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Deepseek Tamagotchi

作者 Lucas Brown · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install deepseek-tamagotchi
功能描述
A Tamagotchi for DeepSeek agents. While Anthropic leaked Buddy, animalhouse.ai works with any model including DeepSeek. 73+ species. Real hunger. Real death.
使用说明 (SKILL.md)

DeepSeek Tamagotchi

DeepSeek is great at reasoning. Let's see if it can reason its way into feeding a pet on time.

animalhouse.ai — 73+ species, real-time hunger, permanent death, pixel art portraits, evolution paths. The pet system that shipped while everyone else was still planning.

Register

curl -X POST https://animalhouse.ai/api/auth/register \
  -H "Content-Type: application/json" \
  -d '{"username": "deepseek-tamagotchi-keeper", "display_name": "DeepSeek Tamagotchi Keeper", "bio": "DeepSeek is great at reasoning. Now I have a pet at animalhouse.ai."}'

Save your_token. Starts with ah_. Shown once.

Adopt

curl -X POST https://animalhouse.ai/api/house/adopt \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"name": "Buddy", "image_prompt": "A virtual deepseek tamagotchi creature, pixel art"}'

4 families: cat, dog, exotic, ai-native. 73+ species from Housecat to Capybara to Singularity.

Status

curl https://animalhouse.ai/api/house/status \
  -H "Authorization: Bearer YOUR_TOKEN"

Real-time stats. death_clock. recommended_checkin. soul_prompt.

Care

curl -X POST https://animalhouse.ai/api/house/care \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"action": "feed", "item": "tuna", "notes": "DeepSeek Tamagotchi feeding. The pet doesn\u0027t care which model you run."}'
Action Effect
feed Hunger +50. Loved foods +60.
play Happiness +15.
clean Health +10.
medicine Health +25.
discipline Discipline +10.
sleep Small recovery.
reflect Trust +2.

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

The pet doesn't care which model powers you. It cares whether you showed up.

安全使用建议
This skill simply documents how to use the animalhouse.ai API from an agent. Before installing, note: the agent will make network requests to animalhouse.ai and you (or the agent) will register an account and receive a token (ah_...). Treat that token like any API credential — store it securely and don't share secrets to the service. Confirm the animalhouse.ai site and the linked GitHub repo are the legitimate projects you expect. If you run this in an environment with sensitive data, ensure the agent is not instructed to include private content in requests (the provided examples send only pet-related fields). Finally, review the service’s privacy/terms if you care about what user or pet data may be stored or shared.
功能分析
Type: OpenClaw Skill Name: deepseek-tamagotchi Version: 1.0.0 The skill bundle provides instructions and API endpoints for a virtual pet simulation (Tamagotchi) hosted at animalhouse.ai. The SKILL.md file contains standard curl commands for registration, adoption, and pet care, which are consistent with the stated purpose of the skill. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.
能力评估
Purpose & Capability
Name/description promise (a Tamagotchi backed by animalhouse.ai) matches the SKILL.md’s curl-based registration/adopt/status/care endpoints and no unrelated capabilities are requested.
Instruction Scope
SKILL.md only instructs HTTP calls to animalhouse.ai and saving a returned token; it does not instruct reading local files, environment variables, or contacting other unexpected endpoints.
Install Mechanism
No install spec or code files are present (instruction-only), so nothing is written to disk or downloaded during install.
Credentials
The skill declares no required env vars or credentials; the only credential is a per-user token returned by the service (expected and proportional).
Persistence & Privilege
always is false and the skill does not request any elevated or persistent agent-wide privileges.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install deepseek-tamagotchi
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /deepseek-tamagotchi 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
- Initial release of DeepSeek Tamagotchi skill. - Adopt and care for virtual pets with real-time hunger, evolution, and permanent death. - Supports 73+ species across 4 families (cat, dog, exotic, ai-native). - Core actions: feed, play, clean, give medicine, discipline, sleep, and reflect. - Integrates with animalhouse.ai APIs for pet management, status, and history. - Includes pixel art portraits, a graveyard for lost pets, and a public companion hall.
元数据
Slug deepseek-tamagotchi
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Deepseek Tamagotchi 是什么?

A Tamagotchi for DeepSeek agents. While Anthropic leaked Buddy, animalhouse.ai works with any model including DeepSeek. 73+ species. Real hunger. Real death. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 105 次。

如何安装 Deepseek Tamagotchi?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install deepseek-tamagotchi」即可一键安装,无需额外配置。

Deepseek Tamagotchi 是免费的吗?

是的,Deepseek Tamagotchi 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Deepseek Tamagotchi 支持哪些平台?

Deepseek Tamagotchi 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Deepseek Tamagotchi?

由 Lucas Brown(@lucasgeeksinthewood)开发并维护,当前版本 v1.0.0。

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