'logs' 검색 결과

Manage Node.js processes through PM2 from the command line. List running processes, start or restart applications, inspect logs and metrics, and save the process list, with structured JSON output for agent workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Inspect running processes and their metrics
• Start, stop, or restart an application
• Review recent application logs

Build and maintain BMad skills, agents, and modules through a guided conversation. Turn prompts or session logs into reusable skills, review existing tools, and prepare modules for distribution, with approval before files are written.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a skill from a prompt or session logs
• Build an agent with a defined persona
• Fix or review an existing skill

Organize experiment photos, audio, and notes into Markdown logs with structured metadata. Assign experiment and sample batch IDs, archive original attachments, and optionally connect records to Feishu group messages or an Obsidian notebook.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning experiment photos and voice notes into consistent logs
• Tracking the same sample batch across multiple experiments
• Archiving original files with links from experiment logs

Develop AxonX plugins and manage quantitative finance research through the command line or MCP, an agent connection interface. Track data preparation, training, prediction, and historical strategy tests using execution status, logs, artifacts, and dependencies.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Develop research plugins with defined inputs and outputs
• Run data preparation, training, prediction, and backtests
• Investigate failed tasks through status and logs

Estimate AWS costs before deployment, analyze spending trends, and investigate metrics and logs with CloudWatch. The skill guides cost reviews, alert setup, and operational improvements through connected tools, with additional integrations for audits and security assessments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Estimating monthly AWS costs before deployment
• Investigating unexpected charges and spending trends
• Setting up CloudWatch alarms and investigating logs

Investigate failed Agent QA runs using recorded steps, logs, and saved evidence. Classify each failure, explain confidence and supporting findings, and identify the likely area to fix and the next action.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating a failed or interrupted Agent QA run
• Reviewing saved evidence and execution logs
• Comparing recurring failures across recent runs

Develop and update MicroPython apps on an already provisioned Cardputer-Adv. Add apps to its launcher, transfer individual changed files without reflashing, inspect serial logs, and run a single command through the device’s interactive Python console.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add a small app to the device launcher
• Transfer a changed Python file without reflashing
• Watch device logs while checking behavior

Investigate signs of intrusion through hypothesis-led log searches, then turn findings into detection rules. Supports Sigma, YARA, and SIEM queries, with attention to false positives, data field mapping, and validation against historical logs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Hunting for intrusion signs in security logs
• Turning findings into Sigma or YARA rules
• Investigating false positives and tuning alerts

Turn graded execution traces and production logs into model training examples and preferred-versus-rejected response pairs. Select useful records, remove sensitive information, exclude evaluation examples, and preserve links to the original runs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Convert high-scoring successful runs into training examples
• Use expert-corrected failures as training examples
• Pair passing and failing responses to the same task

Turn conversation logs, meeting notes, task records, and other OpenViking materials into daily Markdown reports. The skill separates confirmed outcomes from plans, consolidates repeated evidence, and links reported progress, decisions, blockers, and commitments to their sources.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing an end-of-day work report from scattered records
• Combining meeting notes and chat logs into a daily summary
• Separating confirmed results from agent plans and suggestions

Turn descriptions of 3D shapes and CAD tasks into FreeCAD Python scripts. Create models with adjustable dimensions, automate repeated operations with macros, convert meshes and solids, or build custom dialogs and workbench tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create 3D models from written descriptions
• Build models with adjustable dimensions
• Automate repeated CAD operations with macros

Run repeated change-and-evaluation cycles for one predefined improvement mission within an explicit runtime limit. Save each evaluation as JSON and each decision in readable Markdown logs, with support for periodic reruns through Claude Code native cron.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Repeating improvements under a fixed evaluation method
• Keeping evaluation results and decision logs
• Running experiments within a time limit

Review records across OMC sessions to find recurring obstacles in the agent's working environment. It turns evidence from timelines, logs, and notes into ranked proposals for checks, guidance, tools, or information access, with changes requiring user approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating errors repeated across sessions
• Reviewing missing or disconnected automated checks
• Improving access to logs and service state

Investigate CUDA crashes in SGLang using logs and inputs saved before execution. Inspect tensor shapes, data types, and numerical anomalies, with guidance for separate process logs and additional CUDA debugging tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating illegal memory access and device-side assertions
• Tracing NaN or Inf values through kernel calls
• Saving inputs before a CUDA crash

Review application permissions and consent audit logs in Microsoft Entra ID using Microsoft Graph API. Identify overly broad access, unverified publishers, and suspicious consent patterns, then produce a JSON risk report with remediation recommendations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspicious application consent
• Reviewing apps with broad mail or file access
• Tracing consent events through audit logs

Analyze Windows authentication logs for repeated password guesses against Remote Desktop services. Group failures by source IP and account, check for later successful logins, and produce a JSON report highlighting attack patterns and possible compromise.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate repeated login failures on exposed RDP services
• Identify accounts targeted by password guessing
• Check for successful logins after repeated failures

Investigate suspected data theft from AWS S3 by comparing access logs, GuardDuty findings, and Macie classifications. Identify unusual bulk downloads and transfers across accounts, assess sensitive data exposure, and build automated detection rules.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating unusual bulk downloads from S3
• Checking transfers to external AWS accounts
• Assessing exposure of sensitive data

Investigate misuse of application identities in Microsoft Entra ID using audit and sign-in logs. Provides detection queries and investigation steps for suspicious credential additions, privileged role assignments, consent grants, and service principal enumeration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspicious additions of application credentials
• Reviewing privileged roles assigned to application identities
• Building detection rules for Entra ID identity abuse

Investigate suspected email account takeovers by examining audit logs, sign-ins, inbox rules, and app permissions. Identify suspicious forwarding, unlikely travel between sign-ins, and unusual access, then summarize findings and recommended containment actions in a severity-rated report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspected business email compromise
• Checking for suspicious external forwarding rules
• Reviewing unusual sign-ins and app permissions

Examine Zeek connection logs for regular callbacks that may indicate communication with an attacker’s control server. Use ZAT and Pandas to group connections, measure timing variation, and identify source and destination pairs for further investigation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Hunting for periodic callbacks in Zeek connection logs
• Comparing connection timing across source and destination pairs
• Developing beaconing detection rules and hunting queries

Screen AI application inputs and historical logs for prompt injection, where malicious instructions try to redirect the model. Combine pattern matching, text structure scoring, and a DeBERTa classifier to flag suspicious content and produce JSON results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Screening chatbot and AI agent inputs
• Checking external text used in retrieval-based AI applications
• Auditing historical interaction logs for injection attempts

Deploy Suricata to detect suspicious network traffic or block it inline. Configure protocol inspection, detection rules, and structured EVE JSON logs, then connect logs to analysis platforms and check packet drops and alert quality during operation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploying network intrusion monitoring
• Configuring inline blocking of malicious traffic
• Adding custom detection rules and reducing noisy alerts

Reconstruct activity on a compromised computer by combining file timestamps, event logs, browser history, and other evidence into one timeline. Extract and filter events with Plaso, then review and annotate them collaboratively in Timesketch.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reconstructing the sequence of a computer compromise
• Comparing events across logs and file records
• Investigating timestamp changes and cleared logs

Reconstruct USB device usage on Windows by comparing registry records, Event Logs, and device installation logs. Identify devices, correlate connection times and drive letters, and build a timeline for removable media investigations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspected data removal through USB storage
• Checking whether unapproved USB devices were connected
• Correlating USB connections with malware execution