Individual skill
high-stakes-analytics-decision-lab
Build or review source-backed descriptive, diagnostic, predictive, and prescriptive analysis for consequential decisions. Use when an agent must profile and safely prepare uploaded data, turn a real dataset or research question into a reproducible study, investigate drivers without overstating causality, validate a model, compare feasible actions under dependent uncertainty and tail risk, trace every parameter to evidence and approval, or produce an answer-first analytical report across health, business, finance, policy, engineering, operations, behavioral science, AI, or planning.
skills/high-stakes-analytics-decision-lab/SKILL.md
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- Last checked
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- agent-skills Repository topic
- analytics Repository topic
- data-quality Repository topic
- decision-science Repository topic
- python Repository topic
- reproducible-research Repository topic
- responsible-ai Repository topic
- risk-analysis Repository topic
- data Derived category
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LICENSE.txtdoc · 1,106 bytesSKILL.mdcore · 8,971 bytesSKILL.mdcore · 8,971 bytesSKILL.mdcore · 8,971 bytesSKILL.mdcore · 8,971 bytesSKILL.mdcore · 8,971 bytesSKILL.mdcore · 8,971 bytesSKILL.mdcore · 8,971 bytesSKILL.mdcore · 8,971 bytesSKILL.mdcore · 8,971 bytesSKILL.mdcore · 8,971 bytesSKILL.mdcore · 8,971 bytesSKILL.mdcore · 8,971 bytesagents/openai.yamlasset · 282 bytesassets/case-template.jsonasset · 7,834 bytesassets/data-contract-template.jsonasset · 945 bytesbundle-manifest.jsonasset · 6,404 bytesreferences/advanced-method-boundaries.mddoc · 2,935 bytesreferences/analytics-triad.mddoc · 2,643 bytesreferences/case-precedents.mddoc · 15,098 bytesreferences/case-schema.mddoc · 8,541 bytesreferences/data-quality-gate.mddoc · 8,197 bytesreferences/domain-playbooks.mddoc · 3,073 bytesreferences/editorial-visual-system.mddoc · 7,642 bytesreferences/method-domain-map.jsonasset · 1,883 bytesreferences/method-modules.mddoc · 5,242 bytesreferences/method-routing.mddoc · 4,927 bytesreferences/methodology.mddoc · 8,818 bytesreferences/provenance-contract.mddoc · 2,468 bytesreferences/real-evidence-workflow.mddoc · 3,083 bytesreferences/reporting-standard.mddoc · 2,372 bytesreferences/reproducibility-contract.mddoc · 2,358 bytesreferences/visual-report-system.mddoc · 5,168 bytesscripts/allocation_optimizer.pyruns · 15,634 bytesscripts/analytics_router.pyruns · 25,335 bytesscripts/data_quality.pyruns · 86,035 bytesscripts/decision_engine.pyruns · 115,391 bytesscripts/doctor.pyruns · 5,248 bytesscripts/evidence_analysis.pyruns · 16,652 bytesscripts/hsadl.pyruns · 2,517 bytesscripts/init_case.pyruns · 12,408 bytesscripts/prediction_validation.pyruns · 25,374 bytesscripts/prepare_dataset.pyruns · 1,596 bytesscripts/profile_dataset.pyruns · 1,252 bytesscripts/quickstart_demo.pyruns · 5,490 bytesscripts/report_visuals.pyruns · 43,522 bytesscripts/route_question.pyruns · 1,826 bytesscripts/run_case.pyruns · 1,752 bytesscripts/validate_case.pyruns · 995 bytesscripts/visual_system.pyruns · 12,056 bytes
Read excerpt
# High-Stakes Analytics & Decision Lab
Turn a real question into a defensible path from source evidence to analysis and,
only when justified, bounded action. Keep observation, diagnosis, prediction,
causal evidence, value judgments, and recommendation visibly separate.
## Start here
Run the environment audit before an executable workflow:
```bash
python3 scripts/hsadl.py doctor
```
