'strict' 검색 결과

Draft or review manuscript statements explaining where data and code can be accessed. Organize repository choices, access restrictions, identifiers, and dataset citations, and check metadata that helps others find and reuse the research data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Draft data and code availability statements
• Choose repositories and access routes for research data
• Review dataset citations and metadata

Look up Ondo tokens representing US stocks through Binance Web3. Retrieve prices, holder counts, company details, trading restrictions, and candlestick data, and compare token prices with underlying stock prices while accounting for shares represented by each token.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Research available tokenized US stocks
• Check trading restrictions and their reasons
• Compare token and underlying stock prices

Trace how requests become rendered pages in a CTF sandbox. Compare display restrictions with server enforcement, inspect data passed to the browser, and preserve a minimal example that demonstrates where rendering behavior diverges.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Trace routes through server rendering
• Inspect page data passed to the browser
• Compare display restrictions with handler enforcement

Investigate Debian Linux issues through service checks, logs, and package tools. Receive repair commands, verification steps, and rollback guidance, with attention to AppArmor security restrictions or firewall settings when relevant.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating Debian service or package problems
• Checking whether security restrictions affect an issue
• Preparing repair, verification, and rollback steps

Add controls to AI agents that use APIs, databases, and files. Use Python patterns for tool permissions, approval requirements, call limits, suspicious input checks, audit logs, and trust scores that guide delegation between agents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Restrict which tools an agent can call
• Check suspicious inputs before execution
• Require human approval for sensitive operations

Investigate excessive privileges inside Kubernetes pods by reviewing security settings, runtime events, and audit logs. Use admission policies to restrict risky configurations and Falco monitoring to detect suspicious privilege changes and container activity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding pods running as root or in privileged mode
• Reviewing host filesystem access and dangerous Linux permissions
• Detecting privilege changes while containers are running

Design and configure VLANs, logical network partitions, to separate employee devices, servers, guests, and IoT equipment. Covers traffic restrictions between zones, switch security settings, and tests to verify that the intended isolation works.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Separating guest WiFi and IoT devices from internal systems
• Planning network isolation for payment processing systems
• Restricting communication between network zones

Configure cryptographic key storage and operations through PKCS#11, a standard interface for security devices. Work with physical HSMs or SoftHSM2 for development to generate keys, sign data, encrypt information, and check key export restrictions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Configure protected key storage on a physical HSM
• Test PKCS#11 workflows with SoftHSM2
• Sign and encrypt data using keys stored inside an HSM

Turn a Markdown slide deck into a single HTML file for browser presentations. Navigate with the keyboard, view speaker notes and the next slide in presenter mode, and print the deck as a PDF with one slide per page.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Converting Markdown notes into browser slides
• Presenting with speaker notes and a next-slide preview
• Exporting a deck as a PDF with one slide per page

Implement Google sign-in for web applications using Google Identity Services. Add sign-in buttons or One Tap, verify ID tokens as proof of identity, configure browser security policies, and handle sessions, sign-out, and account disconnection.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding Google sign-in to a React or Next.js application
• Verifying ID tokens and restricting Workspace domains
• Configuring One Tap and preventing automatic sign-in after logout

Configure GKE ComputeClasses, which define preferred computing resources for workloads. Set fallback options between Spot and on-demand VMs, target GPUs or machine families, control class usage, and investigate pods waiting for suitable nodes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Configuring fallback from Spot VMs to on-demand capacity
• Selecting GPUs, TPUs, or machine families
• Restricting ComputeClass editing and workload usage

Configure Cloud Logging within one Google Cloud project. Set storage locations, retention periods, routing rules, and viewing permissions; create metrics from logs; and adjust stored volume through exclusions or sampling, which retains only a portion of entries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set regional log storage and retention periods
• Restrict access to sensitive logs
• Count specific errors with logs-based metrics

Guides developers in restricting server file access to approved directories. It covers validated download paths, agent file tools, local data connectors, and sandbox settings to address path traversal, where supplied paths escape their allowed location.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing file download routes
• Restricting agent file access to a workspace
• Checking local file connectors for cloud deployment

Turn plain-language requirements and optional API documentation into OpenShell sandbox network policies in YAML. Define allowed destinations, programs, and API operations, with optional middleware settings for inspecting or transforming traffic and controlling what happens when processing fails.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Restrict API access to reading operations
• Allow only specific API methods and paths
• Limit internal service access by program and IP range

Run Python code and Shell commands in an isolated Cube Sandbox environment. The skill covers file access, host directory mounting, network restrictions, and pausing and resuming execution while preserving the sandbox's memory state.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Running untrusted code in an isolated environment
• Reading and writing sandbox files
• Restricting outbound network access

Automate LinkedIn messages, connection acceptance, and feed posts with practical browser workflows. The skill explains visual targeting, image uploads, delivery checks, and when to stop if login prompts or account restrictions appear.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Send messages from LinkedIn profiles
• Accept connection requests and send welcome messages
• Publish feed posts with images

Adjust an existing Legal Builder Hub profile through guided prompts. Review current settings, change practice areas, skill sources, update preferences, or quality checks, and see how each change affects connected features before it is saved.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Update company details or practice areas
• Add or pause a watched skill registry
• Change update frequency and notification preferences

Support ClawHub staff moderation through its local admin tool, including skill reports, removals and restores, user restrictions, publisher and package management, and staff email, with approval checks and verification after changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Triage skill reports and restore hidden listings
• Ban users or lift account restrictions
• Manage organization publishers and package ownership

Create a DESIGN.md guide for generating screens in Google Stitch. Define colors, typography, asymmetric layouts, component states, and motion with precise values and explicit restrictions, giving the agent consistent instructions for a specific visual style.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set shared design rules for Google Stitch screens
• Define asymmetric page layouts
• Document typography, colors, and interaction behavior

Write and troubleshoot native Python in n8n Code nodes. Covers data filtering and transformation, migration from older Python code, valid return formats, and restricted execution environments, including cases where errors pass unprocessed input downstream.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Filtering and aggregating data in Python Code nodes
• Migrating legacy Python (Beta) code
• Fixing input-variable and return-format errors

Diagnose command failures before attributing them to sandbox restrictions, which limit access to files and networks. Check execution methods, command matching, and network behavior, then prepare an evidence-based report for the person responsible for settings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating permission errors such as EPERM
• Separating network restrictions from hostname failures
• Checking why an excluded command still fails

Analyze ML and AI experiment results with statistical checks, confidence intervals, and effect sizes, which describe the size of differences. Produce scientific figures and analysis reports while identifying missing evidence and limits on model comparison claims.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing model performance across repeated runs
• Checking significance and the size of performance differences
• Examining how removing model components affects results

Prepare data availability statements for Nature-family submissions by mapping research datasets to access routes, planning repositories, drafting dataset citations, and checking metadata—the descriptive information needed to find and reuse data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a data availability statement for a manuscript
• Planning repositories and dataset citations
• Clarifying access conditions for restricted data

Analyze ML and AI experiment data with statistical tests, effect sizes, confidence intervals, and figures. The skill validates comparisons and produces an analysis report, statistical appendix, and figure catalog while identifying missing evidence and limitations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare model performance across repeated experiment runs
• Measure the effects of removing or changing model components
• Generate comparison charts and training curves from real data