What problem does it solve?
This Skill addresses the critical need for controlling and monitoring AI agent spending by allowing users to define granular spending policies using natural language, preventing unauthorized or excessive expenditures.
Core Features & Use Cases
- Natural Language Policy Creation: Define complex spending rules (limits, vendor restrictions, time-based controls) using simple English sentences.
- Policy Testing (Dry Run): Simulate transactions against defined policies to predict outcomes without actual execution.
- Policy Templates: Utilize pre-defined policy structures for common use cases like procurement, API services, or employee cards.
- Use Case: An AI agent needs to procure cloud services. You can define a policy like "Max $50/day on AWS and Azure, only during business hours" to ensure cost-effective and compliant operations.
Quick Start
Use the sardis-policy skill to create a new spending policy for wallet_abc123 with the description "Max $100/day, only Amazon and OpenAI".