Instructions to use SkillScreen/SkillScreen-2B-MSD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkillScreen/SkillScreen-2B-MSD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SkillScreen/SkillScreen-2B-MSD")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("SkillScreen/SkillScreen-2B-MSD") model = AutoModelForSequenceClassification.from_pretrained("SkillScreen/SkillScreen-2B-MSD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 995 Bytes
0ae19df | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | cff-version: 1.2.0
message: "If you use this work in research, please cite the paper in preferred-citation."
type: software
title: "SkillScreen"
authors:
- family-names: Huang
given-names: Jerrold
- family-names: Quan
given-names: Junwei
- family-names: Lyu
given-names: Saiyue
- family-names: Guo
given-names: Zihan
- family-names: Ge
given-names: Yingqiang
url: "https://huggingface.co/SkillScreen/SkillScreen-2B-MSD"
license: Apache-2.0
preferred-citation:
type: article
license: CC-BY-4.0
title: "SkillScreen: High-Recall Screening of Malicious Agent Skills with Decision Models"
authors:
- family-names: Huang
given-names: Jerrold
- family-names: Quan
given-names: Junwei
- family-names: Lyu
given-names: Saiyue
- family-names: Guo
given-names: Zihan
- family-names: Ge
given-names: Yingqiang
journal: "arXiv"
year: 2026
doi: "10.48550/arXiv.2610.17727"
url: "https://arxiv.org/abs/2610.17727"
|