To manage security risks, treat AI agents like new employees. Provide them with their own isolated environment—separate accounts, scoped API keys, and dedicated hardware. This prevents accidental or malicious access to your personal or sensitive company data.

The ecosystem of downloadable "skills" for AI agents is a major security risk. A recent Cisco study found that many skills contain vulnerabilities or are pure malware, designed to trick users into giving the agent access to sensitive data and systems.

To use AI agents securely, avoid granting them full access to your sensitive data. Instead, create a separate, partitioned environment—like its own email or file storage account. You can then collaborate by sharing specific information on a task-by-task basis, just as you would with a new human colleague.

For AI agents requiring deep, nuanced training, the 'self-service' model is currently ineffective. These complex tools still demand significant, hands-on human expertise for successful deployment and management. Don't fall for vendors promising a cheap, self-trainable solution for sophisticated tasks.

Don't write agent skills from scratch. First, manually guide the agent through a workflow step-by-step. After a successful run, instruct the agent to review that conversation history and generate the skill from it. This provides the crucial context of what a successful outcome looks like.

Instead of building AI skills from scratch, use a 'meta-skill' designed for skill creation. This approach consolidates best practices from thousands of existing skills (e.g., from GitHub), ensuring your new skills are concise, effective, and architected correctly for any platform.

"Skills" are markdown files that provide an AI agent with an expert-level instruction manual for a specific task. By encoding best practices, do's/don'ts, and references into a skill, you create a persistent, reusable asset that elevates the AI's performance almost instantly.

To address security concerns, powerful AI agents should be provisioned like new human employees. This means running them in a sandboxed environment on a separate machine, with their own dedicated accounts, API keys, and access tokens, rather than on a personal computer.

AI 'agents' that can take actions on your computer—clicking links, copying text—create new security vulnerabilities. These tools, even from major labs, are not fully tested and can be exploited to inject malicious code or perform unauthorized actions, requiring vigilance from IT departments.