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 FTShare-Lab · Agent Tool · ★ 50
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is FTShare-skills safe to install? View the security audit →
FTShare Skills 中文 | English 是 ftshare 开源生态中的 Agent Skill 仓库，用于沉淀金融数据 Skill 和投研业务 Skill。 本仓库面向 Claude Code、Codex、OpenClaw 等 Agent 运行时，目标是把 FTShare 的金融数据能力和投研业务流程封装成 Agent 可理解、可调用、可复用的 Skill，让 Agent 能从“调用数据”进一步走向“完成投研任务”。 仓库定位 不是单一数据接口仓库，也不是 Python SDK。 它主要承载两类能力： 数据级 Skill 封装 FTShare 行情、财务、宏观、指数、ETF、基金、港美股、新闻等数据接口，让 Agent 能稳定获取结构化金融数据。 业务级 Skill 基于数据能力进一步组织个股分析、财报解读、行业分析、盘后复盘、持仓分析等投研工作流，让 Agent 不只“查数据”，还能“完成任务”。 当前已提供 数据级 Skill。后续会逐步补充面向真实投研场景的业务级 Skill。 仓库内容 当前说明： 根目录 README 只说明整个 Skill 仓库的定位和结构。 具体 Skill 的安装、调用、参数和示例，请进入对应子目录查看 README。 当前可用的 Skill 是 。 业务级 Skill 会在后续版本中逐步加入。 当前可用 Skill FTShare-market-data 是当前已提供的数据级 Skill，用于让 Agent 调用 FTShare 金融数据能力。 它覆盖 A 股、港股、美股、ETF、基金、指数、板块、资金流、宏观经济、财经日历、新闻等数据方向。 具体使用方式请查看： 后续业务级 Skill 后续将逐步建设： 个股分析 Skill 财报解读 Skill 行业分析 Skill 盘后复盘 Skill 持仓分析 Skill 事件分析 Skill 标准投研数据包 面向 Agent 的自动化报告生成工作流 业务级 Skill 的目标不是继续暴露更多原始接口，而是围绕真实投研任务组织数据、逻辑和输出结
| Stars | 50 |
| Forks | 7 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 65.4944466099699/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-19 |
| Created | 2026-06-28 |
| Platforms | python |
| Est. Tokens | ~14k |
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FTShare-skills is FTShare Agent Skills for financial data and investment research workflows｜金融数据 Skill 与投研业务 Skill 仓库。. It is categorized as a Agent Tool with 50 GitHub stars.
FTShare-skills is primarily written in Python. It covers topics such as agent, agent-skills, agent-tools.
You can find installation instructions and usage details in the FTShare-skills GitHub repository at github.com/FTShare-Lab/FTShare-skills. The project has 50 stars and 7 forks, indicating an active community.
FTShare-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to FTShare-skills on Agent Skills Hub include quant-buddy-skills, ai-agent-tools-catalog, mcp-steroid. 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: