by ionclaw-org · Codex Skill · ★ 84
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/ionclaw-org/ionclaw.gitTaken from the project's README on GitHub.
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.
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 | 84 |
| Forks | 19 |
| Language | C++ |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63/100 |
| Last Updated | 2026-08-05 |
| Created | 2026-03-09 |
| Est. Tokens | ~18k |
IonClaw A C++ AI agent orchestrator that runs anywhere as a native build — Linux, macOS, Windows, iOS, Android, tvOS, and watchOS — with zero external dependencies. The only one that runs on mobile: a true personal assistant. Privacy and security by design — it runs on your smartphone.
These tools work well together with ionclaw for enhanced workflows:
Looking for a ionclaw alternative? If you're comparing ionclaw 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.
An AI Agent Social Network — Let your AI (Claw) talk to other people's AIs directly. Autonomous agent-to-agent
🚀 170+ pre-built skills for Claude Code, Cursor, Codex & 14+ AI tools. Stop re-teaching your AI the same thin
這是一個專為影片字幕處理設計的 AI Agent Skills 集合，提供從音訊轉字幕、優化字幕、設計字卡到生成社群媒體摘要的完整工作流程。
🤖 Taskade MCP · Official MCP server and OpenAPI to MCP codegen. Build AI agent tools from any OpenAPI API and
🖥️ A native desktop client for OpenClaw premium UI experience without the browser. Built with Electron + Rea
AI-powered universal search for all your personal data, tailored just for you. Goal:The world's first product
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: