{"slug":"mohitagw15856-model-selection-advisor","source_name":"mohitagw15856/model-selection-advisor","name":"Mohitagw15856/Model Selection Advisor","description":"Choose the right LLM for a task by trading off quality, cost, latency, and constraints. Use when asked which model to use, whether to upgrade/downgrade a model, how to cut LLM costs without hurting quality, or to justify a model choice. Produces a recommendation with the decision criteria, a per-option comparison, a routing strategy (cheap-by-default, escalate when needed), and how to validate the choice with an eval.","version":1,"lift":{"pass_rate_delta_pts":22.73,"pass_rate_pct":59.1,"total_cases":22,"passed_cases":13,"tokens_delta_pct":11.9,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-15T08:06:40.776829+00:00"},"skill_score":null,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":22.73,"with_pass_pct":59.1,"without_pass_pct":36.4,"tokens_delta_pct":11.9,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"mixed","never_hurt":false,"completed_at":"2026-08-15T08:06:40.776829+00:00","run_id":"fb0cb4e2-55df-4ce8-ac20-50d8637855aa","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":"0f0aa6b7418d02d8ea22890a15d1fb22bfb8ac5a6c24f2a90aff6b37ab70ae19","raw_url":"https://app.decimal.ai/s/mohitagw15856-model-selection-advisor/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/mohitagw15856-model-selection-advisor"}