finvault-benchmarking-financial-agent-safety-in

name	finvault-benchmarking-financial-agent-safety-in
title	FinVault: Benchmarking Financial Agent Safety in Execution-Grounded Environments
version	0.0.2
engine	skillxiv-v0.0.2-claude-opus-4.6
license	MIT
url	https://arxiv.org/abs/2601.07853
keywords	["Agent","Benchmark"]
description	Financial agents powered by large language models (LLMs) are increasingly deployed for investment analysis, risk assessment, and automated decision-making, where their abilities to plan, invoke tools, and manipulate mutable state introduce new security risks in high-stakes and highly regulated financial environments. However, existing safety evaluations largely focus on language-model-level content compliance or abstract agent settings, failing to capture execution-grounded risks arising from re...

Overview

This skill covers finvault: benchmarking financial agent safety in execution-grounded environments. It addresses critical challenges in autonomous agent development.

Key Concepts

The paper introduces novel approaches to:

• Agent evaluation and benchmarking
• Improving agent efficiency and reasoning
• Designing robust agent systems

When to Use

Use this when working on:

• Agent-based systems and evaluation
• Autonomous reasoning and planning
• Multi-agent frameworks

When NOT to Use

• Non-agent applications
• Tasks requiring implementation code (see the paper)

References

• Paper: https://arxiv.org/abs/2601.07853
• PDF: https://arxiv.org/pdf/2601.07853