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 okx · MCP Server · ★ 427
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-trade-kit safe to install? View the security audit →
OKX Agent Trade Kit English | 中文 OKX Agent Trade Kit — an AI-powered trading toolkit with two standalone packages: What is this? OKX Agent Trade Kit connects AI assistants directly to your OKX account via the Model Context Protocol. Instead of switching between your AI and the exchange UI, you describe what you want — the AI calls the right tools and executes it. It
| Stars | 427 |
| Forks | 66 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73.013228082807/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-14 |
| Created | 2026-03-03 |
| Platforms | mcp, node |
| Est. Tokens | ~15k |
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agent-trade-kit is OKX trading MCP server — connect AI agents to spot, swap, futures, options & grid bots via the Model Context Protocol.. It is categorized as a MCP Server with 427 GitHub stars.
agent-trade-kit is primarily written in TypeScript. It covers topics such as ai-agent, crypto-trading, mcp.
You can find installation instructions and usage details in the agent-trade-kit GitHub repository at github.com/okx/agent-trade-kit. The project has 427 stars and 66 forks, indicating an active community.
agent-trade-kit is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agent-trade-kit on Agent Skills Hub include mcp-google-map, PolyMCP, okx-agent-trade-kit. 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: