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 agentpit-io · MCP Server · ★ 523
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is hunter-community safe to install? View the security audit →
🌏 中文(当前)· English Hunter Community Edition 别人的策略 · 你自己的 SKILL 一个平台 · 一亿套系统 Your investment brain, on your terms 对话 · 持仓 · 投资记忆体都在你磁盘 · 数据供给三选一(免费源 / 自接工具 / 平台管道)· 5 分钟跑起来 Chat / positions / thesis on your disk · pick your data supply — free sources, bring-your-own tools, or Hunter data pipeline 🚀 Live Demo · 📖 Docs · 🐦 Twitter · ⭐ Star us https://github.com/user-attachments/assets/37f4a065-663b-4eee-8d3f-c9c0573270e3 SaaS 完整演示 · 3 分 34 秒 · 深度分析 + 走势预测 + SKILL 使用 · 点视频左下角播放 ⚠️ 免责声明:本项目是投研分析工具 · 所有输出为 AI 生成内容 · 仅供研究参考 · 不构成任何投资建议 · 投资有风险 · 决策需谨慎 #
| Stars | 523 |
| Forks | 67 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 61.1056994707/100 |
| Open Issues | 19 |
| Last Updated | 2026-09-19 |
| Created | 2026-08-10 |
| Platforms | claude-code, docker, mcp, python |
| Est. Tokens | ~18k |
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hunter-community is HunterCode · Community Edition · 腾讯 WorkBuddy 金融版的开源本地替代方案 · open-source, local alternative to Tencent WorkBuddy Finance Edition · 多智能体投研终端 A股/港股/美股 · 推理在你机器上跑 · 仓位不出你硬盘 · BYOK · Apache 2.0 · docker c. It is categorized as a MCP Server with 523 GitHub stars.
hunter-community is primarily written in Python. It covers topics such as ai-agents, ai-hedge-fund, ai-quant.
You can find installation instructions and usage details in the hunter-community GitHub repository at github.com/agentpit-io/hunter-community. The project has 523 stars and 67 forks, indicating an active community.
hunter-community is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to hunter-community on Agent Skills Hub include cccc, maverick-mcp, sandboxed.sh. 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: