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FinSkillBench: Evaluating AI Agents and Domain Skills for Investment Management

Source
arxiv.org
Author
Jermyn Zhen Yong Bek, Zhuang Qiang Bok, Zhongtian Sun
Date
Why it matters

Curated packages — procedural documents paired with executable components — measurably outperform both bare models and skills the writes for itself, on tasks demanding point-in-time data and auditable . Useful evidence for how to invest in agent scaffolding.

Terms in this piece · Glossary
  • benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
  • agent skill — A reusable instruction file that teaches an agent how to do one job well — the procedure, the tools, and what counts as done.
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
  • structured output — Forcing a model's response to match a schema, so downstream code can parse it instead of guessing at prose.
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