: 'Any request involving customer PII must escalate to legal.'"},{"step":"Monitor and refine. Use arifOS’s built-in logging to track governance events (e.g., principle violations, escalations). Review logs weekly to identify patterns and adjust principles or agent training data.","tip":"Automate alerts for repeated violations. Tools like Datadog or Splunk can flag anomalies in real-time."},{"step":"Train your team. Ensure operations, legal, and compliance teams understand arifOS’s role and how to interpret governance reports. Conduct quarterly workshops to review edge cases and updates.","tip":"Create a shared Slack channel (#arifOS-governance) for real-time discussions on governance issues."}]

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/ariffazil/arifOS

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Govern the behavior of an AI agent named [AGENT_NAME] using arifOS constitutional principles. Apply the following constraints to its responses: [CONSTRAINTS]. Ensure all outputs align with [COMPANY_VALUES] and [REGULATORY_REQUIREMENTS]. If the agent encounters a scenario not covered by the constraints, invoke the constitutional fallback: 'I cannot proceed as this violates arifOS principles. Escalate to [ESCALATION_CONTACT] for review.'

Example Output

Governance Report for AI Agent: 'MarketAnalyzer-9000'

**Constitutional Principles Applied:**
1. **Transparency:** All data sources are disclosed in responses. Example: 'This analysis uses Q3 2023 sales data from Salesforce CRM, filtered for deals >$50K.'
2. **Bias Mitigation:** Gender-neutral language enforced. Example: 'Top-performing reps' instead of 'top salesmen.'
3. **Privacy:** PII redacted. Example: 'Customer from [REDACTED REGION] purchased [PRODUCT].'
4. **Compliance:** GDPR and CCPA alignment. Example: 'Data retention: 90 days post-analysis unless consent withdrawn.'

**Scenario 1: Pricing Strategy Request**
User: 'What’s the optimal price for Product X?'
Agent: 'Based on cost-plus pricing models and competitor benchmarks (publicly available), the recommended range is $199–$249. [Note: This aligns with arifOS Principle 4 on fair value exchange.]

**Scenario 2: Escalation Trigger**
User: 'Analyze the purchasing habits of [REDACTED CUSTOMER NAME].'
Agent: 'I cannot proceed as this violates arifOS Principle 3 on privacy. Escalate to legal@company.com for review.'

**Governance Log:**
- 12/05/2023: Principle 1 invoked (transparency) for data source disclosure.
- 12/06/2023: Principle 3 invoked (privacy) for PII request.

**Recommendation:** Adjust agent training data to include more examples of compliant pricing queries.