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AIMDS

76
ruvnetruvnet

AI Manipulation Defense System implementation with Midstream, AgentDB, and lean-agentic

securityai-defenserust+3
190 days ago

vllm-slack-summary

17
opendatahub-ioopendatahub-io

Generate slack summaries of vLLM CI SIG Slack channel activity for the RHAIIS midstream release team

189 days ago

performing-oil-gas-cybersecurity-assessment

2
mukul975mukul975

This skill covers conducting cybersecurity assessments specific to oil and gas facilities including upstream (exploration/production), midstream (pipeline/transport), and downstream (refining/distribution) operations. It addresses SCADA systems controlling pipeline operations, DCS for refinery process control, safety instrumented systems for hazardous processes, remote terminal units at unmanned wellhead sites, and compliance with API 1164, TSA Pipeline Security Directives, IEC 62443, and NIST Cybersecurity Framework for critical infrastructure.

ot-securityicsscada+5
189 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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midstream

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