by ArmorerLabs · Codex Skill · ★ 60
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
| Stars | 60 |
| Forks | 3 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-01 |
| Created | 2026-02-06 |
| Platforms | docker, node |
| Est. Tokens | ~15k |
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.
These tools work well together with Armorer for enhanced workflows:
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: