157dbbb9eb
## Phase 8: Enterprise Extractor Improvements ✅ - 14 security extractors (TLS, JWT, SQL injection, XSS, etc.) - 10 framework-specific extractors (Spring, Django, Rails, etc.) - Config file security detection (YAML, TOML) ## Phase 9: Autonomous Extractor Generation ✅ - Shadow mode executor with TP/FP tracking - Graduation pipeline with confidence thresholds - Auto-rollback on regression detection - Cross-project pattern syncing ## UAT Suite Complete (14 scripts, 90 tests) - test-core-detection.sh (6 tests) - test-declarative-extractors.sh (5 tests) - test-domain-frameworks.sh (5 tests) - test-domain-unreal.sh (3 tests) - test-llm-extraction.sh (6 tests) - test-eval-harness.sh (5 tests) - test-cross-language.sh (3 tests) - test-precommit-performance.sh (4 tests) - test-output-formats.sh (8 tests) - test-drift-detection.sh (6 tests) - test-exit-codes.sh (12 tests) + 3 more scripts ## Other Changes - Updated roadmap to mark Phase 8-9 complete - Added .gitignore entries for build artifacts - Updated pre-commit: 800 line limit, exclude tests/data/cmd Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
143 lines
4.3 KiB
Markdown
143 lines
4.3 KiB
Markdown
# Demo Agent Keypairs
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**DO NOT USE THESE KEYS IN PRODUCTION**
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This directory contains pre-generated Ed25519 keypairs for reproducible demos.
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These keys are deterministic (derived from agent names) and publicly visible.
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## Quick Reference
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| Agent Name | Tier | Public Key (Agent ID) |
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|------------|------|----------------------|
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| `fda:drug-label-ingestor` | T0 (Regulatory) | `31cf051e3d7c9cae93277a2f0cb2dd1d09b7a0a7167b8782a49b4ac57c6fa7b3` |
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| `pubmed:abstract-indexer` | T1 (Clinical) | `83b7c1e6394cc46b1cad352a49bfcceab78dd592a1cebfa03800a9af99fd6d52` |
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| `clinicaltrials:study-importer` | T1 (Clinical) | `aa6f11e80dd787498528eccc00ab46b3d19c3d8d5c30417498fff14b0302bac5` |
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| `internal:clinical-ops-reviewer` | T3 (Expert) | `7f781705c56047037db522c47691c3fc4b38e77a7d7f654ca644155a59993e59` |
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| `reddit:health-discussion-scraper` | T5 (Anecdotal) | `29cb285fdcdac0eb623812b63bde48b7be98d1ac07c14d7d402abdc1ec031402` |
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## Agent Details
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### fda:drug-label-ingestor (Tier 0 - Regulatory)
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**Role:** Ingests FDA drug label data from official regulatory sources.
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**Sources:** DailyMed, FDA Orange Book
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**Typical Assertions:**
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- Drug indications and approved uses
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- Contraindications and warnings
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- Adverse reaction rates from clinical trials
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- Dosage and administration guidelines
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**Public Key:** `31cf051e3d7c9cae93277a2f0cb2dd1d09b7a0a7167b8782a49b4ac57c6fa7b3`
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---
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### pubmed:abstract-indexer (Tier 1 - Clinical)
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**Role:** Indexes clinical trial abstracts from peer-reviewed literature.
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**Sources:** PubMed, MEDLINE
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**Typical Assertions:**
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- Clinical trial outcomes and efficacy data
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- Study methodology and population characteristics
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- Statistical significance of findings
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- Comparison of treatment modalities
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**Public Key:** `83b7c1e6394cc46b1cad352a49bfcceab78dd592a1cebfa03800a9af99fd6d52`
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---
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### clinicaltrials:study-importer (Tier 1 - Clinical)
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**Role:** Imports trial protocols and results from the federal registry.
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**Sources:** ClinicalTrials.gov
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**Typical Assertions:**
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- Ongoing and completed trial statuses
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- Enrollment numbers and demographics
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- Primary and secondary endpoint results
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- Sponsor and investigator information
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**Public Key:** `aa6f11e80dd787498528eccc00ab46b3d19c3d8d5c30417498fff14b0302bac5`
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---
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### internal:clinical-ops-reviewer (Tier 3 - Expert)
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**Role:** Internal clinical expert providing manual review and annotations.
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**Sources:** Internal review, Manual annotations
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**Typical Assertions:**
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- Expert interpretation of conflicting data
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- Clinical practice recommendations
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- Safety signal assessments
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- Off-label use observations
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**Public Key:** `7f781705c56047037db522c47691c3fc4b38e77a7d7f654ca644155a59993e59`
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---
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### reddit:health-discussion-scraper (Tier 5 - Anecdotal)
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**Role:** Scrapes patient experience reports from health communities.
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**Sources:** Reddit r/loseit, r/Ozempic, health forums
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**Typical Assertions:**
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- Patient-reported side effects
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- Real-world dosing experiences
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- Treatment satisfaction ratings
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- Community sentiment about medications
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**Public Key:** `29cb285fdcdac0eb623812b63bde48b7be98d1ac07c14d7d402abdc1ec031402`
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---
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## Source Tier System
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StemeDB uses a 6-tier source hierarchy for trust-weighted resolution:
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| Tier | Class | Description | Weight |
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|------|-------|-------------|--------|
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| T0 | Regulatory | FDA, EMA, regulatory agencies | Highest |
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| T1 | Clinical | Peer-reviewed trials, registries | High |
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| T2 | Academic | Research papers, meta-analyses | Medium-High |
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| T3 | Expert | Domain experts, professional opinion | Medium |
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| T4 | Journalistic | News, fact-checked reporting | Low-Medium |
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| T5 | Anecdotal | Social media, patient forums | Low |
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When claims conflict, the Authority lens prefers higher-tier sources.
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The Skeptic lens shows all claims regardless of tier.
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## Regenerating Keys
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Keys are deterministically generated from agent names using SHA-256:
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```bash
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cd demo/keys
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go run keygen.go
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```
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This will overwrite `agents.json` with the same keys (deterministic).
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## Using in Demo Seed
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The `cmd/demo-seed` program loads these keys and creates realistic demo data:
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```bash
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go run ./cmd/demo-seed --api-url http://localhost:18180
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```
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## Security Notice
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These keys are:
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- **Publicly visible** in this repository
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- **Deterministic** (anyone can regenerate them)
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- **For demos only** (not for production use)
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For production deployments, generate unique keypairs and store them securely.
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