All Pet — AI skill for Claude Code
🐾 One desktop pet that watches all your AI coding agents — Codex, Claude Code / Desktop, DeepSeek Harness (DSH) & Grok.
How to install All Pet
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open haverainlilili/all-pet and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What All Pet does
🐾 One desktop pet that watches all your AI coding agents — Codex, Claude Code / Desktop, DeepSeek Harness (DSH) & Grok. macOS GUI + cross-platform CLI. 一只同时盯住 Codex / Claude / DSH / Grok 的跨平台 AI 编码桌宠。
Alternatives in AI
- Repomix — 📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file 22.7k ★
- Opencodex — Universal provider proxy for OpenAI Codex & Claude Code — use any LLM (Claude, Gemini, Grok, DeepSeek, Ollama… 12.3k ★
- EchoBird — One-click install + model switch:Claude Code,Codex CLI (OpenAI), Grok Build (xAI), DeepSeek Harness, Kimi Code 3.1k ★
README
AllPet 🐾
**One desktop pet that watches all your AI coding agents — Codex, Claude Code / Desktop, DeepSeek Harness (DSH), and Grok — with a cross-platform status / watch CLI.**
The native pet GUI is macOS; the cross-platform Electron shell (`desktop/`) shows the pet plus a graphical pet manager on macOS, Linux, and Windows. Core monitoring and the `status` / `watch` CLI build and run everywhere.
The pet switches animation based on what your agents are doing — idle, running, waiting, done, failed — and each task bubble lets you jump straight back into the originating session.
[中文文档](./README.zh-CN.md) · English
Why one pet for all these platforms?
What you actually use every day is not "a model" — it's a **harness × model** combination. The harness decides what context the model sees, which tools it gets, and when it retries or wraps up. The same model behind a different harness can produce very different results:
- The same Claude Sonnet 4.6 scores ~71% on SWE-bench Verified inside Claude Code, but only ~52% behind the Continue shell. (TensorFeed)
- The same Claude Opus 4.5 scores 45.9% under the unified SEAL scaffold, and 55.4% back in its own Claude Code. (arXiv 2605.23950)
- The same Grok 4 scores 58.6% under a generic SWE-agent, and 72–75% with xAI's own scaffold. (arXiv 2605.23950)
The pattern is consistent: **each model is strongest inside its own harness.** So "Claude in Claude Code, GPT in Codex, Grok in Grok" is the everyday reality — which is exactly why AllPet watches Codex, Claude Code, DSH, and Grok at the same time.
Features
- One pet, four platforms — natively reads Codex, Claude Code / Desktop, DSH, and Grok task state from your local session logs (no accounts, no API keys).
- Live state animation — the pet switches between idle / running / waiting / done / failed as tasks progress.
- **Task bubble
Related Skills
Dsh Plugin Subscriptions
Use ChatGPT (Codex), Claude, and Grok (X Premium) subscriptions as DeepSeek Harness LLM providers — OAuth logi
Musage
跨平台 AI 套餐用量监控悬浮窗 / Cross-platform AI quota monitor - MiniMax · DeepSeek · Claude Code · Cursor · OpenRouter ·
Vibe Bar Desktop
Cross-platform Vibe Bar client — AI subscription quota and local agent sessions on macOS, Windows, and Linux.
Meta Agent Sync
Project one config repo into every detected AI coding harness — Claude Code, Codex, Cursor desktop/Agent CLI,
Dsh Auto Review
Second-model AI auto-review for DeepSeek Harness approval requests: a read-only reviewer subagent returns stru
Dsh Plugin Dev Skills
An Agent Skills skill for developing DeepSeek Harness (DSH) plugins(开发 DSH 插件的 Agent Skill)——插件/服务/事件/工具/LLM 适
Related Agents
Ds Flash
DSH (DeepSeek Harness) worker on the flash tier - fast and cheap. Delegate simple, well-scoped subtasks: mecha
Force Runner
Run AI model tasks in background via The Force. Use when user wants parallel work with GPT-5.2, Gemini, Codex,
UI Explorer
Drive and explore a native macOS app's GUI (screenshot → click/type → observe) and correlate each action with