DataOps and DS/MLOps testing reference for data tiering, Bronze-to-Silver validation placement, pipeline invariants, pytest categories, and validation-versus-drift. Use when designing, reviewing, or generating data pipelines, transformation code, data validation, or data-science test suites.
Install
npx skills add microsoft/hve-core --skill dataopsnpx skills add microsoft/hve-core --skill dataops -a claude-code -gnpx skills add microsoft/hve-core --skill dataops -a codex -ggemini skills install https://github.com/microsoft/hve-core.git --path .github/skills/data-science-engineering/dataopsgh skill install microsoft/hve-core dataopsgit clone --depth 1 https://github.com/microsoft/hve-core /tmp/microsoft__hve-core
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/microsoft__hve-core/.github/skills/data-science-engineering/dataops ~/.claude/skills/dataops # Claude Code
cp -R /tmp/microsoft__hve-core/.github/skills/data-science-engineering/dataops ~/.agents/skills/dataops # Codex, Cursor, Gemini CLI, Copilot, OpenCode