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 hesamsheikh · Codex Skill · ★ 31.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-openclaw-usecases safe to install? View the security audit →
Discover ways of how people are really using OpenClaw (previously ClawdBot, MoltBot) in their daily life. Say hello on X. Awesome OpenClaw Use Cases Solving the bottleneck of OpenClaw adaptation: Not skills, but finding ways it can improve your life. This is a community collection of real-life use cases for OpenClaw. Warning: OpenClaw skills and third-party dependencies referenced here may have critical security vulnerabilities. Many use cases link to community-built skills, plugins, and external repos that have not been audited by the maintainer of this list. Always review skill source code, check request
| Stars | 31,671 |
| Forks | 2,719 |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 56.449907242806/100 |
| Open Issues | 77 |
| Last Updated | 2026-03-24 |
| Created | 2026-02-08 |
| Est. Tokens | ~11k |
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awesome-openclaw-usecases is A community collection of OpenClaw use cases for making life easier.. It is categorized as a Codex Skill with 31.7k GitHub stars.
You can find installation instructions and usage details in the awesome-openclaw-usecases GitHub repository at github.com/hesamsheikh/awesome-openclaw-usecases. The project has 31.7k stars and 2719 forks, indicating an active community.
awesome-openclaw-usecases is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to awesome-openclaw-usecases on Agent Skills Hub include awesome-openclaw-skills, ClawX, AionUi. 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: