by arctic-cli · Codex Skill · ★ 154
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 154 |
| Forks | 10 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63/100 |
| Last Updated | 2026-06-23 |
| Created | 2025-12-25 |
| Platforms | codex, gemini, node |
| Est. Tokens | ~14k |
Arctic is for developers who want to use AI coding agents without losing track of their usage limits or juggling between personal and work accounts. Real-time usage tracking for all your coding plans Multiple accounts per provider (personal + work) Switch models mid-conversation Imports your existing Claude Code and OpenCode config Get Started Supported Providers Coding Plans: Claude Code • Codex...
Looking for a interface alternative? If you're comparing interface 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.
Generate and evaluate agent skills for code agents like Claude Code, Open Code, OpenAI Codex
Набор навыков для AI(ИИ)-агентов (Claude Code, Cursor, Codex и др.), помогающий охватить полный цикл разработк
开源了Codex Skills等集合,大部分是自己实际需要搞得,需要的自取。欢迎star
Skills for agentic development on Solana
Claude Code / Codex skill: reverse engineer a product & technical spec from a git branch
A Codex/Claude skill that maintains per-repo operating theory documents.
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: