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 jundizhou · Agent Tool · ★ 1.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is easy-stock safe to install? View the security audit →
easy-stock：A股 AI 智能投研工作台 面向个人投资者的 A股行情分析、股票分析与 AI投研桌面应用 English | 简体中文 让 AI 看懂市场，让每一次判断都有证据。 把盘中观察、盘后复盘和长期认知，沉淀为一套持续进化的研究系统。 下载最新版 · 加入 QQ 群 · 查看核心能力 · 反馈问题 · 产品路线图 <img alt="Latest re
| Stars | 1,125 |
| Forks | 81 |
| Language | Go |
| Category | Agent Tool |
| Quality Score | 47.7006023174795/100 |
| Last Updated | 2026-10-03 |
| Created | 2026-08-07 |
| Platforms | go |
| Est. Tokens | ~17k |
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Looking for a easy-stock alternative? If you're comparing easy-stock with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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easy-stock is A股行情分析与AI智能投研智能体：股票分析、量化交易分析、盘后复盘桌面工作台——easy stock. It is categorized as a Agent Tool with 1.1k GitHub stars.
easy-stock is primarily written in Go. It covers topics such as a-share, ai, ai-agent.
You can find installation instructions and usage details in the easy-stock GitHub repository at github.com/jundizhou/easy-stock. The project has 1.1k stars and 81 forks, indicating an active community.
The top alternatives to easy-stock on Agent Skills Hub include PanWatch, stock-sdk, context-space. 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: