by BigPizzaV3 · Codex Skill · ★ 32.6k
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. 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 | 32,619 |
| Forks | 2,104 |
| Language | Rust |
| Category | Codex Skill |
| License | AGPL-3.0 |
| Quality Score | 54/100 |
| Open Issues | 82 |
| Last Updated | 2026-10-26 |
| Created | 2026-05-06 |
| Platforms | codex, rust |
| Est. Tokens | ~26k |
给你的 AI 编程 Agent 加一点「++」。 以 Codex 为核心,同时管理 Claude Code、Claude Desktop 与 Grok,还能把 Computer Use 共享给各个 Agent。 下载最新版 ↗ · 快速上手 · 功能一览 · 反馈问题 · English <p align="center
These tools work well together with CodexPlusPlus for enhanced workflows:
Looking for a CodexPlusPlus alternative? If you're comparing CodexPlusPlus with other codex skill tools, these 3 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Agent skill that removes signs of AI-generated writing from text
Superset is an agentic IDE to orchestrate 100+ coding agents in parallel. Run any agent with your own subscrip
The first open-source agent skills builder. Define skills by vibe workflow, run on Claude Code, Cursor, Codex
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: