Add link to paper

README.md

@@ -1,40 +1,42 @@
----
-library_name: transformers
-pipeline_tag: text-classification
-license: other
-license_name: skillscreen-proprietary
-license_link: LICENSE
-base_model: AlexWortega/openjev
-datasets:
-- ProtectSkills/MaliciousSkillBench
-tags:
-- skillscreen
-- agent-security
-- nli
-- sbr
----
-
-# SkillScreen-2B-SBR
-
-2B decision model for detecting malicious agent skills from `SKILL.md`. Trained on MaliciousSkillBench using Source-Balanced Random (SBR), with an 8K input budget.
-
-Based on [OpenJev 2B](https://huggingface.co/AlexWortega/openjev). Full weights are at the root. The original LoRA adapter and classification head are in `adapter/`.
-
-## Use
-
-Requires CUDA with BF16 support.
-
-```bash
-pip install huggingface_hub
-hf download SkillScreen/SkillScreen-2B-SBR --revision v1 --local-dir skillscreen
-pip install -r skillscreen/requirements.txt
-python skillscreen/score.py path/to/SKILL.md
-```
-
-Native maliciousness score **≥ 0.5** is flagged as suspicious.
-
-[Checkpoint details](provenance.json) · [Export verification](merge_verification.json) · [Project page](https://jerroldh.github.io/SkillScreen-webpage/) · [Code](https://github.com/JerroldH/SkillScreen)
-
-Jerrold Huang, Junwei Quan, Saiyue Lyu, Zihan Guo, Yingqiang Ge.
-
-[License](LICENSE) · [Third-party notices](THIRD_PARTY_NOTICES.md)
+---
+base_model: AlexWortega/openjev
+datasets:
+- ProtectSkills/MaliciousSkillBench
+library_name: transformers
+license: other
+license_name: skillscreen-proprietary
+license_link: LICENSE
+pipeline_tag: text-classification
+tags:
+- skillscreen
+- agent-security
+- nli
+- sbr
+---
+
+# SkillScreen-2B-SBR
+
+This model is described in the paper: [SkillScreen: High-Recall Screening of Malicious Agent Skills with Decision Models](https://huggingface.co/papers/2610.17727).
+
+2B decision model for detecting malicious agent skills from `SKILL.md`. Trained on MaliciousSkillBench using Source-Balanced Random (SBR), with an 8K input budget.
+
+Based on [OpenJev 2B](https://huggingface.co/AlexWortega/openjev). Full weights are at the root. The original LoRA adapter and classification head are in `adapter/`.
+
+## Use
+
+Requires CUDA with BF16 support.
+
+```bash
+pip install huggingface_hub
+hf download SkillScreen/SkillScreen-2B-SBR --revision v1 --local-dir skillscreen
+pip install -r skillscreen/requirements.txt
+python skillscreen/score.py path/to/SKILL.md
+```
+
+Native maliciousness score **≥ 0.5** is flagged as suspicious.
+
+[Checkpoint details](provenance.json) · [Export verification](merge_verification.json) · [Project page](https://jerroldh.github.io/SkillScreen-webpage/) · [Code](https://github.com/JerroldH/SkillScreen)
+
+Jerrold Huang, Junwei Quan, Saiyue Lyu, Zihan Guo, Yingqiang Ge.
+
+[License](LICENSE) · [Third-party notices](THIRD_PARTY_NOTICES.md)