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 kennethleungty · Agent Tool · ★ 138
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Finance-LLMs safe to install? View the security audit →
Compilation of Real-World LLM & AI Agent Use Cases in Financial Services Context Large language models (LLMs) and AI agents are transforming financial services: from streamlining regulatory compliance and accelerating deal analysis to personalizing customer experiences and automating complex workflows across banking, trading, and asset management. This repository curates real-world LLM and agentic AI implementations in finance, showcasing enterprise platforms, specialized models, and integrated solutions deployed by leading financial institutions worldwide. Have a great example of LLMs in the financial services sector? Contribute by opening a pull request or submitting an issue. 📑 Table of Contents Retail & Commercial Banking Covers personal and business banking services—checking and savings accounts, mortgages, SME financing, and credit solutions. Also addresses central banking operations, digital transformation in traditional banks, and AI-driven advisory for both retail and corporate clients. Wealth & Asset Management Encompasses asset and wealth advisory, mutual funds, private equity, institutional asset management, robo-advisory, and portfolio m
| Stars | 138 |
| Forks | 24 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 52.9782052929191/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-25 |
| Created | 2023-09-25 |
| Est. Tokens | ~28k |
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Finance-LLMs is Comprehensive Compilation of Real-World LLM & AI Agent Use Cases in Financial Services. It is categorized as a Agent Tool with 138 GitHub stars.
You can find installation instructions and usage details in the Finance-LLMs GitHub repository at github.com/kennethleungty/Finance-LLMs. The project has 138 stars and 24 forks, indicating an active community.
Finance-LLMs is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Finance-LLMs on Agent Skills Hub include agent-builder, Odyssey, oreilly-ai-agents. 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: