'sca' 검색 결과

Set up CodeQL security scanning in GitHub Actions or with the local CLI. Get guidance on language settings, build steps, analysis rules, result uploads, and troubleshooting so you can configure scans and interpret their findings.

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• Adding security scans to GitHub Actions
• Running local scans with the CodeQL CLI
• Investigating failed builds or result uploads

Deploy and operate Falco to monitor running containers in Kubernetes or Docker. Choose a driver, validate detection rules, confirm alerts for suspicious activity, and forward those alerts to a central security monitoring system.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Installing Falco on a Kubernetes cluster
• Choosing a driver for the Linux environment
• Checking alerts for suspicious container activity

Analyze malicious JavaScript from phishing pages, payment data theft scripts, and malware downloaders. Unwrap encoded strings and nested execution layers to reveal hidden behavior, identify stolen data fields, and document suspicious destinations for incident response.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Analyzing obfuscated scripts on phishing pages
• Investigating payment data theft on checkout pages
• Examining JavaScript that downloads further malware

Design a security operations center escalation matrix that defines incident priorities, response deadlines, analyst responsibilities, and notification paths. Use business impact, asset importance, and data sensitivity to decide when incidents need senior or management attention.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Defining incident priorities and response deadlines
• Clarifying handoffs between analyst tiers
• Setting escalation rules for overdue incidents

Build a recurring vulnerability scanning process with Nessus, Qualys, or OpenVAS. Prioritize findings using asset importance and known exploitation, then organize remediation deadlines, monitoring dashboards, and automatic tickets for urgent issues.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Establish recurring infrastructure vulnerability scans
• Prioritize fixes using asset importance and exploitation data
• Track remediation deadlines and overdue findings

Build a central vulnerability dashboard with DefectDojo to combine scanner findings, remove duplicates, and track remediation. Includes Docker deployment, automated scan imports from CI/CD pipelines, Jira ticket integration, and API queries for reporting metrics.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Combining findings from multiple security scanners
• Importing scan results automatically from CI/CD pipelines
• Connecting vulnerability findings to Jira tickets

Analyze single-cell data with scvi-tools, using deep learning to combine datasets, correct differences between experiments, and transfer cell labels. Model guides and reusable scripts cover RNA, protein, chromatin accessibility, spatial data, and downstream analysis.

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• Integrate single-cell RNA datasets and correct batch effects
• Analyze paired RNA and protein or RNA and ATAC measurements
• Transfer cell-type labels from reference data

Check whether furniture occupies an available measured floor area in Pascal, including rotation, overlap, and required spacing. Receive a spatial report that separates verified floor fit from unverified height, door movement, and delivery conditions.

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• Checking a sofa against measured room dimensions
• Comparing furniture placement at different rotations
• Checking overlap and required walking space

Review Windows privilege escalation paths from a standard user session to Administrator or SYSTEM. Examine service permissions, token privileges, library loading, scheduled tasks, and stored credentials, with detection indicators for defensive validation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating privilege escalation in authorized Windows assessments
• Reviewing service and scheduled task permissions
• Checking detection coverage with attack and defense teams

Assess Docker, containerd, and Podman environments for weaknesses that could expose the host system. The skill organizes checks for excessive permissions, exposed runtime sockets, and known vulnerabilities, alongside indicators defenders can monitor.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assessing container isolation
• Reviewing permissions and exposed runtime sockets
• Checking known runtime vulnerabilities

Set up NVIDIA infrastructure for synthetic data generation on MicroK8s or Azure AKS. Coordinate Kubernetes, inference services, and OSMO workflow execution, with prerequisite checks, deployment validation, capacity planning, and failure investigation before workloads are retried.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up a synthetic data generation environment on MicroK8s
• Deploy an Azure AKS environment with OSMO and inference services
• Check GPU quotas and capacity before scaling

Create starter projects for AI agents, add deployment configuration and automated build and release pipelines to existing projects, or update generated project files. Supports Python and Go ADK templates and a prototype-first approach.

