'cloud' 검색 결과

Browse and search files on Google Cloud Filestore, read selected log lines, and inspect permissions and timestamps. Uses a Cloud Run bridge or an existing virtual machine without requiring local NFS client packages or root access.

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• Explore the folder structure of a Filestore share
• Find backup files by filename pattern
• Search remote logs for errors and read selected lines

Read existing findings, reports, recorded assignments, verification results, and scan status from a connected Codex Security Cloud account. Summarize available evidence and distinguish missing information from confirmed outcomes without changing Cloud data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Inspect a finding from its Cloud link
• List findings by severity or recorded assignee
• Review saved validation and patch check reports

Query, create, update, and delete Tencent Cloud resources through tccli, its command-line tool. The skill checks API documentation before calls, supports browser-based OAuth authorization, and helps interpret results and troubleshoot errors during cloud automation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Listing CVM instances in a specific region
• Creating a pay-as-you-go cloud server
• Checking the list of COS storage buckets

Launch a new OpenClaw, PicoClaw, or Ottie deployment through Cloud Claw using the local CLI. Configure the agent type, deployment name, model, and Telegram settings according to the supported launch options and requirements.

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• Launch a new OpenClaw deployment
• Deploy PicoClaw or Ottie for Telegram
• Choose an OpenClaw model before launch

Synchronize OmniRoute configuration, provider connections, and settings with cloud storage. Manage authentication for the cloud worker, a remote service, along with its credentials and remote backup destinations.

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• Synchronize OmniRoute settings with cloud storage
• Initialize cloud synchronization
• Update cloud worker credentials

Automate Cloudlayer operations through Rube MCP, a connection for agent tools. The skill discovers available actions, checks the service connection, and uses current input requirements to carry out requested tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find available Cloudlayer actions
• Run tasks after checking the service connection
• Process multiple operations in bulk

Generate images and videos through Atlas Cloud by checking each model’s input requirements before submission. Guides the agent through sending a request, checking progress within a time limit, and downloading and validating the resulting media.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generate an image from a text prompt with Atlas Cloud
• Generate a short video from a scene description
• Check model-specific inputs before submitting a request

Respond to security incidents across AWS, Azure, and GCP by investigating audit logs, containing compromised identities, isolating resources, and preserving evidence. Organize recovery and follow-up security measures for credential leaks, unauthorized permission changes, and attacks spanning cloud services.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Responding to leaked cloud credentials
• Investigating unauthorized permission or resource changes
• Preserving audit logs and disk snapshots

Plan and conduct authorized security tests of AWS, Azure, and GCP environments. Check access permissions, credential exposure, cross-account access, and monitoring, then organize findings into a report with severity, business impact, and remediation guidance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assessing cloud security before production deployment
• Checking access controls after a cloud migration
• Testing monitoring and incident response readiness

Review Google Cloud operations and develop guidance for monitoring, incident response, resource sizing, and automated deployments. Use framework-based questions and checklists to identify gaps in production readiness and plan ongoing operational improvements.

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• Reviewing production readiness
• Planning monitoring and logging
• Improving incident response procedures

Define reliability goals for Google Cloud services and generate Terraform files for Cloud Monitoring SLO alerts. A guided conversation gathers service scope, measurement metrics, targets, and alert conditions, then explains the PromQL queries used to evaluate them.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create availability SLO alerts for a service
• Define latency targets and measurement windows
• Configure SLO alerts for App Hub resources

Deploy and manage applications on Cloud Run using source code or container images. Choose services for web requests, jobs for tasks that finish, or worker pools for continuous background processing, with guidance on execution settings and deployment failures.

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• Deploy a web application from source code or a container
• Create and run batch jobs with parallel tasks
• Deploy continuous queue-processing workers

Turn existing PromQL or ListTimeSeries queries into Cloud Monitoring chart definitions in textproto, a text format for Protocol Buffers. Generate readable titles, axis labels, units, and plot types, then validate the resulting widget files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create chart definitions from existing monitoring queries
• Set chart titles, axis labels, and units
• Prepare widget definitions for dashboard provisioning

Automate Cloudlayer operations through Rube MCP, a connection for agent tools. The skill discovers available actions, checks the service connection, and uses current input requirements to carry out requested tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find available Cloudlayer actions
• Run tasks after checking the service connection
• Process multiple operations in bulk

Assess AWS, Azure, and GCP environments by identifying identities, permissions, and paths to broader access or data exposure. Covers cloud storage, secrets, cross-account trust, and CI/CD, the automated systems used to build and deploy software.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning an AWS, Azure, or GCP security assessment
• Tracing privilege escalation from current permissions
• Reviewing CI/CD credentials and OIDC trust settings

Choose Cloudflare services and implement applications using guidance for compute, storage, AI, networking, and security. The skill directs the agent to relevant references and current official documentation for configuration, APIs, limits, and pricing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose services for a Cloudflare application
• Select storage for databases and files
• Build AI agents and semantic search

Guides agents through a 6-step discovery process to design and deploy Google Cloud global external Application Load Balancers with Cloud CDN, Cloud Armor, and Service Extensions, mapping workload requirements to best-practice configurations. Use when: - Designing, configuring, or deploying a Google Cloud global external Application Load Balancer, Cloud CDN, Cloud Armor WAF, or Service Extensions. - Discovering existing Google Cloud resources (Cloud Storage, MIGs, GKE, Cloud Run) to use as backends. - Generating production-grade Terraform HCL or gcloud CLI scripts for global external Application Load Balancers. - Actuating deployments via Infrastructure Manager or bash scripts, including IAM pre-checks. - Detecting, analyzing, or reconciling configuration drift on deployed global external Application Load Balancers. Don't use for: - Non-Google Cloud load balancing or security configurations. - Purely regional or internal load balancing setups (unless part of a hybrid/failover global design).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Deploy cloud-native deception across AWS, Azure, and GCP using decoy (honey) resources whose only purpose is to generate a high-fidelity alert the instant an attacker touches them: canary IAM access keys, permission-less decoy users/roles/service principals, honey object-storage buckets, and decoy secrets in Secrets Manager / Key Vault / Secret Manager. Wires detection through CloudTrail + EventBridge, Azure Sentinel honeytoken watchlists + Defender, and GCP Cloud Audit Logs, so any use of a decoy is routed to the SOC with near-zero false positives. Use when protecting cloud accounts and data stores, when an org has only on-prem honeypots and needs cloud coverage, when seeding fake AWS keys to catch credential theft and code-leak exposure, or when detecting cloud reconnaissance and lateral movement. Keywords: cloud deception, canary token AWS, honey S3 bucket, decoy IAM credentials, CloudTrail alert, GuardDuty, Sentinel honeytoken, decoy secret, honey service account, cloud honeypot, breach detection.

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정적 페이지나 JavaScript로 표시되는 페이지에서 필요한 정보를 추출합니다. 여러 페이지 탐색과 Cloudflare 대응을 포함해 수집 방식을 선택하도록 돕습니다.

• 정적 페이지의 글과 링크를 추출합니다
• JavaScript로 표시되는 정보를 수집합니다
• 여러 페이지를 탐색하고 데이터를 저장합니다

Automate Cloudflare Browser Rendering operations through Rube MCP, a connection for agent tools. The skill discovers supported actions, verifies an active connection, and executes tasks using the latest tool input requirements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding available Cloudflare Browser Rendering actions
• Checking the service connection before a task
• Running multiple operations in a workflow

Investigate AWS production incidents using reusable CloudWatch log queries and metric calculations. Narrow affected resources, compare alarms with deployment events, and reconstruct a timeline to identify changes that may explain the symptoms.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate error spikes, slow responses, and memory exhaustion
• Compare alarm transitions with recent deployments
• Narrow an incident to affected services and resources

Analyze AWS CloudTrail logs against normal activity patterns to spot unusual API calls, IP addresses, errors, and sensitive changes. Produce a JSON report with anomaly scores, suspicious users, and suggested investigation steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating possible misuse of AWS credentials
• Finding first-time API calls and unusual IP activity
• Reviewing IAM, KMS, and S3 policy changes

Creates Terraform configuration for Google Cloud Monitoring notification channels, including email, Slack, and Pub/Sub, and attaches channels to existing alert policies. It also checks Pub/Sub topic compatibility and publishing permissions when inspecting the cloud environment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Configuring email or Slack alert notifications
• Adding notification channels to existing alert policies
• Checking Pub/Sub topic compatibility and publishing permissions

Design a shared data platform across Google Cloud, AWS, and Azure for analytics and AI. The skill turns requirements into architecture diagrams, infrastructure code, deployment instructions, and validation checks using Apache Iceberg and BigQuery data agents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a data platform across multiple clouds
• Planning data ingestion and AI serving components
• Preparing infrastructure code and deployment instructions