microsoft/hve-core
Publicmirrored fromhttps://github.com/microsoft/hve-coreAvailable
collections/data-science.collection.yml
70lines · modecode
| 1 | id: data-science |
| 2 | name: Data Science |
| 3 | description: Data specification generation, Jupyter notebooks, and Streamlit dashboards |
| 4 | notice: | |
| 5 | > [!CAUTION] |
| 6 | > This collection includes RAI (Responsible AI) agents and prompts that are **assistive tools only**. They do not replace qualified responsible AI review, ethics board oversight, or established organizational RAI governance processes. All AI-generated RAI assessments, impact analyses, and recommendations **must** be reviewed and validated by qualified professionals before use. AI outputs may contain inaccuracies, miss sensitive use categories, or produce recommendations that are incomplete or inappropriate for your context. |
| 7 | tags: |
| 8 | - data |
| 9 | - jupyter |
| 10 | - streamlit |
| 11 | - dashboards |
| 12 | - visualization |
| 13 | - data-science |
| 14 | - rai |
| 15 | - responsible-ai |
| 16 | items: |
| 17 | # Agents |
| 18 | - path: .github/agents/data-science/gen-data-spec.agent.md |
| 19 | kind: agent |
| 20 | - path: .github/agents/data-science/gen-jupyter-notebook.agent.md |
| 21 | kind: agent |
| 22 | - path: .github/agents/data-science/gen-streamlit-dashboard.agent.md |
| 23 | kind: agent |
| 24 | - path: .github/agents/data-science/test-streamlit-dashboard.agent.md |
| 25 | kind: agent |
| 26 | - path: .github/agents/rai-planning/rai-planner.agent.md |
| 27 | kind: agent |
| 28 | maturity: experimental |
| 29 | - path: .github/agents/hve-core/subagents/researcher-subagent.agent.md |
| 30 | kind: agent |
| 31 | # Instructions |
| 32 | - path: .github/instructions/coding-standards/python-script.instructions.md |
| 33 | kind: instruction |
| 34 | - path: .github/instructions/coding-standards/uv-projects.instructions.md |
| 35 | kind: instruction |
| 36 | - path: .github/instructions/rai-planning/rai-backlog-handoff.instructions.md |
| 37 | kind: instruction |
| 38 | maturity: experimental |
| 39 | - path: .github/instructions/rai-planning/rai-identity.instructions.md |
| 40 | kind: instruction |
| 41 | maturity: experimental |
| 42 | - path: .github/instructions/rai-planning/rai-impact-assessment.instructions.md |
| 43 | kind: instruction |
| 44 | maturity: experimental |
| 45 | - path: .github/instructions/rai-planning/rai-security-model.instructions.md |
| 46 | kind: instruction |
| 47 | maturity: experimental |
| 48 | - path: .github/instructions/rai-planning/rai-sensitive-uses.instructions.md |
| 49 | kind: instruction |
| 50 | maturity: experimental |
| 51 | - path: .github/instructions/rai-planning/rai-standards.instructions.md |
| 52 | kind: instruction |
| 53 | maturity: experimental |
| 54 | - path: .github/instructions/rai-planning/rai-capture-coaching.instructions.md |
| 55 | kind: instruction |
| 56 | maturity: experimental |
| 57 | - path: .github/instructions/shared/hve-core-location.instructions.md |
| 58 | kind: instruction |
| 59 | # Prompts |
| 60 | - path: .github/prompts/rai-planning/rai-capture.prompt.md |
| 61 | kind: prompt |
| 62 | maturity: experimental |
| 63 | - path: .github/prompts/rai-planning/rai-plan-from-prd.prompt.md |
| 64 | kind: prompt |
| 65 | maturity: experimental |
| 66 | - path: .github/prompts/rai-planning/rai-plan-from-security-plan.prompt.md |
| 67 | kind: prompt |
| 68 | maturity: experimental |
| 69 | display: |
| 70 | ordering: manual |
| 71 | |