Individual skill
nvflare-autofl
Use for agent-assisted Auto-FL optimization of an existing NVFLARE job in simulation, POC, or production. Do not use for code conversion, diagnosis-only work, or deployment setup.
skills/nvflare-autofl/SKILL.md
Source commit fce3cca4170be75e82c64920654d56ee2811b005
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 3,908
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- claude-code Repository topic
- codex Repository topic
- coding-agents Repository topic
- cuda Repository topic
- developer-tools Repository topic
- llm Repository topic
- omniverse Repository topic
- nvflare,-federated-learning,-optimization Declared skill tag
- devops Derived category
- education Derived category
Files and excerpt
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Browse files
BENCHMARK.mddoc · 8,340 bytesSKILL.mdcore · 15,666 bytesSKILL.mdcore · 15,666 bytesSKILL.mdcore · 15,666 bytesSKILL.mdcore · 15,666 bytesSKILL.mdcore · 15,666 bytesSKILL.mdcore · 15,666 bytesSKILL.mdcore · 15,666 bytesSKILL.mdcore · 15,666 bytesSKILL.mdcore · 15,666 bytesSKILL.mdcore · 15,666 bytesconfig/skillspector-baseline.yamlasset · 642 bytesevals/evals.jsonasset · 17,764 bytesevals/files/SOURCE.mddoc · 2,243 bytesevals/files/develop_literature_batch_results.tsvasset · 2,211 bytesevals/files/develop_literature_batch_state.jsonasset · 1,323 bytesevals/files/diversify_candidates_results.tsvasset · 3,807 bytesevals/files/diversify_candidates_state.jsonasset · 1,192 bytesreferences/bounded-campaign-example.mddoc · 974 bytesreferences/continuous-campaigns.mddoc · 10,391 bytesreferences/experiment-comparability.mddoc · 8,669 bytesreferences/job-import-contract.mddoc · 4,900 bytesscripts/campaign_guard.pyruns · 22,755 bytesscripts/job_importer.pyruns · 66,786 bytesscripts/plot_progress.pyruns · 22,971 bytesscripts/run_job_campaign.pyruns · 193,153 bytesskill-card.mddoc · 4,686 bytesskill.oms.sigasset · 8,313 bytestests/helper_scripts.mddoc · 436 bytes
Read excerpt
# NVFLARE Auto-FL
**All optimization must go through the official campaign runner (`run_job_campaign.py`): never optimize or edit the user's project directly outside a prepared candidate.**
## Purpose
Improve a measured objective for an existing NVFLARE job through isolated,
reproducible candidate changes while the campaign runner preserves the live
best source, comparison budget, metric semantics, state, and evidence.
## Available Scripts
| Script | Purpose | Arguments |
| --- | --- | --- |