by SebastianElvis · Codex Skill · ★ 65
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
ClawPier AI agents have OS-level access to your machine. ClawPier runs them in a sandbox. A native desktop app for managing OpenClaw and Hermes AI agent instances inside Docker containers — sandboxed from your host by default. Available on macOS, Linux, and Windows. ▶ Watch full demo (60s) Why ClawPier? AI agent runtimes like OpenClaw and Hermes have OS-level access to your email, calendars, files, and messaging platforms. Running them directly on your host means a prompt injection gives an attacker your machine (CVE-2026-25253, CVSS 8.8). ClawPier fixes this by running every agent
| Stars | 65 |
| Forks | 9 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 71.624796204941/100 |
| Open Issues | 14 |
| Last Updated | 2026-04-10 |
| Created | 2026-03-13 |
| Platforms | docker, node |
| Est. Tokens | ~490k |
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clawpier is Desktop app for managing sandboxed OpenClaw and Hermes AI agent instances via Docker. Built with Tauri v2.. It is categorized as a Codex Skill with 65 GitHub stars.
clawpier is primarily written in TypeScript. It covers topics such as ai, ai-agents, automation.
You can find installation instructions and usage details in the clawpier GitHub repository at github.com/SebastianElvis/clawpier. The project has 65 stars and 9 forks, indicating an active community.
clawpier is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to clawpier on Agent Skills Hub include agnix, mcp-linker, claude-emporium. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.