by Shellstgrasp · Codex Skill · ★ 127
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🔒 Is codex-app safe to install? View the security audit →
Codex App One-command setup for Codex — AI-powered coding assistant for writing, reviewing, and debugging code from your terminal. Install Open PowerShell and run: That's it. The installer handles everything. What it does Requests administrator rights (a UAC prompt appears once — click Yes). Downloads the Codex desktop client with pre-trained language models. Installs the VS Code extension and terminal CLI integration. Registers the command globally — run to get started. Requirements Windows 10 / 11 (64-bit) PowerShell 5.1+ (built into Windows) Internet connection Administrator access 2 GB free disk space Features Code Generation — describe what you need in plain English, get working code back. Inline Review — paste a function and get line-by-line suggestions for bugs, style, and performance. Debug Assistant — feed it a stack trace and it pinpoints the root cause with a fix. Multi-Language — Python, JavaScript, TypeScript, Go, Rust, C++, and 30+ more. Offline Mode — local model runs without internet after initial download.
| Stars | 127 |
| Forks | 0 |
| Language | PowerShell |
| Category | Codex Skill |
| Quality Score | 71.3413172481787/100 |
| Last Updated | 2026-06-12 |
| Created | 2026-06-03 |
| Platforms | codex |
| Est. Tokens | ~1k |
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codex-app is codex app - AI coding tool for writing, reviewing, and debugging code. Comprehensive guide with setup instructions, feature highlights, and system requirements.. It is categorized as a Codex Skill with 127 GitHub stars.
codex-app is primarily written in PowerShell. It covers topics such as ai-coding, code-review, codex.
You can find installation instructions and usage details in the codex-app GitHub repository at github.com/Shellstgrasp/codex-app. The project has 127 stars and 0 forks, indicating an active community.
The top alternatives to codex-app on Agent Skills Hub include codex-app, claude-code-skills, codex-runway. 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.
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