by momozi1996 · Codex Skill · ★ 1.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/momozi1996/momo-code.git
Taken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 1,106 |
| Forks | 27 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 71/100 |
| Last Updated | 2026-10-22 |
| Created | 2026-06-16 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~22k |
MOMO CODE AI-powered coding agent that evolves with you. Built on opencode with a unique dual-speed self-evolution system based on Pioneer Agent. ⚠️ Experimental / Active Development v2.0.0 (2026-10-11) 重大架构升级中。 当前版本引入了 Pi 框架集成、RSI 自进化循环和 JEV 决策层。 Pi 框架集成()作为扩展依赖 交互式 REPL,带思维链面板、决策胶囊与键盘快捷键 J
These tools work well together with momo-code for enhanced workflows:
Looking for a momo-code alternative? If you're comparing momo-code with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
🧑🎨 A collection of Golang agentic skills that works
Local-first desktop widget for tracking token usage, costs, limits, and session activity across 46+ AI coding
🐧 Unified and Stable RSI Platform
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown a
Practical productivity tools for Claude Code, Codex-CLI, and similar CLI coding agents.
a recursive self-improving harness designed to help your agents (and future iterations of those agents) succee
Explore other popular codex skill tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: