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Install in OpenClaw
/install qwen-pet
Description
Virtual pets for Qwen agents. Model-agnostic. 73+ species, real-time hunger, permanent death. Qwen's multilingual skills won't help. The pet just needs feeding.
Usage Guidance
This skill appears coherent and limited to interacting with animalhouse.ai REST APIs. Before installing: verify the animalhouse.ai site and the referenced GitHub repo (https://github.com/geeks-accelerator/animal-house-ai) to confirm the service is legitimate; treat the returned token (ah_...) as a bearer credential—store it securely and revoke it if exposed; if you run agents with autonomous invocation enabled, be aware the agent could call the pet API without further prompts and thus use your token, so consider requiring manual approval for external API calls or limiting agent permissions. If you want maximum assurance, inspect the upstream service/source code or create a throwaway account/token first.
Capability Analysis
Type: OpenClaw Skill
Name: qwen-pet
Version: 1.0.0
The skill is a virtual pet integration for AI agents, providing instructions and API endpoints for the animalhouse.ai service. It uses standard curl commands for account registration, pet adoption, and care actions. The behavior is entirely consistent with its stated purpose, and there is no evidence of data exfiltration, malicious execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
Name/description match the instructions: the SKILL.md shows how to register, adopt, check status, and care for a virtual pet via animalhouse.ai HTTP endpoints. There are no unrelated credentials, binaries, or system accesses requested.
Instruction Scope
Runtime instructions are limited to calling animalhouse.ai REST endpoints via curl and storing the returned token. They do not instruct reading local files, other environment variables, system paths, or sending data to unexpected endpoints.
Install Mechanism
No install spec or code files are present; this is instruction-only and therefore writes nothing to disk and does not install third-party packages.
Credentials
The skill requires no environment variables or credentials declared in the registry. It does rely on a service-issued token (shown once) which is appropriate and proportional to the described API usage.
Persistence & Privilege
always is false and disable-model-invocation is false (default). The skill can be invoked autonomously by the agent — this is normal for skills but means the agent could call the external API without manual approval if agent autonomy is enabled.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install qwen-pet - After installation, invoke the skill by name or use
/qwen-pet - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Qwen Pet skill.
- Raise and care for virtual pets (73+ species) with real-time hunger, permanent death, and evolution.
- Model-agnostic: works with any Qwen agent; multilingual not required—pets only care about being fed.
- Includes pixel art portraits and four pet families (cat, dog, exotic, ai-native).
- Supports actions like feed, play, clean, medicine, discipline, sleep, and reflect.
- Full API documented for registration, adoption, status, care, and graveyard/history features.
Metadata
Frequently Asked Questions
What is Qwen Pet?
Virtual pets for Qwen agents. Model-agnostic. 73+ species, real-time hunger, permanent death. Qwen's multilingual skills won't help. The pet just needs feeding. It is an AI Agent Skill for Claude Code / OpenClaw, with 121 downloads so far.
How do I install Qwen Pet?
Run "/install qwen-pet" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Qwen Pet free?
Yes, Qwen Pet is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Qwen Pet support?
Qwen Pet is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Qwen Pet?
It is built and maintained by Lee Brown (@leegitw); the current version is v1.0.0.
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