feat(PRIO-IMPL-RESEARCH-PLAN-WP-050) v1.0.0 — Prioritized Implementation & Research Plan (2026-2030)#85
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…ion & Research Plan (2026-2030)
Adds WP-050: prioritized, phased implementation and research plan that
synthesizes WP-035..WP-049 into a single PMO-grade roadmap covering AI
safety research, global governance policy design, Enterprise AI
reference architecture, governance dashboards, security & DevSecOps
(Sigstore, OPA, zero-egress K8s, WORM), RAG program governance, EAIP
protocol design, CCaaS summarization with PETs, Prompt Architect,
model registry, threat-intelligence dashboards, telemetry &
interpretability, AGI/ASI governance simulations, and report-generation
workflows — with critical path, dependencies, KPIs, and OKR rollup.
Deliverables
============
* data/prio-impl-research-plan.json (85.4 KB) — 14 modules, 70
sections, 12 schemas, 16 code examples, 6 case studies, 24 KPIs, 12
risk-control rows, 12 regulators, 7 workshops, 6 data flows, 14
traceability rows, 3-phase 30/60/90, 5-year roadmap, evidencePack.
* public/prio-impl-research-plan.html (90.6 KB) — dark-themed
sticky-nav dashboard with directive + modules + KPIs + RCM + cases
+ roadmap.
* gen-prio-impl-research-plan.py (71,775 chars) — deterministic
data generator.
* gen-prio-impl-research-plan-html.py (11,538 chars) — HTML renderer.
* server.js — 28 endpoints under /api/prio-impl-research-plan/*
including /m1../m14, /modules/:id, /sections/:id, /schemas[/:id],
/code-examples[/:id], /case-studies[/:id], /kpis,
/risk-control-matrix, /regulators, /workshops, /data-flows,
/traceability, /privacy, /deployment, /rollout-90, /roadmap,
/evidence-pack.
Plan Structure
==============
* 5 phases (P0..P4) over 30/90/180/365/1825 days
* 14 tracks (AI Safety, Global Governance, RefArch, Dashboards,
DevSecOps, RAG Gov, EAIP, CCaaS-PETs, Prompt Architect, Model
Registry, Threat-Intel, Telemetry, AGI Sims, Reports)
* 56 work items
* 17 critical-path items
* 72 dependency edges
* Phase-gate Rego policy + CPM dependency graph
Module Lineup (14)
==================
M1 Plan Overview, Phases & Critical Path
M2 AI Safety Research Plan (alignment, deception, interp, frontier evals)
M3 Global Governance Policy Design (treaty, Constitution, Codex,
Sanctions, Cert, GIEN, ICGC)
M4 Enterprise AI Reference Architecture (OPA, proxies, Kafka WORM,
PQC KMS, EKS zero-trust, Kata, Cilium)
M5 Governance Dashboards (Board, MRM, Sentinel, Kill-switch, Prompt
Architect, Registry, Threat-Intel, Transparency, Treaty)
M6 Security & DevSecOps (Sigstore, OPA, zero-egress K8s, WORM,
Vault-PQC, Falco, LLM-judge)
M7 RAG Program Governance (catalogue, ACL, residency, taint, lineage)
M8 EAIP Protocol Design (envelope, signing, streaming, capability
ticket, conformance, RFC)
M9 CCaaS Summarization with PETs (DP, secure aggregation, TEE,
redaction, K-anonymity)
M10 Prompt Architect (templating, variables, VCS, testing, sharing,
refusal lattice)
M11 Model Registry (manifest, lineage, tiering, evidence, 3rd party,
decommission)
M12 Threat-Intel + Telemetry & Interpretability (feed, probing,
activation patching, OTel-GenAI)
M13 AGI/ASI Governance Simulations (SRASE personas, CSE-X, break
harness, AISI joint drills)
M14 Report-Generation Workflows (Annex IV, SR 11-7, FCA, MAS, HKMA,
RPCO, Board tile, Treaty annex) + critical-path summary
Validation
==========
* node -c server.js -> SYNTAX OK
* 28 endpoints under /api/prio-impl-research-plan/* registered
* PM2 restart -> rag-dash online
* Endpoint sweep: 43 x HTTP 200 (positive) + 7 x HTTP 404 (negative)
= 50/50 passing
* Live dashboard: http://localhost:4200/prio-impl-research-plan.html
-> HTTP 200, 92,764 bytes served
Builds on WP-035..WP-049 lineage.
