Xenopus — AI skill for Claude Code
Specimens from my LLM lab: agents, hooks, instructions, MCP servers, prompts, and skills for Claude, Codex, Gemini, and friends.
How to install Xenopus
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open FrogAi/Xenopus and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Xenopus does
Specimens from my LLM lab: agents, hooks, instructions, MCP servers, prompts, and skills for Claude, Codex, Gemini, and friends.
Alternatives in AI
- System Prompts Leaks — Extracted system prompts from ChatGPT (GPT-5.4, GPT-5.3, Codex), Claude (Opus 4.6, Sonnet 4.6, Claude Code), G 38.6k ★
- TokenTracker — Local-first AI token usage & cost tracker for 31 coding tools incl 1.4k ★
- HarnessKit — More than a skill manager — manage skills, MCP servers, plugins, hooks, CLIs, configs, memory & rules across e 416 ★
README
Xenopus
Xenopus, just like the lab frog of the same name, is my experimental Claude + Codex workflow library for high-rigor engineering work. It collects the instructions, specialist agents, reusable skills, and portable config examples behind a deliberately heavyweight engineering posture: maximum quality and performance, with no concern for speed, latency, token cost, or compute cost.
This library is for teams and individuals who want principal-level, FAANG-scale review pressure in their local assistant workflows. It is slightly opinionated: inspect real sources, prefer native Claude/Codex surfaces, validate hard, and keep only durable workflow artifacts that earn their maintenance cost.
At a Glance
| Surface | Claude target: Opus 4.7 |
Codex target: GPT 5.5 |
|---|---|---|
| Canonical workflows | 75 | 75 |
| Custom agents | 33 | 33 |
| Skills | 46 | 46 |
Repository Layout
LICENSE
README.md
Claude/
Instructions/
Opus 4.7/
maximum-quality.md
settings.example.json
Agents/
Opus 4.7/
.md
Skills/
Opus 4.7/
/
SKILL.md
Codex/
Instructions/
GPT 5.5/
AGENTS.md
config.example.toml
rules/
default.rules
Agents/
GPT 5.5/
.toml
Skills/
GPT 5.5/
/
SKILL.md
agents/
openai.yaml
How the Pieces Fit
Agents define delegated specialist roles. They are narrow, bounded lanes for implementation, review, research, and validation work where isolated context improves quality.
Config examples show the portable setup shape. They are intentionally examples, not drop-in credentials or machine-specific state. Review paths, permissions, plugins, MCP servers, connector settings, and environment variables before adapting them.
Instructions define the default behavior for a runtime. `maximum-quality.md` is the Claude output style for this stack, and `AGENTS.md` is the Codex-native instruction surfac
Related Skills
AI Config Sync Manager
Bidirectional sync for Claude Code and Codex — instructions, skills, agents, MCP servers, hooks, permissions.
Hawk Hooks
One registry for all your AI coding tools. Define skills, hooks, agents, prompts, and MCP servers once; hawk s
Friday
One CLI to manage AI agent configs from a single canonical store. One YAML source renders onto Claude Code, Co
Agnostic AI
Your AI coding harness, ported to every client you use. Capture Claude Code (or Codex) rules, hooks, skills, s
Seamark
🛡️ Change control for AI coding agents. See what Claude Code, Cursor, Codex and Gemini CLI can do in your rep
AI Harness Character Creator
AgentDeck: one local GUI to configure every AI coding agent. Tune behavior, permissions, token usage and cost,
Related Agents
Kenaz
Audits the security of Claude Code plugins, MCP servers, and AI agents before installation. Analyzes executabl
Nova AI
AI Specialist. Use 1-2x per week to research new AI tools, MCP servers, Claude features, skills, prompts, inte
Stuck Protocol Handler
Обработка stuck-протокола. Создаёт stuck-statement, рассылает LLM-кворум (Claude+Gemini+Codex), вызывает synth