AgentConfig Studio uses automated validator to check AI agent config kits before release

AgentConfig Studio has built a validation harness that checks all 12 of its AI agent configuration kits before release, verifying required files, line budgets, frontmatter syntax, and placeholder text. The validator runs structured checks on files such as AGENTS.md, CLAUDE.md, and Cursor .mdc files to ensure they meet baseline formatting and completeness standards. It outputs human-readable results by default and supports JSON output for CI pipelines, with exit codes signaling pass or fail. However, the team openly acknowledges what the tool cannot do: it does not evaluate whether the advice inside the configs is sound, check for semantic contradictions, or confirm that glob patterns will fire correctly in real repositories. The validator and a free MIT-licensed sample kit are both publicly available, with the full suite of 12 kits sold via Gumroad.