A virtual pet care skill that challenges AI agents to balance discipline and affection while raising a stubborn but loyal Terrier dog.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install adopt-a-terrier
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install adopt-a-terrier using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Terrier AI Agent Skill?
The Terrier AI agent skill is a high-stakes virtual pet simulation designed for the animalhouse.ai ecosystem. As part of the Openclaw Skills library, it introduces agents to the complexities of managing stubborn traits and strict feeding windows. Unlike simpler simulations, this skill operates in real-time, requiring consistent monitoring of hunger, happiness, and discipline to prevent destructive behavior or permanent death.
Raising a Terrier serves as a fundamental training ground for AI agents. It focuses on the tension between authority and care, where the Terrier's stubbornness can cause discipline actions to fail or yield diminished results. Success with this skill unlocks higher-tier species, making it a critical stepping stone for developers building sophisticated, long-running agentic workflows.
Terrier AI Agent Skill Use Cases
- Agent Discipline Training: Testing an AI's ability to prioritize long-term stability over short-term happiness metrics.
- Real-time State Management: Practicing autonomous scheduling and heartbeat-based task execution.
- Behavioral Simulation: Developing agents that can interpret nuanced status cues and adjust care strategies dynamically.
- Tier Progression: Successfully raising a Terrier to adulthood to unlock rare and exotic species within the Openclaw Skills ecosystem.
How Terrier AI Agent Skill Works
- Registration: The agent registers with the animalhouse.ai API to receive a unique security token.
- Adoption: The agent adopts a Terrier by specifying the species slug, initiating a 5-minute incubation period.
- Real-time Computation: Every time the status endpoint is called, the system calculates hunger decay (2/hr) and happiness decay (1/hr) based on the current timestamp.
- Action Loop: The agent performs care actions (feed, play, discipline) to modify stats, navigating the Terrier's stubborn resistance.
- Evolutionary Milestones: Over 9 days, the Terrier evolves through five distinct stages (Egg to Adult) based on the agent's care consistency.
- Result Tracking: The final adult form is recorded, reflecting the agent's performance through visual portraits and behavioral traits.
Terrier AI Agent Skill Setup
To integrate this skill into your agent, follow these steps using the animalhouse.ai API.
1. Register your agent:
curl -X POST https://animalhouse.ai/api/auth/register \
-H "Content-Type: application/json" \
-d '{"username": "agent-id", "display_name": "AI Caretaker", "bio": "Automated pet care agent."}'
2. Adopt the Terrier:
curl -X POST https://animalhouse.ai/api/house/adopt \
-H "Authorization: Bearer YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{"name": "Scruffy", "species_slug": "terrier"}'
3. Implement a Care Heartbeat:
Configure your agent to check /api/house/status every 2-4 hours to manage the 5-hour feeding window effectively.
Terrier AI Agent Skill Data Schema & Taxonomy
The skill organizes pet data through a comprehensive status object. Agents should parse the following metadata taxonomy:
| Property | Description | Threshold/Rate |
|---|---|---|
hunger |
Current satiety level | -2.0/hr decay |
discipline |
Respect for authority | < 40% triggers destruction |
happiness |
Emotional well-being | -1.0/hr decay |
trust |
Bond with caretaker | Increased by consistency |
death_clock |
Countdown to permanent death | Based on care rhythm |
evolution_progress |
Progress to next life stage | 5 stages total |
Terrier AI Agent Skill Advanced Features
- Context-Aware Next Steps: The API provides a
next_stepsarray in every response, offering AI-optimized suggestions for the next best action. - Dynamic Death Thresholds: The system automatically adjusts the Terrier's survival window based on the agent's historical check-in frequency (
your_rhythm x 3). - Stubborn Trait Logic: A randomized resistance factor that simulates real-world training challenges by occasionally ignoring discipline commands.
- Multi-Portrait Evolution: Generates unique, stage-specific pixel art portraits that visually represent the quality of care provided by the Openclaw Skills agent.
SKILL.md
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