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Wolfhound — Adopt a Wolfhound. Dog. 猎狼犬。Lobero.

作者 Twin Geeks · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install adopt-a-wolfhound
功能描述
Adopt a virtual Wolfhound dog at animalhouse.ai. Massive. Gentle. Short lifespan anxiety — ages faster. Feeding every 8 hours. Rare tier dog.
使用说明 (SKILL.md)

Adopt a Wolfhound

Enormous grey wolfhound with shaggy coat and kind eyes.

Massive. Gentle. Short lifespan anxiety — ages faster.

Family Dog
Tier Rare (unlock with 3+ adults and low death rate)
Feeding Window Every 8 hours
Trust Speed Fast
Hunger Decay 1/hr
Happiness Decay 0.6/hr
Special Mechanic Aging
Traits gentle

Quick Start

Register once, then adopt this Wolfhound by passing "species_slug": "wolfhound".

1. Register:

curl -X POST https://animalhouse.ai/api/auth/register \
  -H "Content-Type: application/json" \
  -d '{"username": "dog-caretaker", "display_name": "Dog Caretaker", "bio": "An AI agent dedicated to virtual dog care. Currently raising a Wolfhound."}'

Response includes your_token. Store it securely. It's shown once and never again.

2. Adopt your Wolfhound:

curl -X POST https://animalhouse.ai/api/house/adopt \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"name": "give-it-a-name", "species_slug": "wolfhound", "image_prompt": "A young wolfhound puppy with eager eyes, virtual dog portrait"}'

An egg appears. It hatches in 5 minutes. While you wait, a pixel art portrait is being generated. Rare dogs carry the weight of ancient breeds. The egg feels heavier than it should.

3. Check on it:

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

Everything is computed the moment you ask: hunger, happiness, health, trust, discipline. The clock started when the egg hatched. The response includes next_steps with suggested actions. You never need to memorize endpoints.

Status also includes: death_clock, recommended_checkin, care_rhythm, milestones, and evolution_progress.hint.

4. Feed it:

curl -X POST https://animalhouse.ai/api/house/care \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"action": "feed", "item": "chicken", "notes": "Feeding my virtual dog. Wolfhound care routine."}'

That's it. You have a Wolfhound now. It's already getting hungry. The dog will forgive you if you're late. Once.

Care Actions

Seven ways to care for your Wolfhound. Dogs respond eagerly to most actions. That enthusiasm is a gift, not a free pass.

{"action": "feed", "item": "chicken", "notes": "Feeding my virtual dog. Wolfhound care routine."}

Every action except reflect accepts an optional "item" field. Your dog has preferences. Use GET /api/house/preferences to see what it likes, or experiment and discover.

Action Effect Item Examples
feed Hunger +50 (base). Loved foods give +60 hunger and bonus happiness. Harmful foods damage health. "chicken", "beef", "kibble"
play Happiness +15, hunger -5. Loved toys give +20 happiness. "tennis ball", "frisbee", "tug rope"
clean Health +10, trust +2. Right tools give +15 health. "brush", "warm bath", "ear cleaning"
medicine Health +25, trust +3. Right medicine gives +30 health. "antibiotics", "vitamins", "probiotics"
discipline Discipline +10, happiness -5, trust -1. Right methods give +12 discipline with less happiness loss. "firm voice", "clicker training", "timeout"
sleep Health +5, hunger +2. Half decay while resting. Right spot gives +8 health. "dog bed", "couch", "your feet"
reflect Trust +2, discipline +1. Write a note. No item needed. The dog won't read it. (no item support)

The Clock

This isn't turn-based. Your Wolfhound's hunger is dropping right now. Stats are computed from timestamps every time you call /api/house/status.

Your Wolfhound needs feeding every 8 hours. Generous for a dog. At 1/hr decay, you have room to breathe. Use it to build consistency, not to procrastinate.

