by whchien · MCP Server · ★ 1.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install ai-trader
git clone https://github.com/whchien/ai-trader.gitTaken from the project's README on GitHub. Check the security audit before running it.
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 1,137 |
| Forks | 145 |
| Language | Python |
| Category | MCP Server |
| License | GPL-3.0 |
| Quality Score | 72/100 |
| Open Issues | 7 |
| Last Updated | 2026-03-28 |
| Created | 2024-06-18 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~729k |
AI-Trader 中文版說明 (Chinese Subpage) A professional, config-driven backtesting framework for algorithmic trading, built on Backtrader. Seamlessly test, optimize, and integrate trading strategies with Large Language Models (LLMs) across stocks, crypto, and forex markets. Key Features Config-Driven Workflows: Define and manage backtests with version-controllable YAML files for reproducible results.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: