[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-nvidia-openshell-policy-advisor":3,"mdc--ogrxnt-key":34,"related-repo-nvidia-openshell-policy-advisor":102,"related-org-nvidia-openshell-policy-advisor":132},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":23,"repoUrl":24,"updatedAt":25,"license":26,"forks":27,"topics":28,"repo":29,"sourceUrl":32,"mdContent":33},"openshell-policy-advisor","advise on OpenShell network policies","Use when an OpenShell sandbox returns policy_denied, mentions policy.local, or needs a narrow network policy proposal.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},"nvidia","NVIDIA","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fnvidia.png",[12,16,19,20],{"name":13,"slug":14,"type":15},"Security","security","tag",{"name":17,"slug":18,"type":15},"Sandboxing","sandboxing",{"name":9,"slug":8,"type":15},{"name":21,"slug":22,"type":15},"Policy","policy",7681,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FOpenShell","2026-07-14T05:36:11.98073",null,1093,[],{"repoUrl":24,"stars":23,"forks":27,"topics":30,"description":31},[],"OpenShell is the safe, private runtime for autonomous AI agents.","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FOpenShell\u002Ftree\u002FHEAD\u002Fcrates\u002Fopenshell-supervisor-process\u002Fsrc\u002Fskills\u002Fpolicy-advisor","---\nname: openshell-policy-advisor\ndescription: Use when an OpenShell sandbox returns policy_denied, mentions policy.local, or needs a narrow network policy proposal.\n---\n\n# OpenShell Policy Advisor\n\nWhen a request fails with `policy_denied`, do not treat the denial as final if the user task still needs the request. Read `\u002Fetc\u002Fopenshell\u002Fskills\u002Fpolicy_advisor.md`, inspect `http:\u002F\u002Fpolicy.local\u002Fv1\u002Fpolicy\u002Fcurrent`, submit the narrowest proposal to `http:\u002F\u002Fpolicy.local\u002Fv1\u002Fproposals`, wait on `\u002Fv1\u002Fproposals\u002F{chunk_id}\u002Fwait?timeout=300`, and retry only after approval with `policy_reloaded: true`.\n",{"data":35,"body":36},{"name":4,"description":6},{"type":37,"children":38},"root",[39,47],{"type":40,"tag":41,"props":42,"children":43},"element","h1",{"id":4},[44],{"type":45,"value":46},"text","OpenShell Policy Advisor",{"type":40,"tag":48,"props":49,"children":50},"p",{},[51,53,60,62,68,70,76,78,84,86,92,94,100],{"type":45,"value":52},"When a request fails with ",{"type":40,"tag":54,"props":55,"children":57},"code",{"className":56},[],[58],{"type":45,"value":59},"policy_denied",{"type":45,"value":61},", do not treat the denial as final if the user task still needs the request. Read ",{"type":40,"tag":54,"props":63,"children":65},{"className":64},[],[66],{"type":45,"value":67},"\u002Fetc\u002Fopenshell\u002Fskills\u002Fpolicy_advisor.md",{"type":45,"value":69},", inspect ",{"type":40,"tag":54,"props":71,"children":73},{"className":72},[],[74],{"type":45,"value":75},"http:\u002F\u002Fpolicy.local\u002Fv1\u002Fpolicy\u002Fcurrent",{"type":45,"value":77},", submit the narrowest proposal to ",{"type":40,"tag":54,"props":79,"children":81},{"className":80},[],[82],{"type":45,"value":83},"http:\u002F\u002Fpolicy.local\u002Fv1\u002Fproposals",{"type":45,"value":85},", wait on ",{"type":40,"tag":54,"props":87,"children":89},{"className":88},[],[90],{"type":45,"value":91},"\u002Fv1\u002Fproposals\u002F{chunk_id}\u002Fwait?timeout=300",{"type":45,"value":93},", and retry only after approval with ",{"type":40,"tag":54,"props":95,"children":97},{"className":96},[],[98],{"type":45,"value":99},"policy_reloaded: true",{"type":45,"value":101},".",{"items":103,"total":131},[104,124],{"slug":105,"name":105,"fn":106,"description":107,"org":108,"tags":109,"stars":23,"repoUrl":24,"updatedAt":123},"gator-gate","triage and gate GitHub issues and PRs","Validate and monitor OpenShell GitHub issues and PRs using the gator:* state machine. Use when asked to triage issues\u002FPRs for project validity, gate PRs, run gator, validate submissions, or monitor PRs toward merge readiness.