Upload plugins/mlintern/.codex-plugin/plugin.json with huggingface_hub

plugins/mlintern/.codex-plugin/plugin.json

@@ -0,0 +1,30 @@
+{
+  "name": "ml-intern",
+  "version": "0.1.0",
+  "description": "Hugging Face ML Intern for Codex — research ML papers, inspect models and datasets, run training and evaluation jobs, and ship ML artifacts.",
+  "author": {
+    "name": "Hugging Face",
+    "email": "agents@huggingface.co",
+    "url": "https://github.com/huggingface"
+  },
+  "homepage": "https://huggingface.co/docs/hub/agents-skills",
+  "repository": "https://github.com/razvan/ml-intern-codex-plugin",
+  "license": "Apache-2.0",
+  "keywords": ["huggingface", "ml", "machine-learning", "training", "fine-tuning", "evaluation", "datasets", "models"],
+  "skills": "./skills/",
+  "interface": {
+    "displayName": "ML Intern",
+    "shortDescription": "Hugging Face ML engineering agent for Codex",
+    "longDescription": "ML Intern is an autonomous ML engineering agent for the Hugging Face ecosystem. It researches papers, validates datasets and models, writes training/evaluation code, runs HF Jobs, and ships ML artifacts with zero avoidable errors.",
+    "developerName": "Hugging Face",
+    "category": "Coding",
+    "capabilities": ["Interactive", "Read", "Write"],
+    "websiteURL": "https://huggingface.co",
+    "defaultPrompt": [
+      "Fine-tune a language model on a custom dataset using Hugging Face Jobs",
+      "Find the best open-source embedding model and benchmark it",
+      "Research papers on preference optimization and implement DPO training"
+    ],
+    "brandColor": "#FF6B00"
+  }
+}