model-security-scanning
OfficialDetects and mitigates malicious elements in AI models before deployment.
AuthorRedHatProductSecurity
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It helps ensure AI models are free from malicious components that could pose security or safety risks during inference.
Core Features & Use Cases
- Model integrity verification: Scans models for embedded malicious code and backdoors before loading.
- Format validation: Checks weight serialization formats for safety, favoring secure formats like SafeTensors.
- Scenario: Use this skill when building inference engines or deploying models to identify and exclude potentially harmful models, maintaining secure AI systems.
Quick Start
Use the model-security-scanning skill to verify the safety of your model file before deployment.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: model-security-scanning Download link: https://github.com/RedHatProductSecurity/prodsec-skills/archive/main.zip#model-security-scanning Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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