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Analyzes network traffic captures and flow data to identify adversary activity during security incidents, including command-and-control communications, lateral movement, data exfiltration, and exploitation attempts. Uses Wireshark, Zeek, and NetFlow analysis techniques. Activates for requests involving network traffic analysis, packet capture investigation, PCAP analysis, network forensics, C2 traffic detection, or exfiltration detection.

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Enforce Kubernetes network segmentation using Calico CNI network policies and global network policies to control pod-to-pod traffic, restrict egress, and implement zero-trust microsegmentation.

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Deploys and configures Zeek (formerly Bro) network security monitor to passively analyze network traffic, generate structured logs, detect anomalous behavior, and create custom detection scripts for threat hunting and incident response.

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Analyzes network traffic generated by malware during sandbox execution or live incident response to identify C2 protocols, data exfiltration channels, payload downloads, and lateral movement patterns using Wireshark, Zeek, and Suricata. Activates for requests involving malware network analysis, C2 traffic decoding, malware PCAP analysis, or network-based malware detection.

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Analyzes network traffic captures and flow data to identify adversary activity during security incidents, including command-and-control communications, lateral movement, data exfiltration, and exploitation attempts. Uses Wireshark, Zeek, and NetFlow analysis techniques. Activates for requests involving network traffic analysis, packet capture investigation, PCAP analysis, network forensics, C2 traffic detection, or exfiltration detection.

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Compare gene co-expression and regulatory networks between biological conditions to find rewired relationships using DiffCorr, DiffCoEx, DINGO/iDINGO, and CoDiNA. Covers the differential-connectivity-is-not-differential-expression distinction, the pairwise multiple-testing explosion, marginal vs partial (direct) rewiring, and the underpowered-rewiring failure mode. Use when comparing co-expression networks between disease vs control, treatment, or developmental stages, or finding hub genes that rewire without changing mean expression. For single-condition modules see coexpression-networks; for differential expression of means see differential-expression/de-results.

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Compare gene co-expression and regulatory networks between biological conditions to find rewired relationships using DiffCorr, DiffCoEx, DINGO/iDINGO, and CoDiNA. Covers the differential-connectivity-is-not-differential-expression distinction, the pairwise multiple-testing explosion, marginal vs partial (direct) rewiring, and the underpowered-rewiring failure mode. Use when comparing co-expression networks between disease vs control, treatment, or developmental stages, or finding hub genes that rewire without changing mean expression. For single-condition modules see coexpression-networks; for differential expression of means see differential-expression/de-results.

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Agent fallback for CEngineServer_GetPlayerNetworkIDString-noinline (auto-generated, category: func). Locate CEngineServer_GetPlayerNetworkIDString in the CS2 engine module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CEngineServer_GetPlayerNetworkIDString-noinline, CEngineServer_GetPlayerNetworkIDString

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Agent fallback for CEngineServer_GetPlayerNetworkIDString-inlined (auto-generated, category: func). Locate CEngineServer_GetPlayerNetworkIDString in the CS2 engine module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CEngineServer_GetPlayerNetworkIDString-inlined, CEngineServer_GetPlayerNetworkIDString

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Agent fallback for CBaseEntity_NetworkStateChangedLog (auto-generated, category: vfunc). Locate CBaseEntity::NetworkStateChangedLog in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBaseEntity_NetworkStateChangedLog, CBaseEntity::NetworkStateChangedLog

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Agent fallback for CBaseEntity_m_NetworkTransmitComponent (auto-generated, category: structmember). Locate CBaseEntity::m_NetworkTransmitComponent in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBaseEntity_m_NetworkTransmitComponent, CBaseEntity::m_NetworkTransmitComponent

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Agent fallback for CBaseEntity_NetworkStateChanged-noinline (auto-generated, category: vfunc). Locate CBaseEntity::NetworkStateChanged in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBaseEntity_NetworkStateChanged-noinline, CBaseEntity::NetworkStateChanged

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Agent fallback for CBaseEntity_NetworkStateChanged-inlined (auto-generated, category: vfunc). Locate CBaseEntity::NetworkStateChanged in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBaseEntity_NetworkStateChanged-inlined, CBaseEntity::NetworkStateChanged

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Deploys and configures Zeek (formerly Bro) network security monitor to passively analyze network traffic, generate structured logs, detect anomalous behavior, and create custom detection scripts for threat hunting and incident response.

中文简介正在准备中。当前显示原文说明。

Analyzes network traffic generated by malware during sandbox execution or live incident response to identify C2 protocols, data exfiltration channels, payload downloads, and lateral movement patterns using Wireshark, Zeek, and Suricata. Activates for requests involving malware network analysis, C2 traffic decoding, malware PCAP analysis, or network-based malware detection.

中文简介正在准备中。当前显示原文说明。

Analyzes network traffic captures and flow data to identify adversary activity during security incidents, including command-and-control communications, lateral movement, data exfiltration, and exploitation attempts. Uses Wireshark, Zeek, and NetFlow analysis techniques. Activates for requests involving network traffic analysis, packet capture investigation, PCAP analysis, network forensics, C2 traffic detection, or exfiltration detection.

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帮助配置WireGuard服务器、生成各设备密钥、设置通信路由并排查连接故障，让外出的手机或笔记本电脑能够连接家庭网络。

• 在外访问家中的NAS
• 搭建WireGuard服务器
• 选择通过VPN的流量

Plan, train, evaluate, and deploy neural networks using Flow Nexus cloud infrastructure. Coordinate training across multiple computing environments, tune training settings, and manage model versions, predictions, and ongoing performance monitoring.

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• Designing models for classification or time series
• Coordinating training across cloud environments
• Comparing model performance and tuning training

Set up Muse’s built-in Tailscale connector, join a private Tailscale or Headscale network, and check connection status. Use a TCP tunnel proxy to reach private machines and consult documentation about routing capabilities and supported limits.

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• Set up the built-in Tailscale connector in Muse
• Join a Tailscale or Headscale network
• Check status and access private machines

Design and configure an AWS VPC, a private cloud network, with separate public, application, and database subnets. Covers traffic routing, access rules, private service connections, and troubleshooting connectivity between resources.

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• Build separate networks for production and development
• Separate public, application, and database resources
• Connect VPCs or access AWS services privately

Analyze Zeek network logs to find lateral movement, when an intruder spreads between internal computers. Examine administrative file sharing, authentication across multiple hosts, and remote service operations to identify suspicious connections and reconstruct incident timelines.

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• Tracing spread to other computers after an initial compromise
• Investigating unauthorized transfers to administrative shares
• Finding one account authenticating to many internal hosts

Design and validate rules that limit communication between servers and containers to necessary connections. The skill covers traffic mapping, label-based policies, staged enforcement, and checks for unauthorized movement between systems within a zero trust architecture.

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• Planning communication rules for a zero trust network
• Separating production and development environments
• Restricting access to critical applications

Simulate man-in-the-middle attacks, where traffic is intercepted between communicating systems, in authorized environments. Use Bettercap, Ettercap, and mitmproxy to test encryption enforcement, certificate validation, and network detection, then document findings and recommendations.

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• Testing HTTPS enforcement and certificate validation
• Checking detection of network spoofing
• Demonstrating the risks of unencrypted traffic

Build normal traffic profiles for industrial control networks and identify unusual connections, polling intervals, and protocol operations. Use machine learning and process records to investigate deviations and produce anomaly reports with severity levels.

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• Establishing normal traffic profiles for industrial networks
• Detecting unusual connections and polling intervals
• Investigating Nozomi Guardian or Dragos alerts