tech-leads-club / agent-skills

2026-01-19 · Source: Github Trending: All languages · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems · Depth: Intermediate, medium

Summary

Agent Skills is a secure, validated skill registry for professional AI coding agents, addressing a critical vulnerability issue where over 13% of marketplace skills contain critical vulnerabilities. This hardened library offers verified, tested, and safe capabilities to extend agents like Antigravity, Claude Code, and Cursor. It features a CLI for interactive skill installation, updates, and removal, supporting both global and local project scopes, with options for symlinking and cache management. The platform also includes an MCP server, `@tech-leads-club/agent-skills-mcp`, which provides progressive disclosure of the skills catalog to AI agents, allowing them to browse, search, and fetch specific skill instructions and reference files on demand. The project emphasizes security through open-source code, static analysis, immutable integrity, and human-curated prompts, with every skill scanned by Snyk Agent Scan before publishing.

Key takeaway

For AI Architects and Machine Learning Engineers integrating AI agents into development workflows, prioritize using validated skill registries like Agent Skills. This approach mitigates security risks associated with unverified marketplace skills, ensuring your agents operate with trusted capabilities. Utilize the CLI for streamlined skill management and consider the MCP server for dynamic, on-demand skill access within your agent environments.

Key insights

Agent Skills provides a secure, validated, and extensible library of capabilities for AI coding agents.

Principles

• Security by design for AI agent extensions
• Open source for transparency and trust
• Progressive disclosure for efficient skill access

Method

The CLI fetches, caches, and installs skills from a CDN, while an MCP server enables agents to browse, search, and load skills on demand via progressive disclosure.

In practice

• Install `tlc-spec-driven` for project planning
• Use `aws-advisor` for AWS architecture guidance
• Integrate `playwright-skill` for browser automation

Topics

• Agent Skills
• AI Coding Agents
• Skill Registry
• Security Vulnerabilities
• CLI Tooling

Code references

• tech-leads-club/agent-skills
• snyk/agent-scan
• cline/cline
• features/copilot
• opencode-ai/opencode

Best for: AI Architect, Machine Learning Engineer, NLP Engineer, AI Engineer, Software Engineer, Robotics Engineer

Related on AIssential

• Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward — Agent skills modularize LLM capabilities, extending functionality dynamically while introducing significant security challenges.
• The Agentic AI Toolkit: MCP vs. Agent Skills vs. AGENTS.md — MCP, Agent Skills, and AGENTS.md form a standardized toolkit for AI agent connectivity and behavior.
• A Primer on Using Agent Skills — Agent skills provide a modular, dynamic way to equip AI agents with specific capabilities, improving efficiency and reliability.
• NVIDIA-Verified Agent Skills Provide Capability Governance for AI Agents — NVIDIA-verified skills provide a robust framework for ensuring the transparency, security, and authenticity of AI agent capabilities through structured validation.
• SkillWiki: A Living Knowledge Infrastructure for Agent Skills — SkillWiki provides a unified infrastructure for agent skill management, from ingestion to evolution, linking skills to evidence.
• AGENTS.md, a README.md for agents. — AGENTS.md and agent skills provide structured, open formats for guiding AI coding agents in software development.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Github Trending: All languages.