{"slug":"openmatter-network-ai-ml-methodology-evaluation","source_name":"openmatter-network/ai-ml-methodology-evaluation","name":"Openmatter Network/AI ML Methodology Evaluation","description":"Use when evaluating whether the machine-learning methodology behind a selection tool is appropriate and interpretable — Concern 4 of Tippins, Oswald & McPhail (2021). Covers ML interpretability and the \"black box,\" explainable AI (XAI), evaluation metrics (MSE, confusion matrix, ROC/AUC), the high variable-to-case ratio in big data, the difficulty of comparing ML results to traditional methods, and the I-O psychology education gap. Triggers: \"is the ML methodology appropriate\", \"black box hiring","version":1,"lift":{"pass_rate_delta_pts":18.18,"pass_rate_pct":81.8,"total_cases":22,"passed_cases":18,"tokens_delta_pct":43.6,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-03T14:14:53.933626+00:00"},"skill_score":0.8182,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":18.18,"with_pass_pct":81.8,"without_pass_pct":63.6,"tokens_delta_pct":43.6,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-03T14:14:53.933626+00:00","run_id":"e9e0d393-ad39-4892-a196-960fc4198d6b","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":"c7bfa95167b9171a56d29fc3d70601037cae2672368e5a1605a8bf1463c6dbe0","raw_url":"https://app.decimal.ai/s/openmatter-network-ai-ml-methodology-evaluation/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/openmatter-network-ai-ml-methodology-evaluation"}