Vibe-Research — security grade SAFE, quality 63/100

Security audit verdict: SAFE · quality 63/100

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 simonlin1212 · MCP Server · ★ 2.5k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is Vibe-Research safe to install? View the security audit →

About Vibe-Research

Vibe-Research · 个人 AI 投研系统(A股/美股/港股) 🌐 官网 · 产品预览 · 功能 · 数据源 · 快速开始 · 接入 AI · 合规 · 相关生态 · 联系作者 Vibe-Research: Your Personal Trading Research Agent · A股 / 美股 / 港股 的个人投研 Agent。 每日复盘、资讯雷达、个股数据、板块中心、我的持仓、研究记录。把数据和功能配齐,由你自己的 AI 驱动投资研究。 Vibe-Research 是一个开源的「个人 AI 投研看板」,主推 A 股、兼看美股 / 港股(A 股常要看隔夜外围脸色,数据配上更全)。它不替你做决定——把行情、研报、估值、财务、公告、资金面、资讯都配齐,放进一个干净的看板,再留一个能接入你自己的 AI 的接口。方向和结论,交给你自己配置的模型 / agent。 Vibe-Research: Your Personal Trading Research Agent. An open dashboard for China A-share (plus US / HK): it wires up all the data and plugs into your own AI / agent — it never recommends a stock. You bring the model, it brings the data. 🖥️

a-stockai-agentcodexcodex-harnessdashboardfinancial-researchfintechhk-stocksinvestment-researchllm

Quick Facts

Stars2,530
Forks517
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score62.9633693243167/100
Open Issues2
Last Updated2026-09-20
Created2026-07-05
Platformscodex, mcp, node
Est. Tokens~16k

Compatible Skills

These tools work well together with Vibe-Research for enhanced workflows:

  • maia-skill — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)

Vibe-Research alternative? Top 6 similar tools

Looking for a Vibe-Research alternative? If you're comparing Vibe-Research with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • maverick-mcp by wshobson · ⭐ 668

    MaverickMCP - Personal Stock Analysis MCP Server

  • valuecell by ValueCell-ai · ⭐ 11.0k

    ValueCell is a community-driven, multi-agent platform for financial applications.

  • open-trading-api by koreainvestment · ⭐ 1.6k

    Korea Investment & Securities Open API Github

  • python-utcp by universal-tool-calling-protocol · ⭐ 650

    Official python implementation of UTCP. UTCP is an open standard that lets AI agents call any API directly, wi

  • Overture by SixHq · ⭐ 630

    Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server

  • joinly by joinly-ai · ⭐ 564

    Make your meetings accessible to AI Agents

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Frequently Asked Questions

What is Vibe-Research?

Vibe-Research is Vibe-Research: Your Personal Trading Research Agent · A股/美股/港股 的个人投研 Agent:每日复盘、资讯雷达、个股数据、板块中心、我的持仓、研究记录、回测。Vibe-Research 把数据和功能配齐,由你自己的 Agent 驱动投资研究。基于开源的 Codex Harness 打造。. It is categorized as a MCP Server with 2.5k GitHub stars.

What programming language is Vibe-Research written in?

Vibe-Research is primarily written in TypeScript. It covers topics such as a-stock, ai-agent, codex.

How do I install or use Vibe-Research?

You can find installation instructions and usage details in the Vibe-Research GitHub repository at github.com/simonlin1212/Vibe-Research. The project has 2.5k stars and 517 forks, indicating an active community.

What license does Vibe-Research use?

Vibe-Research is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to Vibe-Research?

The top alternatives to Vibe-Research on Agent Skills Hub include maverick-mcp, valuecell, open-trading-api. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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