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 robzilla1738 · MCP Server · ★ 62
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Codex-Workflows safe to install? View the security audit →
Codex Workflows Codex has subagents, skills, plugins, and MCP. connects those pieces into a workflow-as-code runtime: durable multi-agent runs, a live terminal dashboard, restartable agents, saved workflow scripts, and review templates that are meant to be used on real repos. This is not a native Codex command. Codex does not expose that plugin API today. This project ships the closest available surface: a Codex plugin with an MCP server and a terminal UI. Install Install it from the GitHub marketplace in this repo: Start a new Codex thread after installing. Then ask: Codex will call the bundled MCP server. The server starts the workflow, opens the live TUI in your default terminal, and returns a run id you can inspect from Codex or from the CLI. What it in
| Stars | 62 |
| Forks | 0 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.6180201685509/100 |
| Last Updated | 2026-06-05 |
| Created | 2026-06-03 |
| Platforms | codex, mcp, node |
| Est. Tokens | ~73k |
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Codex-Workflows is Workflow-as-code orchestration for Codex. It is categorized as a MCP Server with 62 GitHub stars.
Codex-Workflows is primarily written in TypeScript. It covers topics such as codex, codex-plugin, mcp.
You can find installation instructions and usage details in the Codex-Workflows GitHub repository at github.com/robzilla1738/Codex-Workflows. The project has 62 stars and 0 forks, indicating an active community.
Codex-Workflows is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Codex-Workflows on Agent Skills Hub include sudocode, claude-code-open, google-ai-mode-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: