HorrorPlace Constellation Contracts: Contract Specifications for Cross-Platform Virtual Machine Orchestration with AI Agent Security

HorrorPlace Constellation Contracts is a contract specification repository for AI agents. It aims to enable AI agents to safely build, link, and validate cross-platform virtual machine clusters without accessing sensitive original content, and achieve compliant contract-first governance by defining schemas, registries, and workflow specifications. Its core value lies in addressing the challenge of secure and compliant operation of AI systems in complex distributed environments during multi-platform collaboration.

Background

In the era of multi-platform collaboration and AI agent automation, ensuring the secure and compliant operation of AI systems in distributed environments is a key challenge. This project adopts a contract-first design philosophy: the repository only contains contracts, schemas, and references, with no original content, to ensure platform compliance and provide normative guidance for downstream implementations.

Core Concepts

1. Schema Spine: A core set of schemas defining system structure, including invariants for regions/events/entities (to ensure cross-platform consistency), entertainment and telemetry metrics (to evaluate experience quality), and contracts for style/events/characters (to ensure content presentation consistency).
2. Registries: Using NDJSON format, assign stable IDs to entities such as regions and events, store only opaque references (e.g., artifact IDs), and provide a single index for AI agents to query.

Repository Structure

The project uses a layered structure with key directories:

• docs/: Design guides and integration instructions
• schemas/: JSON schemas (invariants, metrics, contracts, etc.)
• registry/: NDJSON-formatted indexes for regions, events, etc.
• tooling/: Python CLI tools and Lua helpers
• examples/: Minimal cluster and AI chat flow examples

AI Agent Integration Rules

• Each generation step outputs only one file, which must declare the target repository, path, schema version, reference ID, and other information.
• Agents must first query registries and specification schemas, follow the "no original content" rule, and rely on CI checks for validation.

CI/CD Contracts

• Schema validation jobs: Ensure JSON/NDJSON comply with specifications.
• Registry checks: Validate required fields, reference types, etc.
• Drift detection: Compare differences between local and specification versions to ensure consistency.

Content Isolation

The repository does not store explicit scenes, bloody, or graphic content; all content references are in indirect forms (IDs, metadata, invariants, etc.).

Privacy Protection

Telemetry and identity-related data are represented in a privacy-aware, contract-first manner to ensure user data security.

Platform Compliance

By excluding original content, the project itself remains platform-compliant and delegates content security responsibilities to downstream repositories.

Application Scenarios

1. Game Engine Integration: Can integrate with Unity, Unreal, and other engines to achieve cross-platform content consistency.
2. AI Tool Building: Provide structured output schemas and validation hooks for AI chat tools.
3. CI Integration: Add pre-commit guards and schema validation to multi-repository workflows to ensure code quality.

Quick Start Steps

1. Clone the repository: git clone https://github.com/Doctor0Evil/HorrorPlace-Constellation-Contracts.git
2. Validate example contracts: Use the hpc-validate-schema.py tool to validate region contract card examples.
3. Explore the minimal cluster: Check the examples/minimal-constellation/ directory to understand the complete scaffolding example.

Project Significance

1. Contract-first Architecture: Separate contracts from implementations to provide a safe and controlled working environment for AI agents.
2. Cross-platform Interoperability: Standardized schemas and registries reduce integration costs and support multi-platform collaboration.
3. AI-friendly Design: Provide machine-readable metadata, deterministic generation rules, and validation mechanisms.
4. Balance Between Compliance and Security: While remaining compliant itself, ensure the security of downstream implementations through contract specifications.

Future Outlook

As AI agents' applications in automation expand, the contract-first governance model will become increasingly important. This project provides a valuable reference implementation for AI agent security governance, cross-platform contract specifications, and virtual machine cluster management. In the future, it is expected to support more complex distributed system collaboration.