{"slug":"managedcode-mlnet","source_name":"managedcode/mlnet","name":"Managedcode/Mlnet","description":"Use ML.NET to train, evaluate, or integrate machine-learning models into .NET applications with realistic data preparation, inference, and deployment expectations. USE FOR: ML.NET integration; local model training or retraining; inference pipelines, model loading, evaluation, and deployment review. DO NOT USE FOR: unrelated stacks; generic tasks that do not need this specific guidance. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation","version":1,"lift":{"pass_rate_delta_pts":4.55,"pass_rate_pct":90.9,"total_cases":22,"passed_cases":20,"tokens_delta_pct":-4.1,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-19T04:47:34.092609+00:00"},"skill_score":null,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":4.55,"with_pass_pct":90.9,"without_pass_pct":86.4,"tokens_delta_pct":-4.1,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-19T04:47:34.092609+00:00","run_id":"f175b292-2ab7-478c-b293-95c708bdbc7f","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"MIT","install_count":0,"manifest_hash":"1195521dc12f41e60502efd69045deac398259bbc2a77be579d4c14259f6b73d","raw_url":"https://app.decimal.ai/s/managedcode-mlnet/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/managedcode-mlnet"}