What problem does it solve? Choosing which plugins, MCP servers, GitHub Marketplace actions, or AI model channels to trust is risky and confusing, especially for non-developers. This Skill provides a governed curation workflow that evaluates trust posture, matches sources to capability lanes, and gates live activation behind explicit approvals. ## Core Features & Use Cases - Trust Evaluation: Checks publisher verification, documentation quality, maintenance activity, permission scope, and rollback paths before recommending any marketplace source. - Capability Lane Routing: Routes requests into eight governed lanes (Data Engineering, Development, Design, Learning, Monitoring, Productivity, Security, Testing) instead of activating every connector at once. - Repo-Bound Governance: Binds curation work to the SEIS UIX-Apps branch contract with validation commands like npm run validate and check scripts before any publication. - Use Case: A designer wants to add a new AI tool integration. The Skill evaluates whether it should ship as an MCP server, Codex plugin, or GitHub Marketplace Action, explains the trade-offs in plain language, and blocks live installs until target, auth, approval, and rollback owner are explicit. ## Quick Start Ask the assistant to review a specific plugin or MCP server for trustworthiness and recommend which capability lane and activation gates apply before installing it.
