What problem does it solve? Creating well-structured Agent Skills that follow the Agent Skills specification is error-prone: frontmatter validation, naming rules, directory layout, and prompt-injection risks are easy to get wrong. This Skill automates the full lifecycle of skill creation, validation, and security scanning. ## Core Features & Use Cases - Skill Generation: Interactively creates complete skill packages (SKILL.md, references, scripts, templates) that conform to the Agent Skills open standard. - Learn Mode: Fetches and studies documentation URLs, then synthesizes the knowledge into a new skill with source attribution. - Two-Level Security Scanning: Combines a regex/static-analysis Python scanner with LLM semantic review to detect prompt injection, data exfiltration, and destructive commands before installing external skills. - Validation Mode: Checks structure, frontmatter YAML, naming conventions, and security in a single combined report. - Use Case: You found a community skill on skills.sh and want to install it. Run the scan command to verify it contains no malicious instructions, then install it only if both security levels pass. ## Quick Start Ask the agent to generate a new skill named 'api-conventions' that documents your team's REST API design guidelines.