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 skills-directory · Claude Skill · ★ 1.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skill-codex safe to install? View the security audit →
Note: If you want a more autonomous setup for agentic workflows, check out klaudworks/ralph-meets-rex. Codex Integration for Claude Code Purpose Enable Claude Code to invoke the Codex CLI ( and session resumes) for automated code analysis, refactoring, and editing workflows. Prerequisites CLI installed and available on . Codex configured with valid credentials and settings. Confirm the installation by running ; resolve any errors before using the skill. Installation This repository is structured as a Claude Code Plugin with a marketplace. You can install it as a plugin (recommended) or extract it as a standalone skill. Option 1: Plugin Installation (Recommended) Install via Claude Code's plugin system for automatic updates: Option 2: Standalone Skill Installation Extract the skill folder manually: Usage Important: Thinking
| Stars | 1,434 |
| Forks | 112 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 73.5526659687452/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-13 |
| Created | 2025-10-21 |
| Platforms | claude-code, codex |
| Est. Tokens | ~5k |
These tools work well together with skill-codex for enhanced workflows:
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skill-codex is A claude code skill to delegate prompts to codex. It is categorized as a Claude Skill with 1.4k GitHub stars.
You can find installation instructions and usage details in the skill-codex GitHub repository at github.com/skills-directory/skill-codex. The project has 1.4k stars and 112 forks, indicating an active community.
skill-codex is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skill-codex on Agent Skills Hub include openpencil, Overture, cursor-talk-to-figma-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: