{"slug":"openmatter-network-ai-claims-and-stakeholder-audit","source_name":"openmatter-network/ai-claims-and-stakeholder-audit","name":"Openmatter Network/AI Claims And Stakeholder Audit","description":"Use when auditing how an AI/ML personnel assessment is described and how it affects people — Components 7-9 (information & perceptions) of the Landers & Behrend (2023) framework. Covers first-party developer claims (do they honestly and transparently follow from the audit evidence?), second-party effects on those assessed (candidate reactions, justice, false positives vs. false negatives, what is communicated), and third-party understanding (employment-law experts, regulators, community, public)","version":1,"lift":{"pass_rate_delta_pts":47.83,"pass_rate_pct":100,"total_cases":23,"passed_cases":23,"tokens_delta_pct":47.5,"turns_delta_pct":0,"verdict":"pass","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-03T14:10:31.028799+00:00"},"skill_score":1,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":47.83,"with_pass_pct":100,"without_pass_pct":52.2,"tokens_delta_pct":47.5,"turns_delta_pct":0,"total_cases":23,"cases_aggregated":23,"verdict":"pass","never_hurt":true,"completed_at":"2026-08-03T14:10:31.028799+00:00","run_id":"cdddd11b-f9f2-460f-a61e-a37ccedba92c","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":"3da731a93ae3c0d91247e32b8b8fba6c046ec4dff3b933d186bd8065d27c9ae0","raw_url":"https://app.decimal.ai/s/openmatter-network-ai-claims-and-stakeholder-audit/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/openmatter-network-ai-claims-and-stakeholder-audit"}