Linting AI Agent Skills

Static Application Security Testing (SAST) for code vulnerability

Automatic quality control, linting, and static analysis procedures. Use after every code modification to ensure syntax correctness and project standards. Triggers onKeywords: lint, format, check, validate, types, static analysis.

Ce projet s'appel Portfolio2

A Model Context Protocol (MCP) server implementation that provides access to various storage services via Apache OpenDAL™. - Seamless access to multiple storage services including S3, Azure Blob Storage, Google Cloud Storage, and more - List files and directories from storage services - Read file contents with automatic text/binary detection - Environment variable based configuration Add the follo

Media Gen MCP is a strict TypeScript Model Context Protocol (MCP) server for OpenAI Images (gpt-image-1.5, gpt-image-1), OpenAI Videos (Sora), and Google GenAI Videos (Veo): generate/edit images, create/remix video jobs, and fetch media from URLs or disk with smart resourcelink vs inline image outputs and optional sharp processing. Production-focused (full strict typecheck, ESLint + Vitest CI). Wo

Lint any URL for LLM readiness. Get a 0-100 score for token efficiency, RAG readiness, agent compatibility, and LLM extraction quality. Context CLI is an LLM Readiness Linter that checks how well a URL is structured for AI consumption. As LLM-powered search engines, RAG pipelines, and AI agents become primary consumers of web content, your pages need to be optimized for token efficiency, structure

A portable, single-binary system auditing tool for Linux. Like Lynis but faster and smarter. No configuration needed. No dependencies. Just run. - 🔒 Security: Firewall, SSH hardening, SSL/TLS, fail2ban, SUID binaries, open ports - 🚀 Services: Systemd services, web servers, databases, Docker - 💻 Resources: CPU, RAM, disk usage, top processes - 💾 Storage: SMART health, inode usage, filesystem er