ai-ml-security

Maintained by yaklang

AI/ML security playbook. Use when assessing model supply chain attacks (pickle RCE, poisoned weights), adversarial examples, model poisoning, model stealing, data privacy attacks (membership inference, model inversion), and autonomous agent security risks.

Security & Privacy

Current version: Unknown
License: Unknown
Network access: Unknown / not assessed
Review status: Not verified

Problem it solves

This catalog entry helps users find and evaluate ai-ml-security for the task described by its available catalog summary. Confirm the exact scope in the linked original source when one is available.

When to use it

Consider ai-ml-security when its available catalog summary matches the task at hand. When available, review the linked original source before use for precise instructions, requirements, and limitations.

ai-ml-security is listed as an agent skill in RefHub. The listed maintainer is yaklang. The available catalog summary is: AI/ML security playbook. Use when assessing model supply chain attacks (pickle RCE, poisoned weights), adversarial examples, model poisoning, model stealing, data privacy attacks (membership inference, model inversion), and autonomous agent security risks. When available, review the linked original source for exact usage instructions, required tools, and limitations.

Installation and updates

These commands are displayed for copying only and are never executed on RefHub servers. Review the linked upstream source before running them.

Install command

npx skills add yaklang/hack-skills --skill ai-ml-security -y

Agent compatibility

No compatibility test has been recorded

Do not assume agent compatibility until documented test evidence is available.