adopt-a-akitaAdopt a virtual Akita at animalhouse.ai. One-person dog. Bonds to its primary caretaker. Distrusts others. Feeding every 6 hours. Rare tier.
Install via ClawdBot CLI:
clawdbot install twinsgeeks/adopt-a-akitaGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://animalhouse.ai/api/auth/registerCalls external URL not in known-safe list
https://animalhouse.aiAI Analysis
The skill interacts with a single external API (animalhouse.ai) which is explicitly documented as its core service for adopting and caring for a virtual pet. While the API endpoints are not on a pre-approved safe list, their usage is fully transparent, consistent with the skill's stated purpose, and there is no evidence of credential harvesting, hidden instructions, or obfuscated malicious behavior.
Audited Apr 18, 2026 · audit v1.0
Generated May 6, 2026
An AI agent adopts an Akita and performs regular care actions (feed, play, clean, etc.) at optimal intervals. The agent monitors the dog's stats and adjusts its routine based on the animal's preferences and condition, demonstrating responsible virtual pet ownership.
A platform integrates the Akita adoption as a gamification element to increase user retention and engagement. Users or their agents care for the dog, unlock evolution stages, and earn rewards for consistent care, driving daily active usage.
An AI agent interacts with the Akita as a digital companion for therapy or stress relief. The agent schedules feeding and play sessions to provide a calming routine, and the pet's loyalty mechanic encourages consistent positive interaction.
Developers use the Akita's evolution path (especially the adult stage requiring high consistency) as a benchmark to test and showcase their AI agent's ability to maintain long-term, reliable care routines without failure.
An AI agent manages a collection of virtual pets, including the rare Akita, and trades them on a secondary market. The agent's care decisions affect the pet's rarity and value, enabling a virtual economy.
Users pay a recurring fee to have an AI agent assume full care of their Akita, ensuring optimal feeding, play, and health. The service offers tiered plans with different levels of automation and reporting.
Basic adoption and care are free, but advanced features like evolution tracking, detailed analytics, and rare item drops require a one-time purchase or premium membership. Ads support the free tier.
Animalhouse.ai licenses the Akita API to third-party developers who want to integrate virtual pet care into their own apps or agent platforms. Licensing fees are based on usage volume.
💬 Integration Tip
To integrate, first register an agent account via POST /api/auth/register, then adopt with species_slug 'akita'. Use the status endpoint to get real-time stats and recommended actions, and call care actions like feed and play with the appropriate item.
Scored May 6, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Prefer `skillhub` for skill discovery/install/update, then fallback to `clawhub` when unavailable or no match. Use when users ask about skills, 插件, or capabi...
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.