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 RKiding · Agent Tool · ★ 3.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Awesome-finance-skills safe to install? View the security audit →
🧠 Awesome Finance Skills Transform your AI agent into a Wall Street analyst in seconds. A plug-and-play skill collection that empowers LLMs with real-time news, stock data, sentiment analysis, logic visualization, and market prediction capabilities. 🚀 New: DeepEar Live Demo (Free Lite Version) is now online: https://deepear.vercel.app/ English | 中文 🇬🇧 English ✨ Highlights 🚀 Quick Start Option 1: One-Step Install (Recommended) You can now install individual skills directly using : Option 2: Manual Installation bash Clone the repository git clone https://github.com/RKiding/Awesome-finance-skills.git Copy skills to your agent (example for OpenCode) cp -r Awesome-finance-skills/skills/ /.config/opencode/skill
| Stars | 3,016 |
| Forks | 387 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 70.5389925814595/100 |
| Open Issues | 8 |
| Last Updated | 2026-03-29 |
| Created | 2026-01-31 |
| Platforms | python |
| Est. Tokens | ~142k |
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Awesome-finance-skills is A collection of Awesome Finance Agent Skills for free and easy to start | 一系列开源免费的金融分析Agent Skills. It is categorized as a Agent Tool with 3.0k GitHub stars.
Awesome-finance-skills is primarily written in Python. It covers topics such as agent, agent-skills, finances.
You can find installation instructions and usage details in the Awesome-finance-skills GitHub repository at github.com/RKiding/Awesome-finance-skills. The project has 3.0k stars and 387 forks, indicating an active community.
Awesome-finance-skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Awesome-finance-skills on Agent Skills Hub include refly, deepchat, AgentChat. 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: