by ArmorerLabs · Codex Skill · ★ 58
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Armorer Local control plane for AI agents Run OpenClaw, NanoClaw, and future agents with local sandboxes, guided setup, credential handling, guardrails, approvals, jobs, logs, and runtime health in one place. Run any agent. Securely. Local-first by default. Experimental release candidate: Armorer is under active development. The current release train is intended for early testers who are comfortable with local agent runtimes, Docker/Colima, and rapidly evolving setup flows. Website · Install · Docs for humans · [Issues](https://github.com/Armor
| Stars | 58 |
| Forks | 3 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63.2631773617152/100 |
| Open Issues | 3 |
| Last Updated | 2026-06-30 |
| Created | 2026-02-06 |
| Platforms | docker, node |
| Est. Tokens | ~15k |
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Armorer is Local control plane for running AI agents with sandboxes, approvals, guardrails, credentials, and runtime health.. It is categorized as a Codex Skill with 58 GitHub stars.
Armorer is primarily written in TypeScript. It covers topics such as agent-runtime, agent-security, ai-agents.
You can find installation instructions and usage details in the Armorer GitHub repository at github.com/ArmorerLabs/Armorer. The project has 58 stars and 3 forks, indicating an active community.
Armorer is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Armorer on Agent Skills Hub include ClawGuard, agent-security-scanner-mcp, rampart. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.