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building-vulnerability-exception-tracking-system

2
mukul975mukul975

Build a vulnerability exception and risk acceptance tracking system with approval workflows, compensating controls documentation, and expiration management.

vulnerability-exceptionrisk-acceptancecompensating-controls+3
195 days ago

performing-ot-vulnerability-assessment-with-claroty

2
mukul975mukul975

This skill covers performing vulnerability assessments in OT environments using the Claroty xDome platform for comprehensive asset discovery, risk scoring, vulnerability correlation, and remediation prioritization. It addresses passive vulnerability identification through traffic analysis, active safe querying of OT devices, integration with CVE databases and ICS-CERT advisories, and risk-based prioritization that accounts for operational impact and compensating controls.

ot-securityicsscada+4
195 days ago

implementing-patch-management-for-ot-systems

2
mukul975mukul975

This skill covers implementing a structured patch management program for OT/ICS environments where traditional IT patching approaches can cause process disruption or safety hazards. It addresses vendor compatibility testing, risk-based patch prioritization, staged deployment through test environments, maintenance window coordination, rollback procedures, and compensating controls when patches cannot be applied due to operational constraints or vendor restrictions.

ot-securityicsscada+4
195 days ago

FAQ

AgentCC is a discovery hub for AI agent capabilities. We index Agent Skills as the primary dataset, and also organize MCP servers and selected AI tools so developers can quickly find, compare, and evaluate what to integrate into their workflows.
An Agent Skill is a reusable capability package for an AI agent. It can define workflows, tool usage patterns, domain knowledge, or execution rules that help the agent perform more reliably in a specific task or environment.
AgentCC is a resource and discovery layer, not a one-click installer. On each skill page, you should review the repository, file tree, install command, and usage notes, then integrate it according to the runtime or client you are using.
No. AgentCC primarily indexes external repositories and metadata. We help you understand what a skill is, where it comes from, and how it may be used, but execution and security decisions still belong to your own runtime environment.
No directory can guarantee absolute safety. AgentCC can help surface repository links, file structures, and metadata, but you should still verify permissions, external dependencies, API usage, and code quality before using a skill in production or on sensitive machines.
Yes. AgentCC is designed to be an evolving resource graph. As the submission and curation workflow matures, contributors will be able to recommend high-quality skills, MCP servers, and AI tools into the directory.
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