ai-ready — security grade SAFE, quality 70/100

Security audit verdict: SAFE · quality 70/100

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 johnpapa · Codex Skill · ★ 220

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

🔒 Is ai-ready safe to install? View the security audit →

About ai-ready

AI Ready An Agent Skill that analyzes your repository and generates the configuration files AI agents need to contribute correctly. GitHub-native — it auto-discovers your repo's context, community health, and PR review patterns without you explaining anything. Works in GitHub Copilot, Claude Code, OpenAI Codex, Cursor, and any other tool that supports the Agent Skills standard. Quick Start Any agent, one command The open skills CLI installs into Claude Code, Codex, Cursor, Copilot, and 70+ other agents: That's it — no per-tool setup. Restart your agent afterward. Native plugin installs Prefer your tool's own plugin system? Each of these installs the same skill. | Anyth

agent-skillsagentsagents-mdai-readyclaude-codecodexcopilotcopilot-clicopilot-plugincursor

Quick Facts

Stars220
Forks22
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score69.627499266595/100
Open Issues2
Last Updated2026-09-27
Created2026-04-23
Platformsclaude-code, cli, codex, python
Est. Tokens~16k

Compatible Skills

These tools work well together with ai-ready for enhanced workflows:

  • melta-ui — semantic(0.27)+complementary+rare_topics+similar_pop+shared_platform (54%)
  • skrills — semantic(0.36)+complementary+similar_pop+shared_platform (53%)
  • promptscript — semantic(0.22)+complementary+rare_topics+similar_pop+shared_platform (52%)
  • cli — semantic(0.34)+complementary+similar_pop+shared_platform (52%)

ai-ready alternative? Top 6 similar tools

Looking for a ai-ready alternative? If you're comparing ai-ready 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.

  • ok-skills by mxyhi · ⭐ 492

    Curated AI coding agent skills and AGENTS.md playbooks for Codex, Claude Code, Cursor, OpenClaw, and other SKI

  • AgentLint by 0xmariowu · ⭐ 53

    The linter for your agent harness. Works with Claude Code, Codex, and Cursor.

  • memorix by AVIDS2 · ⭐ 825

    Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Wi

  • Overture by SixHq · ⭐ 641

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

  • compose-skill by aldefy · ⭐ 561

    Jetpack Compose Agent Skill — AI-powered coding guidance with actual androidx/androidx source code receipts. W

  • agnix by agent-sh · ⭐ 439

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

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Frequently Asked Questions

What is ai-ready?

ai-ready is Agent Skill that analyzes your repo and generates the AI-ready configuration coding agents need — AGENTS.md, copilot-instructions, CI, issue templates, and more. Works in Claude Code, GitHub Copilot, . It is categorized as a Codex Skill with 220 GitHub stars.

What programming language is ai-ready written in?

ai-ready is primarily written in Python. It covers topics such as agent-skills, agents, agents-md.

How do I install or use ai-ready?

You can find installation instructions and usage details in the ai-ready GitHub repository at github.com/johnpapa/ai-ready. The project has 220 stars and 22 forks, indicating an active community.

What license does ai-ready use?

ai-ready is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to ai-ready?

The top alternatives to ai-ready on Agent Skills Hub include ok-skills, AgentLint, memorix. 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