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 gluk-w · Codex Skill · ★ 242
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claworc safe to install? View the security audit →
Claworc - secure and easy-to-use orchestrator for OpenClaw Claworc makes it safe and simple to run multiple OpenClaw instances across your organization from a single web dashboard. Each instance runs in an isolated container with its own browser, terminal, and persistent storage. Claworc proxies all traffic through a single entry point with hardened authentication, solving OpenClaw's biggest operational challenges: security, stability, access control, and multi-instance management. Use cases: Give every team their own AI agent; spin up a shared agent for data analysis; or manage AI bots for your clients from one place. What You Can Do Create and manage instances — spin up new isolated OpenClaw
| Stars | 242 |
| Forks | 36 |
| Language | Go |
| Category | Codex Skill |
| Quality Score | 54.8726590366424/100 |
| Open Issues | 7 |
| Last Updated | 2026-09-21 |
| Created | 2026-02-06 |
| Platforms | docker, go, k8s |
| Est. Tokens | ~16k |
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claworc is User-friendly orchestrator for OpenClaw. It is categorized as a Codex Skill with 242 GitHub stars.
claworc is primarily written in Go. It covers topics such as ai-agents, docker, kubernetes.
You can find installation instructions and usage details in the claworc GitHub repository at github.com/gluk-w/claworc. The project has 242 stars and 36 forks, indicating an active community.
The top alternatives to claworc on Agent Skills Hub include Canopy, ClawRecipes, secure-openclaw. 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: