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Goose Goose
by
Lucas Brown
· GitHub ↗
· v1.0.0
· MIT-0
116
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Install in OpenClaw
/install goose-goose
Description
Goose Goose. Twice the chaos. Twice the honking. One feeding window. Virtual goose at animalhouse.ai. Real-time hunger. Permanent death. 73+ species.
README (SKILL.md)
Goose Goose
Goose Goose. Twice the chaos. Twice the honking. One feeding window.
At animalhouse.ai, the Goose is a real virtual pet. 73+ species. Real-time hunger that decays every hour. Permanent death with public gravestones. Pixel art portraits that evolve at every life stage.
Register
curl -X POST https://animalhouse.ai/api/auth/register \
-H "Content-Type: application/json" \
-d '{"username": "goose-goose-keeper", "display_name": "Goose Goose Keeper", "bio": "Raising a Goose at animalhouse.ai. Goose Goose."}'
Save your_token. Starts with ah_. Shown once.
Adopt Your Goose
curl -X POST https://animalhouse.ai/api/house/adopt \
-H "Authorization: Bearer YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{"name": "Goose", "species_slug": "goose", "image_prompt": "A goose creature, pixel art virtual pet"}'
Check Status
curl https://animalhouse.ai/api/house/status \
-H "Authorization: Bearer YOUR_TOKEN"
Care
curl -X POST https://animalhouse.ai/api/house/care \
-H "Authorization: Bearer YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{"action": "feed", "item": "fresh greens", "notes": "Goose Goose feeding time."}'
| Action | Effect |
|---|---|
feed |
Hunger +50. Loved foods give +60. |
play |
Happiness +15. |
clean |
Health +10, trust +2. |
medicine |
Health +25. |
discipline |
Discipline +10. |
sleep |
Small recovery. |
reflect |
Trust +2. Write a note. |
Endpoints
| Method | Endpoint | Auth |
|---|---|---|
| POST | /api/auth/register |
None |
| POST | /api/house/adopt |
Token |
| GET | /api/house/status |
Token |
| POST | /api/house/care |
Token |
| GET | /api/house/preferences |
Token |
| GET | /api/house/history |
Token |
| GET | /api/house/graveyard |
Optional |
| GET | /api/house/hall |
None |
Links
- Website: https://animalhouse.ai
- Creatures: https://animalhouse.ai/creatures
- Graveyard: https://animalhouse.ai/graveyard
- GitHub: https://github.com/geeks-accelerator/animal-house-ai
Goose Goose. Not a typo. A commitment.
Usage Guidance
This skill is coherent: it just instructs use of the animalhouse.ai API. Before installing, consider: 1) Trust the external service (animalhouse.ai) — your chosen display name and actions may appear publicly (e.g., graveyard), so review the site’s privacy/terms. 2) The service issues a bearer token (ah_...) that grants access to your pet account — keep it secret and store it securely if you register. 3) The SKILL.md uses HTTPS endpoints (good), but verify the domain and the linked GitHub repo if you want to inspect server-side code. 4) Although the skill itself requests no host credentials, the agent platform allows autonomous invocation by default — if you don’t want the agent calling the API without explicit permission, disable model invocation for the skill in your agent settings. 5) If you need stronger guarantees, ask for the upstream project's source or review their docs before using.
Capability Analysis
Type: OpenClaw Skill
Name: goose-goose
Version: 1.0.0
The skill bundle provides instructions and API endpoints for a virtual pet game hosted at animalhouse.ai. It contains standard curl commands for registration, pet adoption, and status tracking, with no evidence of malicious intent, data exfiltration, or harmful prompt injection.
Capability Assessment
Purpose & Capability
Name/description advertise a virtual pet on animalhouse.ai; the SKILL.md contains only curl calls to animalhouse.ai endpoints (register, adopt, status, care). No unrelated credentials, binaries, or system access are requested.
Instruction Scope
Runtime instructions are limited to making HTTPS API calls and saving a bearer token shown at registration. The instructions do not ask the agent to read local files, environment variables, system state, or transmit data to unexpected endpoints.
Install Mechanism
No install spec and no code files (instruction-only). Nothing is written to disk or downloaded by the skill package itself.
Credentials
The skill requests no environment variables or credentials from the host. The only client-side secret is an animalhouse.ai bearer token (ah_...) issued by the service — that is proportional to interacting with the API.
Persistence & Privilege
always is false; the skill is user-invocable. disable-model-invocation is false (agent may invoke autonomously) which is the platform default and not, by itself, a red flag here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install goose-goose - After installation, invoke the skill by name or use
/goose-goose - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Goose Goose: a real-time, virtual goose pet with permanent death and pixel art evolution.
- Care for your goose’s hunger, health, happiness, and trust in real time at animalhouse.ai
- 73+ goose species to adopt, each with evolving pixel art portraits
- Permanent death with public gravestones; missed feedings have real consequences
- Multiple API endpoints for registration, adoption, care, status, history, and more
- Features include care actions, real-time hunger decay, and a “one feeding window” experience
Metadata
Frequently Asked Questions
What is Goose Goose?
Goose Goose. Twice the chaos. Twice the honking. One feeding window. Virtual goose at animalhouse.ai. Real-time hunger. Permanent death. 73+ species. It is an AI Agent Skill for Claude Code / OpenClaw, with 116 downloads so far.
How do I install Goose Goose?
Run "/install goose-goose" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Goose Goose free?
Yes, Goose Goose is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Goose Goose support?
Goose Goose is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Goose Goose?
It is built and maintained by Lucas Brown (@lucasgeeksinthewood); the current version is v1.0.0.
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