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• Starting a Python or Go agent prototype
• Adding deployment configuration to an existing project
• Adding an automated build and release pipeline

Review EVM and Solana tokens for hidden minting, blocked sales, fee changes, and liquidity withdrawal risks. Combine code scanning with checks of privileged controls to identify mechanisms that could enable a rug pull, or issuer exit scam.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing token risks before an investment
• Checking Solana mint and freeze authorities
• Scanning token code for suspicious controls

Investigate Windows weaknesses that could let a standard user gain Administrator or SYSTEM access. Guides authorized penetration tests through system inspection, credential checks, escalation validation, and reports with remediation recommendations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating Windows privilege escalation paths
• Checking service permissions and stored credentials
• Assessing token privileges and missing patches

Use when writing or editing Simscape Language (.ssc) source files — components, domains, or functions. Triggers include: model a physical component in .ssc; write physical equations for a Simscape block; add or modify physics or parameterization options in a Simscape component; build a composite component. Also use for validating .ssc syntax, fixing Simscape Language errors, or converting governing equations into working Simscape component code. Do NOT use for configuring or connecting existing Simscape blocks in a Simulink model — that is model building, not language authoring.

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Use when running or explaining the ClawScan CLI, including one-off agent-skill scans, benchmark runs, scanner fixtures, judge harness commands, env var validation, and interpreting clawscan-run-v1 and clawscan-benchmark-v1 artifacts.

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Design escalation path -- Tier 1 to Tier 2 to Engineering handoff, decision criteria, and communication templates. Use when asked to "design our escalation process", "when should support escalate to engineering", "build an escalation runbook", or "reduce escalation rate".

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Scan the current market landscape and produce a ground-truth ecosystem snapshot. Chains /last30days for live research, validates with user, and writes brand/landscape.md with a Claims Blacklist that hard-gates all content generation. Use when: "landscape", "ecosystem", "market snapshot", "ground truth", "what's happening", "refresh landscape", "market trends", or before any content campaign to verify claims.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Security scanner for AI Agent skills, plugins, and MCP servers. Use when: user asks to scan a skill, check if a plugin is safe, vet an MCP server, review skill security, detect malicious code, supply chain safety, or says 'is this safe to install', 'scan this skill', 'check this MCP server', 'security scan', 'vetting', 'skill safety', 'prism scan', '安全扫描', '这个插件安全吗', '扫描一下', '检查安全性', '安装前检查', '技能审查'.

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Manages scaling for GKE workloads using HPA and VPA. Use when configuring Horizontal Pod Autoscaler (HPA), configuring Vertical Pod Autoscaler (VPA), or applying best practices for GKE workload autoscaling. Do not use for cluster-level autoscaling (Cluster Autoscaler), static cluster sizing, or configuring node-level machine styles directly.

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ScalarDB Analytics設計エージェント - ScalarDB Analyticsを使用した分析基盤の設計。Apache Sparkベースの分析クエリ、マルチDB横断分析を策定。/design-scalardb-analytics [対象パス] で呼び出し。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when working with Trivy — trivy comprehensive security scanner. Covers container image scanning, filesystem scanning, Kubernetes cluster scanning, SBOM generation, secret detection, license scanning, and misconfiguration detection. Use when scanning containers for vulnerabilities, generating SBOMs, scanning K8s clusters, or detecting misconfigurations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ScalarDBコード生成エージェント - 設計仕様からScalarDB/Spring Bootのコードを自動生成。エンティティ、リポジトリ、サービス、コントローラーを出力。/generate-scalardb-code [対象パス] で呼び出し。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ScalarDB Analytics設計エージェント - ScalarDB Analyticsを使用した分析基盤の設計。Apache Sparkベースの分析クエリ、マルチDB横断分析を策定。/design-scalardb-analytics [対象パス] で呼び出し。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.