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 ewsun22 · Codex Skill · ★ 54
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is codex-manager safe to install? View the security audit →
Codex Manager English | 简体中文 Your local control center for OpenAI Codex. Codex Manager is an unofficial, local-first desktop app for understanding and managing Codex usage on your own machine: sessions, models, reasoning effort, tokens, accounts, providers, projects, and files in one place. Download for macOS (Apple silicon) → Download Download the latest signed macOS release · Release assets and checksums · [All releases](https://github.com/ewsun22/codex-m
| Stars | 54 |
| Forks | 1 |
| Language | Rust |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 53.0422426111387/100 |
| Last Updated | 2026-09-05 |
| Created | 2026-08-27 |
| Platforms | cli, codex, rust |
| Est. Tokens | ~22k |
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codex-manager is Local-first desktop control center for OpenAI Codex — sessions, models, tokens, accounts, providers, and AGENTS.md.. It is categorized as a Codex Skill with 54 GitHub stars.
codex-manager is primarily written in Rust. It covers topics such as agents-md, ai-coding, codex.
You can find installation instructions and usage details in the codex-manager GitHub repository at github.com/ewsun22/codex-manager. The project has 54 stars and 1 forks, indicating an active community.
codex-manager is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to codex-manager on Agent Skills Hub include WhereMyTokens, codex-profiles, toktrack. 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: