Results for “telemetry”

Azure Monitor OpenTelemetry Distro for Python. Use for one-line Application Insights setup with auto-instrumentation.

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Azure Monitor OpenTelemetry Distro for Python. Use for one-line Application Insights setup with auto-instrumentation.

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Design and implement observability and SRE controls including SLO/SLI, OpenTelemetry instrumentation, alerting, dashboards, and incident readiness. Use when tasks involve telemetry coverage, operational reliability metrics, incident response, or runbook quality.

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LoRaWAN and sub-GHz (433 / 868 / 915 MHz) attack methodology — LoRaWAN ABP/OTAA join attack, network/session key reuse, frame counter replay, downlink injection on TTN/Helium-style networks, sub-GHz protocol replay (KeeLoq garage doors, fixed-code remotes, TPMS spoofing, smart plug telemetry), HackRF / RTL-SDR / Flipper Zero workflows, signal analysis with Inspectrum / Universal Radio Hacker, and reconstruction of proprietary packet formats. Use for LoRaWAN deployments (smart cities, asset tracking, industrial telemetry), or any wireless device using the unlicensed 433/868/915 MHz bands (garage openers, doorbells, IoT sensors, RC equipment).

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Check whether Nasiko CLI is installed, preview installation of a fixed, verified version, and remove an ECC-managed installation. The workflow uses ECC commands, requires consent for installation, and checks ownership before removal.

• Checking whether Nasiko CLI is installed
• Previewing installation of a verified version
• Removing an ECC-managed CLI installation

Review OmniRoute audit logs and request history from the command line. Filter records by actor, action, or time, manage access rules, and export logs or compare operational data for compliance reviews.

• Investigate audit events for a user and time range
• Export records for a compliance review
• Create and evaluate access rules

Detect and classify unusual readings from Cognitum Seed devices, including spikes, flatlines, and drift. Review anomaly scores, recommend quarantine for scores above 0.9, and save detected patterns for future reference.

• Investigating unusual device readings
• Checking health before advancing a firmware canary
• Triaging health alerts across a device fleet

Export recorded AI usage costs and budgets as Prometheus metrics or JSON. Feed external dashboards with totals, model tier breakdowns, session costs, and budget utilization, or send the same data to a webhook endpoint.

• Refreshing cost metrics for Grafana or Prometheus
• Sending a one-time cost report to a webhook
• Providing budget utilization data for monitoring

Guide HyperFrames video projects from setup through layout checks, editable previews, and video output. Covers command-line workflows, environment troubleshooting, and distributed rendering on AWS Lambda, which splits video rendering work across cloud functions.

• Setting up a HyperFrames video project
• Checking text overflow and scene display
• Exporting a video after reviewing it in Studio

Guide HyperFrames video projects from setup and component selection through checks, previews, and rendering. Use command-line tools to inspect timelines, diagnose failures, compare frames, and choose local, batch, or cloud rendering for the finished composition.

• Set up and preview a HyperFrames video project
• Diagnose build or rendering failures
• Render multiple videos from variable data

Plan game development workflows by matching engines, art and audio tools, automated playtests, packaging, publishing, and analytics to available tools and credentials. Compare options by cost, quality requirements, and offline availability.

• Plan a small Godot game for a game jam
• Combine AI-generated art with a simple game loop
• Choose tools for automated agent playtesting

Design layered protections for AI agents against malicious instructions, tool misuse, and data leakage. Provides guidance and code examples for input checks, isolated tool execution, permission limits, and audit logging to help review and strengthen agent security.

• Review defenses against malicious instructions
• Isolate tool execution and restrict permissions
• Assess data leakage risks between tenants

Assess an Azure resource using logs and performance measurements, investigate failures and their impact, and produce a prioritized remediation plan with concrete steps, validation procedures, rollback options, and monitoring recommendations.

• Investigating Azure service failures
• Finding causes of slow responses
• Prioritizing fixes by operational impact

Plan and implement connections between Arduino devices and Azure IoT Hub, directly or through an IoT Edge gateway. Define sensor messages, device credentials, offline buffering, remote commands, and implementation tasks for firmware, gateways, and cloud services.

• Connect Arduino sensors to Azure
• Design a local gateway for field devices
• Buffer sensor data during network outages

Investigate process hollowing, where malicious code replaces a legitimate process in memory. Compare memory with disk files, examine process relationships, and correlate network activity to document suspicious processes and guide containment.

• Investigating process injection alerts from EDR
• Examining suspicious behavior in legitimate Windows processes
• Finding threats that run in memory

Investigate Windows credential theft by correlating endpoint monitoring data, Sysmon events, and security logs. The skill provides detection queries and a reporting format to identify suspicious access and assess which credentials may be compromised.

• Investigating alerts about suspicious LSASS access
• Hunting for credential theft across Windows systems
• Assessing the scope of potentially compromised credentials

Investigate service account misuse by examining unexpected interactive logons, privilege changes, and movement between systems. Correlate endpoint and security logs, distinguish suspicious activity from legitimate operations, and document evidence, risk, and recommended responses.

• Investigating unexpected interactive logons by service accounts
• Checking service account access outside its assigned scope
• Tracing suspicious movement between systems after hours

Detect attacks that misuse legitimate Windows utilities such as certutil and mshta. Analyze process logs, command arguments, and parent-child relationships with Sigma detection rules, then report suspicious events with severity scores and supporting event details.

• Investigating suspicious use of built-in Windows utilities
• Creating Sigma rules for unusual command arguments
• Finding Office apps that launch unexpected system utilities

Investigate suspicious PowerShell activity using endpoint monitoring data and security logs. Examine encoded commands, downloads, and attempts to evade inspection, then document evidence, affected systems, risk, and recommended response actions.

• Hunting for suspicious PowerShell execution
• Investigating endpoint and security log alerts
• Assessing the scope of a PowerShell-related incident

Deploy decoy credentials, documents, and URLs with Canarytokens to detect suspicious access. Guides token generation, placement, alert testing, and inventory tracking, with email or webhook notifications when someone interacts with a planted token.

• Add intrusion alerts to shared folders
• Detect use of decoy cloud credentials
• Monitor decoy documents for signs of data theft

Deploy CrowdStrike Falcon sensors across Windows, macOS, and Linux endpoints. Configure threat prevention and response policies, verify installation and detection, troubleshoot sensor issues, and connect events to SIEM platforms, which collect security logs for analysis.

• Deploying Falcon sensors across enterprise endpoints
• Configuring prevention and response policies by endpoint group
• Checking sensor connectivity and test detections

Design LLM applications using patterns for answers grounded in documents, agents that use tools, and prompt testing. Implementation examples also cover monitoring response quality, latency, costs, and failures during operation.

• Building an assistant that answers from internal documents
• Choosing an architecture for an agent that uses tools
• Comparing and versioning prompts

Investigate hidden attacker activity using focused hypotheses, indicators of compromise such as malicious domains, and statistical checks on logs. Rank investigation priorities, generate indicator sweep targets, and flag unusual behavior for human review.

• Prioritizing threat-hunting hypotheses
• Generating log sweep targets from compromise indicators
• Finding unusual activity against historical baselines

Guide changes to cmux CLI and socket commands with rules for thread use, app focus, and remote relay authorization. It helps keep frequent status updates off the main thread and preserve focus during background automation.

• Review thread handling for new socket commands
• Keep automated operations from stealing app focus
• Check focus behavior when opening panes or workspaces