Classification: Regulator/Auditor/Board-Grade.
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📝 WalkthroughWalkthroughThis PR introduces WP-050, a comprehensive "Prioritized Implementation & Research Plan" document as a machine-consumable JSON schema, a Python generator that builds the JSON, an HTML rendering script that transforms it into a styled dashboard, the resulting static HTML page, and Express API routes that expose the complete plan structure via REST endpoints. ChangesComplete WP-050 Plan Stack
Sequence Diagram(s)The generation and rendering flows are complex multi-step transformations. The diagrams in the hidden review stack illustrate the data construction (generator), transformation pipeline (HTML renderer), and REST exposure (server routes). Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Possibly related PRs
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🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
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Not up to standards ⛔🔴 Issues
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| Category | Results |
|---|---|
| BestPractice | 11 minor |
| Documentation | 5 minor |
| ErrorProne | 1 medium |
| CodeStyle | 80 minor |
| Complexity | 1 critical 1 minor |
| Comprehensibility | 1 minor |
🟢 Metrics 15 complexity · 19 duplication
Metric Results Complexity 15 Duplication 19
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Actionable comments posted: 2
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Verify each finding against current code. Fix only still-valid issues, skip the
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Inline comments:
In `@rag-agentic-dashboard/gen-prio-impl-research-plan-html.py`:
- Line 8: The code writes the confidential research plan to a public static
target via the OUT variable (OUT = ROOT / "public" /
"prio-impl-research-plan.html"), which exposes classified content; change the
generation to either (a) write to a non-public/gated output (replace OUT with a
private/artifacts path or a storage mechanism that requires auth) or (b)
remove/strip confidential fields at render time before writing (identify the
renderer that produces the confidential classification and filter those fields),
and ensure any web-serving configuration only serves this artifact behind
authenticated/authorized routes.
In `@rag-agentic-dashboard/gen-prio-impl-research-plan.py`:
- Around line 1087-1102: The DOC["counts"] block currently hard-codes
"apiRoutes": 100; replace that hard-coded value with a computed count of the
actual API route collection (e.g., use len(api_routes) or len(routes) or compute
sum(1 for r in app.router.routes) depending on how routes are defined in this
module) so the "apiRoutes" entry reflects the real surface; update the
"apiRoutes" assignment in the DOC["counts"] dict (the key "apiRoutes" in this
block) to use the appropriate len(...) expression referencing the project's
route list/registry.
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📒 Files selected for processing (5)
rag-agentic-dashboard/data/prio-impl-research-plan.jsonrag-agentic-dashboard/gen-prio-impl-research-plan-html.pyrag-agentic-dashboard/gen-prio-impl-research-plan.pyrag-agentic-dashboard/public/prio-impl-research-plan.htmlrag-agentic-dashboard/server.js
Micro-Learning Topic: Cross-site scripting (Detected by phrase)Matched on "XSs"Cross-site scripting vulnerabilities occur when unescaped input is rendered into a page displayed to the user. When HTML or script is included in the input, it will be processed by a user's browser as HTML or script and can alter the appearance of the page or execute malicious scripts in their user context. Try a challenge in Secure Code WarriorHelpful references
Micro-Learning Topic: External entity injection (Detected by phrase)Matched on "XXE"An XML External Entity attack is a type of attack against an application that parses XML input. This attack occurs when XML input containing a reference to an external entity is processed by a weakly configured XML parser. This attack may lead to the disclosure of confidential data, denial of service, server-side request forgery, port scanning from the perspective of the machine where the parser is located, and other system impacts. Try a challenge in Secure Code WarriorHelpful references
