8f6506b70a
Major additions: - Staged scanning modes (working tree, staged, committed) with git integration - Drift detection for baseline vs current state comparisons - Hosted API handlers for policy CRUD operations via StemeDB API - stemedb-ontology crate with domain definitions and medical extractors - Consumer health vertical UAT scenarios (GLP-1, gastroparesis, etc.) - Aphoria development skill documentation Code organization: - Split large files into focused modules to stay under 500-line limit - Extracted config tests, episteme helpers/drift/aliases, API helpers Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> |
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|---|---|---|
| .. | ||
| anecdotal-signal-precedence.md | ||
| disagreement-dashboard.md | ||
| gastroparesis-multi-source.md | ||
| glp1-fda-label-paradigm-shift.md | ||
| glp1-muscle-loss-contradiction.md | ||
| glp1-preprint-vs-peer-review.md | ||
| glp1-semantic-decay.md | ||
| glp1-visual-anchoring.md | ||
| guidance-change-propagation.md | ||
| layered-consensus.md | ||
| README.md | ||
| time-travel-query.md | ||
Consumer Health UAT Scenarios
User Acceptance Testing for the Ontology Layer + Medical Vertical.
Prerequisites
- StemeDB running:
cargo run --bin stemedb-api - Ontology crate built:
cargo build -p stemedb-ontology - Pharma CLI available:
cargo build --bin steme-pharma
Scenario Overview
GLP-1 Living Systematic Review Scenarios
| Scenario | File | Tests |
|---|---|---|
| Muscle Loss Contradiction | glp1-muscle-loss-contradiction.md |
Skeptic Lens conflict detection |
| FDA Label Paradigm Shift | glp1-fda-label-paradigm-shift.md |
Epoch supersession O(1) |
| Pre-print vs Peer Review | glp1-preprint-vs-peer-review.md |
Multi-sig weighting |
| Semantic Decay | glp1-semantic-decay.md |
73-day half-life |
| Visual Anchoring | glp1-visual-anchoring.md |
pHash validation |
Consumer Health Intelligence Scenarios
| Scenario | File | Tests |
|---|---|---|
| Gastroparesis Multi-Source | gastroparesis-multi-source.md |
Source-class hierarchy |
| Anecdotal Signal Precedence | anecdotal-signal-precedence.md |
Cluster escalation |
| Guidance Change Propagation | guidance-change-propagation.md |
"What changed since?" |
| Layered Consensus | layered-consensus.md |
Per-tier positions |
| Time Travel Query | time-travel-query.md |
as_of snapshot |
| Disagreement Dashboard | disagreement-dashboard.md |
Resolved/Active/Emerging |
Running Scenarios
Each scenario file contains:
- Scenario description - What we're testing
- Test matrix - Expected vs actual results
- Commands - Exact curl/CLI commands to run
- Sign-off checklist - Manual verification points
Example Workflow
# 1. Start StemeDB
cargo run --bin stemedb-api &
# 2. Run a scenario
# Follow commands in glp1-muscle-loss-contradiction.md
# 3. Record results
# Update the test matrix with actual values
# 4. Archive results
cp glp1-muscle-loss-contradiction.md results/2024-XX-XX-muscle-loss.md
Weekly Execution Schedule
| Week | Scenarios | Why |
|---|---|---|
| 1 | (none) | Building domain definition |
| 2 | (none) | Building extractor |
| 3 | glp1-muscle-loss-contradiction |
First conflict demo |
| 4 | gastroparesis-multi-source, layered-consensus |
Source hierarchy |
| 5 | glp1-fda-label-paradigm-shift |
Epochs |
| 6 | Full suite | Integration validation |
Success Criteria
From GLP-1 Living Review:
- Query
muscle_sparing_effectwith Skeptic lens returnsconflict_score > 0.5 - Epoch supersession invalidates assertions O(1), not O(N)
- Multi-sig: Lancet reviewer signature has higher weight
From Consumer Health Intelligence:
- Tier 0 (FDA) wins over 100x Tier 5 (Reddit) volume
lens=layered-consensusreturns per-tier positions- Source-aware decay: NEJM 8mo old ~0.87 effective; Reddit 26mo old expired