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 jason8745 · AI Tool · ★ 440
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is llm-agent-trader safe to install? View the security audit →
LLM Agent Trader AI-powered stock trading backtesting system that integrates Large Language Models for intelligent trading decision analysis. System Architecture Quick Start Prerequisites macOS/Linux: Native support for commands Windows: May require additional setup (WSL, Git Bash, or make utility installation) Install Dependencies Environment S
| Stars | 440 |
| Forks | 103 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 62.9516946041423/100 |
| Open Issues | 1 |
| Last Updated | 2025-12-04 |
| Created | 2025-07-31 |
| Platforms | python |
| Est. Tokens | ~78k |
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llm-agent-trader is an open-source ai tool by jason8745 with 440 GitHub stars.
llm-agent-trader is primarily written in Python.
You can find installation instructions and usage details in the llm-agent-trader GitHub repository at github.com/jason8745/llm-agent-trader. The project has 440 stars and 103 forks, indicating an active community.
llm-agent-trader is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to llm-agent-trader on Agent Skills Hub include EDRSilencer, perf-map-agent, shaping-skills. 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: