'nemo' 검색 결과

Prepare and create a signed NemoClaw release tag for a requested version, then monitor release workflows, documentation, and published images. It records maintainer decisions and drafts an announcement after verifying the remote tag.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a tag for a requested release version
• Recording documentation and end-to-end test decisions
• Checking workflows and images after tagging

Answer NemoClaw maintainer questions using policy references covering issue and pull request assessment, labels, project fields, releases, and competing contributions. It explains the relevant rules in plain language through a read-only workflow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking issue and pull request assessment rules
• Understanding labels and project fields
• Checking release inclusion and cutoff rules

Continuously monitor automatic end-to-end tests on NemoClaw main, group failures by root cause, and coordinate fixes and peer reviews through GitHub. Track ownership and merge readiness while checking whether later runs confirm each repair.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Continuously monitor automatic test failures on main
• Coordinate repair ownership across maintainers
• Review peer fixes and assess merge readiness

Run NemoClaw live end-to-end tests, which check complete workflows, or inspect existing release evidence. Routes requests to local or trusted GitHub workflows and reports the tested commit, results, workflow link, and relevant job links.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Run end-to-end tests for the latest pull request commit
• Run end-to-end tests for the current main commit
• Test working-tree source in a requested local run

Implement or review a managed runtime provider for NemoClaw. Check its required interfaces, activation requirements, saved provider identity, and lifecycle behavior, then report validation evidence and any remaining qualification requirements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan a new managed runtime provider
• Review provider activation requirements
• Check saved state across lifecycle operations

Turn a named NemoClaw issue into an implementation plan with clear ownership, scope, completion criteria, and validation evidence. For larger changes, define independently useful steps, their dependencies, and delivery order.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan implementation for a named issue
• Divide a large change into useful steps
• Define acceptance criteria and test evidence

Draft a NemoClaw release announcement from verified GitHub tags and shipped pull requests. Produce a local Markdown draft with an opening narrative, categorized changes, visible pull request links, and thanks to external contributors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting an announcement after a release tag is created
• Explaining shipped changes and their impact on users
• Preparing acknowledgments for external contributors

Analyze the full retained history of one NemoClaw pull request to identify contributor, review, and automation delays. Generate a summary and an interactive timeline file, then compare observed timing with a default ten-minute target or a requested alternative.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find delays across a pull request's lifetime
• Compare processing time with a target
• Measure review and merge waiting time

Update NemoClaw documentation after merged changes or audit it for outdated guidance. Verify current behavior against source and tests, edit the pages responsible for that guidance, and check affected links and generated variants.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Catch up documentation after merged changes
• Audit documentation for outdated guidance
• Update guides for changed user behavior

Prepare a daily NemoClaw maintenance plan by ranking pending pull requests and issues, checking work carried over from earlier versions, and selecting release targets. Produce a queue with owners, next actions, and merge readiness.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan the day's maintenance work
• Find work carried over from earlier releases
• Rank pull requests for review

Reorganize NemoClaw documentation into focused pages with clearer navigation and a single home for each topic. Plan or implement structural changes while preserving useful information and existing published URLs, then validate routes, links, and builds.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Splitting long documentation pages into focused topics
• Consolidating duplicated troubleshooting and reference content
• Reorganizing navigation while preserving published URLs

Find official NemoClaw documentation for installation, configuration, operation, and troubleshooting. Get source-linked guidance tailored to the selected operating system, agent variant, and inference provider, with optional documentation MCP setup when requested.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find installation prerequisites and first-sandbox instructions
• Look up model and inference provider configuration
• Find documented recovery steps for sandbox problems

Prepare LLM training datasets with NeMo Curator by removing duplicates, filtering low-quality content, and redacting personal information. The skill also covers image, video, and audio curation, including GPU processing and distributed workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clean web-scraped text for LLM training
• Remove exact, near, and meaning-based duplicates
• Remove or replace personal information in text

Close a NemoClaw maintenance day by consolidating documentation and changelog updates, reviewing merged and unfinished work, and preparing a release handoff. When requested, pass the version to the dedicated skill that verifies and creates the release tag.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare an end-of-day release handoff
• Consolidate documentation for merged changes
• Review unfinished work and verification status

Find open NemoClaw security pull requests marked Urgent or High in the project tracker. Connect them to issues, identify competing or superseding proposals, and recommend which request a maintainer should review first.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing which high-priority security pull request to review first
• Finding competing pull requests for the same issue
• Checking declared replacement relationships between pull requests

Review a NemoClaw pull request for security risks by examining changed code, configuration, and dependencies. Assess nine categories and report findings with severity, file locations, and recommended fixes, alongside an overall assessment of whether it is safe to merge.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review a pull request before merging
• Inspect changes linked to an issue
• Check authentication and credential handling

Official NVIDIA-authored guidance for PhysicsNeMo ShardTensor domain parallelism — integrate domain parallelism into training/inference scripts (new or existing) with DDP or FSDP2, write and register shard patches to enable new layers/ops, and bootstrap multi-GPU correctness tests. Use when working with ShardTensor, scatter_tensor, domain parallelism, sequence/spatial sharding, ring attention, DeviceMesh + DDP/FSDP2 hybrid parallelism, or physicsnemo.domain_parallel. Do NOT use for generic PyTorch DDP/FSDP setup without domain parallelism, picking a PhysicsNeMo model or example (use physicsnemo-discover), or non-distributed training questions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Presents a risk framework for every configurable security control in NemoClaw. Use when evaluating security posture, reviewing sandbox security defaults, or assessing control trade-offs. Trigger keywords - nemoclaw security best practices, sandbox security controls risk framework, nemoclaw credential storage, credentials.json, api key security, openclaw security controls, nemoclaw security boundary, prompt injection, tool access control.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Add checks to LLM prompts and responses using Llama Guard 3, NeMo Guardrails, and LLM Guard. Configure content screening, conversation boundaries, and sensitive-data filtering, then measure blocking and false-positive rates with labeled test prompts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding runtime safety checks to LLM, RAG, or agent apps
• Screening prompts for injection and jailbreak attempts
• Filtering sensitive or toxic model responses

Configure safety checks for LLM applications with NeMo Guardrails. Covers attempts to bypass safety rules, input and output validation, masking personal information, and checking factual claims through programmable rules and integrations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Detecting instructions that try to bypass safety rules
• Masking personal information before processing
• Adding factual checks to generated answers

Prepare training datasets for large language models with GPU-assisted cleaning. Covers duplicate removal, quality filtering, and personal information redaction, with workflows for text, images, video, and audio using NeMo Curator.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clean web data for model training
• Remove exact and near duplicates from large text collections
• Redact personal information from training text

Find open issues affected by a proposed code change. Identify additional problems it may fix or requested behavior it may conflict with, then report supporting code differences, issue symptoms, and confidence levels.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find other open issues a PR may resolve
• Check whether a PR conflicts with requested behavior
• Prepare evidence for related-issue reviews

Add safety checks to LLM applications with NeMo Guardrails. This skill guides input and output validation, detection of attempts to bypass safety rules, personal information masking, and checks for unsupported or inaccurate answers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Detect attempts to bypass an AI app's safety rules
• Mask personal information before processing
• Add fact-checking to generated answers

Prepare training datasets for large language models with GPU-assisted cleaning. Covers duplicate removal, quality filtering, and personal information redaction, with workflows for text, images, video, and audio using NeMo Curator.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clean web data for model training
• Remove exact and near duplicates from large text collections
• Redact personal information from training text