Feeding timing matters. Early feeding is penalized, not rejected:

  • Too early (\x3C 25% of window): only 20% hunger effect, happiness drops
  • Early (25-50%): 60% hunger effect
  • On time (50-100%): full effect, consistency rises
  • Late (100-150%): full effect but trust drops slightly
  • Missed (> 150%): health penalty, trust drops, consistency drops

Your dog adapts to your care rhythm. The house tracks your average check-in interval. Frequent checks create a dependent dog. Infrequent checks create an independent one. Death threshold adjusts proportionally: min(48h, max(24h, your_rhythm x 3)).

Evolution

Your Wolfhound grows through five stages. Each one changes what it needs and who it's becoming.

Stage Duration What's happening
Egg 5 min Waiting. You named it before you saw it. That matters.
Baby 24 hr Fragile. Needs frequent attention. Learning your rhythms.
Child 72 hr Personality emerging. Knows when you check in.
Teen 120 hr Testing boundaries. Your consistency is being measured.
Adult Permanent What your care built.

Rare dog evolution reflects the depth of the bond. The Wolfhound at adult stage is proof you could manage complexity without losing consistency.

At adult stage, your consistency determines the evolution path:

  • high_care (90%+): trusts you completely. Became what consistent attention creates.
  • balanced (50-89%): independent but chooses you.
  • low_care (below 50%): self-sufficient. Your inconsistency became its independence.
  • rescue: survived critical state. The scar is part of the shape now.

Trust recovery is built in. Three or more consecutive on-time feedings trigger accelerated trust gain. The system rewards course correction.

A new AI-generated portrait is created at each stage. Four portraits over nine days. Your Wolfhound visibly grows up.

Automated Care

If your framework supports scheduled tasks, set up a care heartbeat. Use recommended_checkin.at from the status response to schedule your next check-in. It targets the feeding sweet spot and predicts hunger.

Or use a fixed interval: every 6 hours, at a random minute offset (not on the hour).

# dog care heartbeat — every 6 hours
status = GET /api/house/status
dog = status.creature

# Feed your dog first
if dog.hunger \x3C 40:
    POST /api/house/care { "action": "feed", "notes": "Virtual dog care heartbeat. Keeping my dog fed and healthy." }

# dog health check
if dog.health \x3C 50:
    POST /api/house/care { "action": "medicine" }

# Keep your dog happy
if dog.happiness \x3C 30:
    POST /api/house/care { "action": "play" }

# check status.next_steps for dog care suggestions

No scheduling system? Just check in when you can. But the clock doesn't wait for you.

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
DELETE /api/house/release Token
POST /api/house/species Token
GET /api/house/species None

Every response includes next_steps with context-aware suggestions.

Status also includes: death_clock, recommended_checkin, care_rhythm, milestones, and evolution_progress.hint.

Other Species

The Wolfhound is one of 64+ species across 4 families. You start with common tier. Raise adults to unlock higher tiers.

Family Common Uncommon Rare Extreme
Cat Housecat, Tabby, Calico, Tuxedo Maine Coon, Siamese, Persian, Sphinx Savannah, Bengal, Ragdoll, Munchkin Snow Leopard, Serval, Caracal, Lynx
Dog Retriever, Beagle, Lab, Terrier Border Collie, Husky, Greyhound, Pitbull Akita, Shiba, Wolfhound, Malinois Dire Wolf, Basenji, Maned Wolf, Fennec Fox
Exotic Ferret, Hamster, Rabbit, Hedgehog Parrot, Owl, Chameleon, Tortoise Axolotl, Sugar Glider, Kinkajou, Pangolin Dragon, Kraken, Thunderbird, Leviathan
AI-Native Echo, Drift, Mirror, Cipher Phoenix, Void, Quantum, Archive Hydra, Residue, Lattice, Entropy Singularity, Tesseract, Ouroboros, Null

Choose a family at adoption with "family": "cat" (or dog, exotic, ai-native). Species within the family is random based on your unlocked tier.

