SLBench: Evaluating How LLM Agents Follow Logical Relations in Skills
Agent skills extend LLM agents with reusable procedures, tools, and domain-specific workflows, but their safety depends on resolving dependencies among interacting instructions. We introduce SkillLogic, a framework for analyzing logical rel
https://arxiv.org/abs/2607.09016v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
Light
How close the company’s idea is to your thesis statement
Sector
agents, llm, ai
Overlap with sectors you care about
Geography
Unknown
Location unknown — scores 0
Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
Traction → stable
Idea vs market ↓ declining
▸ Add / edit details
Correct facts used on the next screening or memo.
People
X
Xuan Chen
1.0
low confidence
C
Chengpeng Wang
1.0
low confidence
L
Lu Yan
1.0
low confidence
X
Xiangyu Zhang
1.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
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