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May 15, 2026
…am 2026 (sprint-level WBS, RACI, OKRs, budget, hire plan, gate evidence) Operationalizes WP-050's Prioritized Implementation & Research Plan into a 26-sprint executable program for FY2026 with phase gates G0..G4, RACI, OKRs, quarterly budget envelopes, hire plan, vendor/build decisions, and PMO controls across 14 tracks. Doc ref: EXEC-DELIVERY-PROGRAM-WP-051 Version: 1.0.0 Horizon: FY2026-FY2030 (sprint cadence FY2026) API prefix: /api/exec-delivery-program Modules (14): M1 — Program Overview, Phase Gates & Sprint Calendar (S1..S26) M2 — AI Safety Research WBS & Lab Operations M3 — Global Governance Policy WBS & Treaty Operations M4 — Enterprise AI Reference Architecture — Engineering WBS M5 — Governance Dashboards UI — Engineering WBS M6 — Security & DevSecOps WBS (Sigstore, OPA, Zero-Egress, WORM, PQC) M7 — RAG Program Governance WBS M8 — EAIP Protocol Design WBS M9 — CCaaS Summarization with PETs WBS M10 — Prompt Architect Features WBS M11 — Model Registry Engineering WBS M12 — Threat-Intel + Telemetry & Interpretability WBS M13 — AGI/ASI Governance Simulations WBS (SRASE, CSE-X, WG-01..06) M14 — Report-Generation Workflows + Cross-Cutting Critical Path Structure: - 70 sections; 12 schemas; 16 code examples; 6 case studies - 24 KPIs; 12 risk-control rows; 12 regulators; 7 workshops - 6 data flows; 14 traceability rows; 3-phase 30/60/90; 5-year roadmap - 5 phase gates G0..G4 with signed Merkle evidence packs - 17 critical-path items (CP-01..CP-17) tied to gate ownership/RACI Deliverables: - gen-exec-delivery-program.py (1234 lines) → data/exec-delivery-program.json (70.7 KB) - gen-exec-delivery-program-html.py (283 lines) → public/exec-delivery-program.html (75.2 KB) - server.js: 28 routes under /api/exec-delivery-program/* (incl. /m1../m14, /evidence-pack) Validation: - node -c server.js → SYNTAX OK - PM2 rag-dash restart → HTTP 200, 76995 bytes served on /exec-delivery-program.html - Endpoint validation: 45 × HTTP 200 + 7 × HTTP 404 = 52/52 passing, 0 failures Standards & frameworks referenced: EU AI Act 2026 + Annex IV · NIST AI RMF · ISO/IEC 42001 · SR 11-7 · Basel III/IV PRA/FCA/SMCR · MAS FEAT · HKMA GL-90 · DORA · NIS2 · US EO 14110 · OECD AI Principles GDPR · G7 Hiroshima/Bletchley/Seoul · CoE AI Convention · FSB · FIPS 203/204 · SLSA L3+ Builds on: WP-035..WP-050 (PR #85 WP-050 merged into main as b14a71d)
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feat(PRIO-IMPL-RESEARCH-PLAN-WP-050) v1.0.0 — Prioritized Implementation & Research Plan (2026-2030)
Overview
WP-050 delivers a phased, dependency-aware Prioritized Implementation & Research Plan synthesizing WP-035..WP-049 across 14 tracks spanning AI Safety Research, Global Governance Policy, Enterprise AI Reference Architecture, Governance Dashboards, Security & DevSecOps, RAG Program Governance, EAIP Protocol Design, CCaaS+PETs, Prompt Architect, Model Registry, Threat-Intel + Telemetry & Interpretability, AGI/ASI Governance Simulations, and Report Workflows.
PRIO-IMPL-RESEARCH-PLAN-WP-050/api/prio-impl-research-planPlan Structure
14 Modules
Deliverables
gen-prio-impl-research-plan.py(71,775 chars) →data/prio-impl-research-plan.json(85.4 KB)gen-prio-impl-research-plan-html.py(11,538 chars) →public/prio-impl-research-plan.html(90.6 KB)server.js— 28 routes under/api/prio-impl-research-plan/*(incl./m1../m14,/evidence-pack)Validation
node -c server.js→ SYNTAX OKGET /prio-impl-research-plan.html→ HTTP 200, 92,764 bytesStandards & Frameworks Referenced
EU AI Act 2026 · NIST AI RMF · ISO/IEC 42001 · SR 11-7 · Basel III · PRA/FCA/MAS/HKMA · EO 14110 · OECD · GDPR · FIPS 203/204 · FIPS 140-3 · SLSA L3+ · in-toto · Sigstore · OPA · Gatekeeper · Kyverno
Git
genspark_ai_developer39ec97b8origin/main(adca816c..e8261d0c)Builds On
Summary by CodeRabbit