Anonymous submission to NeurIPS 2026 — Datasets & Benchmarks Track.
Camera-ready metadata will be added after acceptance.
A 245 K-skill in-the-wild dataset for cross-context misalignment in AI
agent skill packages — when a skill's metadata description does not match
its instruction body or the resource files it ships. The dataset supports
training and evaluation of detectors that flag misaligned packages before
an agent loads them.
Code, Docker pipelines, and the paper… See the full description on the dataset page:
https://huggingface.co/datasets/anon-skillsalign-26/skill_align.