Wrap model description for readability

README.md

@@ -1,46 +1,47 @@
----
-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
-- experimental
----
-
-# SkillScreen-2B-Package-Experimental
-
-Experimental 2B decision model for `SKILL.md` **and related file contents**. Trained on the recovered SRC010 package cohort with a 32K 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-Package-Experimental --revision v1 --local-dir skillscreen
-pip install -r skillscreen/requirements.txt
-python skillscreen/score.py path/to/package.json
-```
-
-Native maliciousness score **≥ 0.5** is flagged as suspicious.
-
-`package.json` contains Markdown and companion file text.
-
-```json
-{"skill_text": "Contents of SKILL.md", "files": [{"path": "scripts/helper.py", "text": "File contents"}]}
-```
-
-[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)
+---
+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
+- experimental
+---
+
+# SkillScreen-2B-Package-Experimental
+
+Experimental 2B decision model for `SKILL.md` **and related file contents**.
+Trained on the recovered SRC010 package cohort with a 32K 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-Package-Experimental --revision v1 --local-dir skillscreen
+pip install -r skillscreen/requirements.txt
+python skillscreen/score.py path/to/package.json
+```
+
+Native maliciousness score **≥ 0.5** is flagged as suspicious.
+
+`package.json` contains Markdown and companion file text.
+
+```json
+{"skill_text": "Contents of SKILL.md", "files": [{"path": "scripts/helper.py", "text": "File contents"}]}
+```
+
+[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)