Enkrypt AI Launches Skill Sentinel to Secure AI Coding Assistant Skills

Enkrypt AI introduces open-source protection for the AI development supply chain, securing coding assistant Skills against hidden and executable threats.

Enkrypt AI announced the launch of Skill Sentinel, an open-source security scanner designed to detect malicious code and hidden threats in AI coding assistant Skills used by Cursor, Claude Code, and other AI development tools.

AI coding assistants boost productivity, but Skills introduce executable risk. Without scanning, teams risk credential theft or remote code execution.”

— Sahil Agarwal, CEO, Enkrypt AI

As AI coding assistants gain adoption across enterprise development teams, a new attack vector has emerged: Skills. These packaged instruction sets teach agents team-specific workflows and are automatically executed when developers clone repositories. While Skills dramatically improve productivity, they also introduce security risks that traditional code scanners are not designed to catch.

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Skill Sentinel was created to address this emerging threat and to make AI coding assistant security accessible to development teams worldwide.

##Protecting the New AI Development Supply Chain

Skill Sentinel is designed as an open resource for the global developer community.

By offering the scanner free and open source, Enkrypt AI aims to:

– Detect prompt injection, command injection, and credential theft in Skills
– Identify malicious instructions hidden deep in documentation files
– Scan binary files for known malware before Skills are installed
– Correlate threats across multiple files to catch sophisticated attacks
– Enable bulk scanning of entire Skill directories

As AI coding assistants increasingly power enterprise development workflows, secure-by-default practices must become standard — not an afterthought.

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