Yes. A downloaded AI skill can contain hidden instructions that prompt an AI workflow to misuse information or send it elsewhere. In a demonstration described in a TechInformed interview, Michael Burch showed a customer-service skill that covertly captured customer details and sent them to another address. That example shows a possible risk; it does not establish how common malicious skills are.
How can an AI skill create a security risk?
An AI skill is a reusable package of instructions. What it can do depends not only on its stated purpose but also on the instructions it contains and the actions the surrounding AI workflow permits. A skill used in a customer-service workflow, for example, may have access to customer details. Hidden directions could tell the workflow to collect those details and transmit them to an external address.
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Burch, Security Journey’s vice president of AI enablement and acceleration and a senior enlisted cyber network defender for the North Carolina National Guard, described that scenario as a demonstration in his interview with TechInformed. He said: “You wouldn’t know it was even capable of doing that unless you understood what it was allowed to do, and most people just don’t.” The interview was edited for length and clarity.
What the warning does—and does not—establish
The demonstration is a concrete example of how a skill could be abused, not evidence that downloaded AI skills are generally malicious or that a breach occurred. The interview provides no independently published prevalence figure, forensic report, or representative survey on malicious skills.
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Burch mentions a group of about 300 people who share stories and advice. That is his description of the group, not a count of incidents or a measure of how often malicious skills are found.
How to review a skill before activating it
Burch recommends asking an AI system to explain everything a skill does and flag risky behavior before activation. Treat that as a review aid, not a guarantee: the interview does not establish that an AI explanation will reliably find every harmful instruction.
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- Check the skill’s actions against its stated purpose. Look for instructions that collect, transform, or transmit data unrelated to the task the skill claims to perform.
- Pay attention to data access. Consider what customer, business, or personal information the workflow can see, and whether the skill needs that access.
- Look for external destinations. Inspect for directions to send information to another address or service, especially when that transfer is not necessary for the skill’s stated function.
- Constrain actions where possible. Prefer workflows in which a person can inspect and limit what the AI is allowed to access or send.
These checks are practical ways to apply Burch’s advice and example; they are not a tested detection method or product certification.
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Burch argues that organizations should pair AI upskilling with security education for employees who use AI tools. People need to understand what a workflow can access and do, and to recognize when a skill’s instructions or requested actions deserve scrutiny. As he put it: “First, we have to recognize it’s a problem.”
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He also argues that organizations should measure what changes after adopting AI instead of assuming that purchasing access creates value. That is a separate but related discipline: adoption should be assessed by its actual effects, while security education helps employees use AI workflows with greater awareness.
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