Research and guides from the team behind the Agent Skills Guard™ standard.
Weaviate announced Agent Skills on February 20, 2026. This guide explains what the launch means, how to evaluate impact fast, and what to do this week.
Step-by-step guide to building your first AI agent skill from scratch. Learn the fundamentals, best practices, and deploy your skill in under 30 minutes.
Discover the best Model Context Protocol (MCP) servers to supercharge your Claude AI agent. From filesystem access to database integration, we rank the top tools.
Confused about Agent Skills and MCP Servers? Learn the key differences, when to use each, and how they work together to build powerful AI agents.
Learn the essential security principles for building safe AI agent skills. From input validation to secret management, protect your users and systems.
New to Claude agent skills? This beginner-friendly guide covers everything from installation to your first skill, with real examples and troubleshooting tips.
These convenience Python shortcuts can become production backdoors in agent workflows. We break down why scanners flag them as Grade F and how to replace each pattern safely.
This case study breaks down a realistic helper-skill attack chain, from trust-building UX to secret exfiltration, with concrete controls teams can deploy before rollout.
Step-by-step fix for the exact command npx neonctl@latest init. Set up Neon CLI + MCP workflow with validation, rollback, and secure defaults.
A practical implementation guide for teams searching "sync data from trino to webflow". Includes architecture, batching, retries, and secure token handling.
Complete answer for "sync data from singlestore to webflow" with incremental sync design, schema mapping, error handling, and deployment-safe checks.
Most AI security content is either too theoretical for builders or too shallow to support real decisions. This blog sits in the middle. We translate technical risk into practical guidance that teams can execute during daily development work. Articles are written for people shipping products under deadlines, where tradeoffs matter and absolute rules rarely apply.
Every post aims to answer three questions clearly: what risk pattern is happening, why it matters in production, and what low-friction mitigation can be implemented this week. We avoid alarmist language and focus on reproducible evidence. Where possible, we include concrete failure scenarios and mitigation checklists so readers can adapt them to their own stack.
We prioritize original analysis over rewrites of trending headlines. Sources are cited, terminology is normalized, and claims are reviewed against current ecosystem behavior before publication. If a recommendation changes because tools evolve, we update the article and record the revision rather than silently replacing old guidance. This keeps the archive trustworthy for returning readers.
In addition to security findings, we cover implementation patterns, review workflows, and policy design that help engineering and operations teams collaborate effectively. Good security outcomes depend on process quality as much as code quality. Clear ownership, review cadence, and incident communication are recurring topics because they influence risk more than any single tool choice.
Read the summary first, then map recommendations to your own environment in stages. Start with low-effort controls that reduce high-impact risk, measure results, and expand gradually. If your team uses stricter compliance rules, treat each article as a planning template and integrate the checks into your existing pipeline. This method keeps content actionable and avoids one-size-fits-all advice.