What autonomous Agents really lack isn't whether they can run, but whether what they run can be audited. Lehigh University's LabRAI team has open-sourced SkillCenter, with 216,000 structured skills packed into 24 domain bundles: 114,000 of them come from peer-reviewed journals, arXiv, and over 24,000 technical sources, kept through SkillGate and multi-round source-grounding, each claim can be mapped back to a precise citation of the original source; another 102,000 community skills from GitHub and ClawHub are merged in. All entries are released as SQLite FTS5 bundles, supporting offline full-text search. The most practical thing isn't the volume, but turning "why I do this" into traceable citations, handing the Agent's inventory over to ops, compliance, or even auditors to check. The entire pipeline (multi-source collection + LLM quality gate + template generation + iterative provenance + release quality control) is detailed in the paper's 44 pages, with code at github.com/LabRAI/SkillCenter and data at huggingface.co/datasets/Tommysha/skillcenter-bundles all open-sourced, ready to plug directly into existing Agent workflows.