agent-contracts

Enforce standardized Agent Contracts for inter-agent communication with Pydantic validation.

Updated Jan 16, 2026
One-click install
npx skills add https://github.com/JuelHossain/kalshi-trading-team --skill agent-contracts
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-contracts
Source: https://github.com/JuelHossain/kalshi-trading-team/tree/main/ai-env/skills/agent-contracts
Command: npx skills add https://github.com/JuelHossain/kalshi-trading-team --skill agent-contracts

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill defines and enforces a standardized Agent Contract for inter-agent communication, reducing cross-agent drift and misalignment.

Core Features & Use Cases

  • Establishes a clear data handoff path (Opportunities -> Signals -> Executions) with guaranteed persistence and validation.
  • Ensures decoupled I/O via a JSON-based EventBus, enabling reliable, low-latency inter-agent interactions during trading cycles.
  • Provides runtime safeguards and diagnostics through strict schema checks and centralized logging for inter-agent messages.

Quick Start

None – the Agent Contract is implemented through the engine design and requires no user-facing setup.

Frequently Asked Questions about agent-contracts

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

FAQPage Schema
How do I enforce inter-agent contracts for AI communication?

Inter-agent contracts are enforced by applying standardized schemas across all Mega-Agents to ensure decoupled data handoff, persistent state, and verifiable messages during trading cycles.

What is the best way to validate inter-agent messages at runtime?

Runtime validation for inter-agent messages is handled using Pydantic schemas, ensuring strict data type checks and preventing cross-agent drift during data handoff.

Does this inter-agent communication approach use SQLite for state persistence?

Yes, Synapse SQLite is used for persistent state storage, enabling reliable message tracking and centralized logging for inter-agent interactions throughout the trading cycles.

How do I decouple inter-agent data handoff using an EventBus?

Inter-agent data handoff is decoupled by mandating JSON-based EventBus messaging, which enables reliable, low-latency interactions with strict latency budgets between agents.

Can I use this agent contract framework without manual user setup?

Yes, the agent contract is implemented through the engine design and requires no user-facing setup, automatically applying data handoff paths from Opportunities to Executions.

Why do I need strict schema checks for inter-agent trading cycles?

Strict schema checks provide runtime safeguards and diagnostics, reducing cross-agent misalignment and ensuring verifiable, persistent messages across the trading cycle.