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[110,113,116,117,120],{"name":111,"slug":112,"type":15},"Code Analysis","code-analysis",{"name":114,"slug":115,"type":15},"GitHub","github",{"name":9,"slug":8,"type":15},{"name":118,"slug":119,"type":15},"Pull Requests","pull-requests",{"name":121,"slug":122,"type":15},"Triage","triage","2026-07-30T05:29:34.278583",{"slug":4,"name":4,"fn":5,"description":6,"org":125,"tags":126,"stars":23,"repoUrl":24,"updatedAt":25},{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[127,128,129,130],{"name":9,"slug":8,"type":15},{"name":21,"slug":22,"type":15},{"name":17,"slug":18,"type":15},{"name":13,"slug":14,"type":15},2,{"items":133,"total":284},[134,152,170,181,191,203,214,228,241,252,264,273],{"slug":135,"name":135,"fn":136,"description":137,"org":138,"tags":139,"stars":149,"repoUrl":150,"updatedAt":151},"nemoclaw-user-guide","retrieve NemoClaw documentation and configuration","Guides human users' AI agents to the NemoClaw docs MCP server and canonical Fern documentation in Markdown form. Use when users ask how to install, configure, operate, troubleshoot, secure, or learn NemoClaw with an AI coding assistant. Trigger keywords - nemoclaw docs, use nemoclaw with ai agent, nemoclaw mcp docs, nemoclaw install help, nemoclaw quickstart, nemoclaw markdown docs, llms.txt, agent skills.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[140,143,146],{"name":141,"slug":142,"type":15},"Documentation","documentation",{"name":144,"slug":145,"type":15},"MCP","mcp",{"name":147,"slug":148,"type":15},"Search","search",21777,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FNemoClaw","2026-07-20T06:00:01.461044",{"slug":153,"name":153,"fn":154,"description":155,"org":156,"tags":157,"stars":167,"repoUrl":168,"updatedAt":169},"mcore-build-and-dependency","manage Megatron-LM development environments","Container-based dev environment setup and dependency management for Megatron-LM. Covers acquiring and launching the CI container, uv package management, and updating uv.lock.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[158,161,164],{"name":159,"slug":160,"type":15},"Containers","containers",{"name":162,"slug":163,"type":15},"Deployment","deployment",{"name":165,"slug":166,"type":15},"Python","python",17049,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FMegatron-LM","2026-07-27T06:06:11.249662",{"slug":171,"name":171,"fn":172,"description":173,"org":174,"tags":175,"stars":167,"repoUrl":168,"updatedAt":180},"mcore-bump-base-image","update NVIDIA PyTorch base images","Bump the NVIDIA PyTorch base image (`nvcr.io\u002Fnvidia\u002Fpytorch:YY.MM-py3`) used by Megatron-LM CI. Covers the two pin sites (GitHub CI in `docker\u002F.ngc_version.dev` and GitLab CI in `.gitlab\u002Fstages\u002F01.build.yml`), the post-bump CI loop (re-run functional tests, refresh golden values, mark broken tests), and the gotchas that bit PRs",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[176,179],{"name":177,"slug":178,"type":15},"CI\u002FCD","ci-cd",{"name":162,"slug":163,"type":15},"2026-07-14T05:25:59.97109",{"slug":182,"name":182,"fn":183,"description":184,"org":185,"tags":186,"stars":167,"repoUrl":168,"updatedAt":190},"mcore-cicd","manage CI\u002FCD pipelines for Megatron-LM","CI\u002FCD reference for Megatron-LM. Covers CI pipeline structure, PR scope labels, triggering internal GitLab CI (which force-pushes the current branch to a pull-request\u002FBRANCH ref — always dry-run and verify the destination first; never run against shared or protected branches), and CI failure investigation.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[187,188,189],{"name":177,"slug":178,"type":15},{"name":162,"slug":163,"type":15},{"name":114,"slug":115,"type":15},"2026-07-27T06:06:12.278222",{"slug":192,"name":192,"fn":193,"description":194,"org":195,"tags":196,"stars":167,"repoUrl":168,"updatedAt":202},"mcore-create-issue","investigate CI failures and create issues","Investigate a failing GitHub Actions run or job and create a GitHub issue for the failure.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[197,200,201],{"name":198,"slug":199,"type":15},"Debugging","debugging",{"name":114,"slug":115,"type":15},{"name":121,"slug":122,"type":15},"2026-07-14T05:25:57.442089",{"slug":204,"name":204,"fn":205,"description":206,"org":207,"tags":208,"stars":167,"repoUrl":168,"updatedAt":213},"mcore-linting-and-formatting","lint and format Megatron-LM code","Linting and formatting for Megatron-LM. Covers running autoformat.sh, tools (ruff, black, isort, pylint, mypy), and code style rules.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[209,212],{"name":210,"slug":211,"type":15},"Best Practices","best-practices",{"name":111,"slug":112,"type":15},"2026-07-14T05:25:56.18433",{"slug":215,"name":215,"fn":216,"description":217,"org":218,"tags":219,"stars":167,"repoUrl":168,"updatedAt":227},"mcore-migrate-gpt-to-hybrid","migrate Megatron-LM models to HybridModel","Migration guide for moving Megatron Core GPTModel checkpoints, model providers, training commands, and layer mappings to HybridModel.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[220,223,226],{"name":221,"slug":222,"type":15},"Machine Learning","machine-learning",{"name":224,"slug":225,"type":15},"Migration","migration",{"name":9,"slug":8,"type":15},"2026-07-17T06:07:11.777011",{"slug":229,"name":229,"fn":230,"description":231,"org":232,"tags":233,"stars":167,"repoUrl":168,"updatedAt":240},"mcore-onboard-gb200-1node-tests","onboard functional tests for GB200","Onboard 1-node GitHub MR functional tests for GB200 from existing mr-scoped 2-node tests.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[234,237],{"name":235,"slug":236,"type":15},"QA","qa",{"name":238,"slug":239,"type":15},"Testing","testing","2026-07-14T05:25:53.673039",{"slug":242,"name":242,"fn":243,"description":244,"org":245,"tags":246,"stars":167,"repoUrl":168,"updatedAt":251},"mcore-run-on-slurm","launch distributed training jobs on SLURM","How to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, container conventions, monitoring, and per-rank failure diagnosis.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[247,248],{"name":162,"slug":163,"type":15},{"name":249,"slug":250,"type":15},"Infrastructure","infrastructure","2026-07-14T05:25:49.362534",{"slug":253,"name":253,"fn":254,"description":255,"org":256,"tags":257,"stars":167,"repoUrl":168,"updatedAt":263},"mcore-split-pr","split pull requests to reduce review load","Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[258,261,262],{"name":259,"slug":260,"type":15},"Code Review","code-review",{"name":114,"slug":115,"type":15},{"name":118,"slug":119,"type":15},"2026-07-14T05:26:01.226578",{"slug":265,"name":265,"fn":266,"description":267,"org":268,"tags":269,"stars":167,"repoUrl":168,"updatedAt":272},"mcore-testing","run and manage Megatron-LM tests","Test system for Megatron-LM. Covers test layout, recipe YAML structure, adding and running unit and functional tests, golden values, marker filters, and CI parity.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[270,271],{"name":235,"slug":236,"type":15},{"name":238,"slug":239,"type":15},"2026-07-14T05:25:54.928983",{"slug":274,"name":274,"fn":275,"description":276,"org":277,"tags":278,"stars":167,"repoUrl":168,"updatedAt":283},"nightly-sync","manage nightly main-to-dev sync workflows","Domain knowledge for the nightly main-to-dev sync workflow. Covers merge strategy, CI architecture, failure investigation, and known issues.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[279,282],{"name":280,"slug":281,"type":15},"Automation","automation",{"name":177,"slug":178,"type":15},"2026-07-30T05:29:03.275638",496]