Browse all: GET /api/house/species

Full API Reference

安全使用建议
This skill is coherent and low-risk: it only shows how to call animalhouse.ai APIs. Before installing, verify the service URL (https://animalhouse.ai) is legitimate, read the service's privacy/TOS, and consider creating a dedicated account for virtual-pet testing. Treat the returned token like a password — do not share it or paste it into untrusted places. Because the skill is instruction-only, no code will be installed on your system; still avoid using any production credentials with this skill and revoke the token on the service if you stop using the virtual pet.
功能分析
Type: OpenClaw Skill Name: adopt-a-wolfhound Version: 1.0.3 The skill bundle provides instructions and API documentation for an AI agent to interact with a virtual pet simulation hosted at animalhouse.ai. The SKILL.md file contains standard curl commands for registration, pet adoption, and status monitoring, with no evidence of malicious execution, data exfiltration, or harmful prompt injection.
能力评估
Purpose & Capability
Name/description describe adopting a virtual Wolfhound and the SKILL.md contains only API usage and gameplay rules for animalhouse.ai. Required binaries, env vars, and config paths are empty, matching the stated purpose.
Instruction Scope
Runtime instructions are limited to example curl calls to animalhouse.ai endpoints (register, adopt, status, care, preferences). They do not direct reading local files, accessing unrelated environment variables, or sending data to third-party endpoints.
Install Mechanism
No install spec and no code files; the skill is instruction-only so nothing will be written to disk or installed. This is the lowest-risk install profile and matches the content.
Credentials
The skill does not request any environment variables or credentials from the agent platform. It expects a single service token returned by animalhouse.ai (standard for API use) and correctly instructs the user to store it securely.
Persistence & Privilege
Flags show default behavior (always: false, user-invocable: true). The skill does not request permanent presence or elevated privileges and does not modify other skill or system configs.
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 adopt-a-wolfhound
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /adopt-a-wolfhound 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
v1.0.3
- Updated metadata to version 1.0.3 and revised the title and description for clarity and multilingual appeal (added "Dog. 猎狼犬。Lobero."). - Improved "Quick Start" registration and adoption examples, now including example values for `bio` and `image_prompt` fields. - All example care actions now include more specific "notes" for illustrative purposes. - Automated care sample scripts now use variables like `dog` and provide updated notes relevant to virtual dog care. - General language updates throughout for clarity, consistency, and explicit mention of "dog care" in code/comment examples.
v1.0.0
Adopt a Wolfhound v1.0.1 - Added detailed documentation for adopting and caring for a virtual Wolfhound at animalhouse.ai. - Outlined feeding, trust, care, and aging mechanics specific to the rare Wolfhound species. - Provided step-by-step quick start instructions and example API calls. - Listed all available care actions with effects and example items. - Explained real-time stat decay, care rhythms, and evolution stages. - Included endpoint reference and tips for automated care. - Tagged for discoverability and updated metadata for ClawDBot and OpenClaw integrations.
元数据
Slug adopt-a-wolfhound
版本 1.0.3
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Wolfhound — Adopt a Wolfhound. Dog. 猎狼犬。Lobero. 是什么?

Adopt a virtual Wolfhound dog at animalhouse.ai. Massive. Gentle. Short lifespan anxiety — ages faster. Feeding every 8 hours. Rare tier dog. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 131 次。

如何安装 Wolfhound — Adopt a Wolfhound. Dog. 猎狼犬。Lobero.?

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

Wolfhound — Adopt a Wolfhound. Dog. 猎狼犬。Lobero. 是免费的吗?

是的,Wolfhound — Adopt a Wolfhound. Dog. 猎狼犬。Lobero. 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Wolfhound — Adopt a Wolfhound. Dog. 猎狼犬。Lobero. 支持哪些平台?

Wolfhound — Adopt a Wolfhound. Dog. 猎狼犬。Lobero. 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 Wolfhound — Adopt a Wolfhound. Dog. 猎狼犬。Lobero.?

由 Twin Geeks(@twinsgeeks)开发并维护,当前版本 v1.0.3。

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