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 coinbase · Agent Tool · ★ 126
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agentic-wallet-skills safe to install? View the security audit →
Coinbase Agentic Wallet Skills Agent Skills for crypto wallet operations. These skills enable AI agents to authenticate, send USDC, trade tokens and more using the CLI. What it does A single skill — — that routes the agent to topic-specific reference docs in : [](./skills/agentic-wallet/r
| Stars | 126 |
| Forks | 53 |
| Language | JavaScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 68.5965151476123/100 |
| Open Issues | 29 |
| Last Updated | 2026-08-04 |
| Created | 2026-02-09 |
| Platforms | node |
| Est. Tokens | ~4k |
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agentic-wallet-skills is npx skills add coinbase/agentic-wallet-skills. It is categorized as a Agent Tool with 126 GitHub stars.
agentic-wallet-skills is primarily written in JavaScript.
You can find installation instructions and usage details in the agentic-wallet-skills GitHub repository at github.com/coinbase/agentic-wallet-skills. The project has 126 stars and 53 forks, indicating an active community.
agentic-wallet-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agentic-wallet-skills on Agent Skills Hub include claude-plugins, tutor-skills, repren. 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: