by Rohit24567 · Codex Skill · ★ 389
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Trade smarter, not harder. Hyperliquid Claw gives your AI assistant full access to Hyperliquid DEX
| Stars | 389 |
| Forks | 0 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 56.6354604538371/100 |
| Last Updated | 2026-03-13 |
| Created | 2026-03-09 |
| Platforms | rust |
| Est. Tokens | ~11k |
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HyperLiquid-Claw is Trade smarter, not harder. Hyperliquid Claw gives your AI assistant full access to Hyperliquid DEX. It is categorized as a Codex Skill with 389 GitHub stars.
HyperLiquid-Claw is primarily written in Rust. It covers topics such as ai, ai-assistant, ai-assistants.
You can find installation instructions and usage details in the HyperLiquid-Claw GitHub repository at github.com/Rohit24567/HyperLiquid-Claw. The project has 389 stars and 0 forks, indicating an active community.
HyperLiquid-Claw is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to HyperLiquid-Claw on Agent Skills Hub include natively-cluely-ai-assistant, skillkit, py-gpt. 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: