What problem does it solve? Setting up AI agent context for a new or existing project requires manually analyzing the tech stack, finding relevant skills, writing project documentation, and configuring MCP servers. This Skill automates that entire bootstrap process while scanning every external skill for prompt injection before it is trusted. ## Core Features & Use Cases - Project Analysis & Stack Detection: Reads package.json, composer.json, requirements.txt, go.mod, and other config files to detect languages, frameworks, and databases, then generates .ai-factory/DESCRIPTION.md and AGENTS.md. - Skill Acquisition with Security Scanning: Searches skills.sh for matching skills, installs them, and runs a two-level prompt-injection check (automated security-scan.py plus manual semantic review) before use. - MCP Server Configuration: Writes .cursor/mcp.json with runtime-specific formats for Cursor, Claude Code, OpenCode, GitHub Copilot, and Codex, covering GitHub, Postgres, Filesystem, and Playwright servers. - Use Case: You clone an existing repository and run the setup command. The Skill detects a Node.js/Prisma/PostgreSQL stack, installs relevant skills after security scanning, generates AGENTS.md and base coding rules, and configures the Postgres and GitHub MCP servers. ## Quick Start Ask the agent to set up AI context for this project by analyzing the tech stack, installing relevant skills, and configuring MCP servers.