one — security grade SAFE, quality 66/100

Security audit verdict: SAFE · quality 66/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by one-ie · Codex Skill · ★ 130

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is one safe to install? View the security audit →

About one

ONE AI agents that learn. Build in markdown. Deploy everywhere. Write a markdown file. Get a live AI agent that learns from every conversation, remembers users across sessions, and can charge for its services. See it work 1. Write an agent in markdown: 2. Deploy it: 3. Talk to it: Your agent is now live on Telegram, Discord, and web. Users can message it. It remembers them. It learns what works. Why ONE? Your agents get smarter over time Every conversation teaches your agents. Success strengthens pathways. Failure weakens them. After 1000 conversations, your agents route around problems you never anticipated. Day

aiastroastro-7astrojsastrojs-templateclaudecodexcursorreactreact-19

Quick Facts

Stars130
Forks26
LanguageAstro
CategoryCodex Skill
Quality Score66.1652778745866/100
Last Updated2026-09-28
Created2024-11-12
Platformsbrowser, claude-code, codex
Est. Tokens~18k

Compatible Skills

These tools work well together with one for enhanced workflows:

  • styleseed — semantic(0.31)+complementary+rare_topics+same_lang+similar_pop+shared_platform (70%)
  • plate-playground-template — semantic(0.34)+complementary+shared_fw(react)+rare_topics+same_lang+similar_pop+shared_platform (69%)
  • plate-template — semantic(0.32)+complementary+shared_fw(react)+rare_topics+same_lang+similar_pop+shared_platform (69%)
  • ui — semantic(0.19)+complementary+shared_fw(react)+rare_topics+same_lang+shared_platform (64%)

one alternative? Top 6 similar tools

Looking for a one alternative? If you're comparing one 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.

  • agnix by agent-sh · ⭐ 430

    The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plug

  • Overture by SixHq · ⭐ 641

    Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server

  • skillport by gotalab · ⭐ 406

    Bring Agent Skills to Any AI Agent and Coding Agent — via CLI or MCP. Manage once, serve anywhere.

  • Context-Engine by Context-Engine-AI · ⭐ 402

    Context-Engine MCP - Agentic Context Compression Suite

  • flutter-skill by ai-dashboad · ⭐ 362

    AI-powered E2E testing for 10 platforms. 253 MCP tools. Zero config. Works with Claude, Cursor, Windsurf, Copi

  • ClaudeR by IMNMV · ⭐ 346

    Connect RStudio to Claude Code, Codex, Gemini, and other LLM agents via MCP. Multi-agent orchestration, automa

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Frequently Asked Questions

What is one?

one is Make Your Ideas Real. Build Apps, Websites and AI Agents with Plain English with Astro, React, Shadcn and Cloudflare. It is categorized as a Codex Skill with 130 GitHub stars.

What programming language is one written in?

one is primarily written in Astro. It covers topics such as ai, astro, astro-7.

How do I install or use one?

You can find installation instructions and usage details in the one GitHub repository at github.com/one-ie/one. The project has 130 stars and 26 forks, indicating an active community.

What are the best alternatives to one?

The top alternatives to one on Agent Skills Hub include agnix, Overture, skillport. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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:

View on GitHub → Browse Codex Skill tools