Initial addition of ms-ai-architect plugin to the open-source marketplace. Private content excluded: orchestrator/ (Linear tooling), docs/utredning/ (client investigation), generated test reports and PDF export script. skill-gen tooling moved from orchestrator/ to scripts/skill-gen/. Security scan: WARNING (risk 20/100) — no secrets, no injection found. False positive fixed: added gitleaks:allow to Python variable reference in output-validation-grounding-verification.md line 109. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Knowledge Base Update Policy
Last updated: 2026-02 Applies to: ms-ai-architect plugin (5 skills, 364 reference files)
Update Frequency
| Priority | Category Pattern | Threshold | Rationale |
|---|---|---|---|
| Critical | cost, pricing, pris | 30 days | Azure prices change monthly |
| High | responsible-ai, norwegian-public-sector-governance, ai-security-engineering | 60 days | Regulations and compliance evolve quarterly |
| Medium | platforms, copilot-extensibility, azure-ai-services, multi-modal, performance-scalability, monitoring-observability, agent-orchestration, data-engineering, api-management, hybrid-edge, bcdr, rag-architecture, mlops-genaiops, prompt-engineering | 90 days | Feature updates follow Azure release cycles |
| Low | architecture, development, patterns | 180 days | Foundational patterns change slowly |
Category-to-Skill Mapping
| Category | Skill Directory | File Count |
|---|---|---|
| rag-architecture | ms-ai-engineering | ~20 |
| azure-ai-services | ms-ai-engineering | ~25 |
| copilot-extensibility | ms-ai-engineering | ~15 |
| prompt-engineering | ms-ai-engineering | ~15 |
| data-engineering | ms-ai-engineering | ~20 |
| api-management | ms-ai-engineering | ~10 |
| agent-orchestration | ms-ai-engineering | ~15 |
| multi-modal | ms-ai-engineering | ~10 |
| mlops-genaiops | ms-ai-engineering | ~15 |
| performance-scalability | ms-ai-engineering | ~10 |
| monitoring-observability | ms-ai-engineering | ~10 |
| responsible-ai | ms-ai-governance | ~25 |
| norwegian-public-sector-governance | ms-ai-governance | ~25 |
| cost-optimization | ms-ai-security | ~15 |
| ai-security-engineering | ms-ai-security | ~15 |
| hybrid-edge | ms-ai-infrastructure | ~15 |
| bcdr | ms-ai-infrastructure | ~15 |
| platforms | ms-ai-advisor | ~20 |
| architecture | ms-ai-advisor | ~20 |
Operational Procedure
Regular Check (Monthly)
-
Run staleness check:
bash scripts/kb-staleness-check.sh --json --output kb-status.json -
Review stale files by priority:
bash scripts/kb-staleness-check.sh --priority-only -
Update critical/high priority files:
/architect:generate-skills --update --priority critical /architect:generate-skills --update --priority high
Quarterly Review
- Run full staleness report
- Update all medium+ priority files
- Review and archive obsolete files
- Update this policy if thresholds need adjustment
Update vs Regenerate
- Update (preferred): Preserves existing structure, updates facts/dates/URLs. Uses Edit tool.
- Regenerate: Full rewrite. Use when file structure is outdated or content is >50% stale.
Quality Gates
- Updated files must pass:
bash tests/validate-plugin.sh - Updated files must have "Verified (MCP {month})" markers on MCP-sourced facts
- Updated files must maintain 7-15 KB size range
- No broken links or stale Microsoft Learn URLs
Automation
The SessionStart hook (session-start-context.mjs) automatically reports KB staleness levels at session start. The kb-staleness-check.sh script supports both human-readable and JSON output formats for integration with CI/CD or monitoring.