feat(INST-AGI-MASTER-REF-WP-047) v1.0.0 — Institutional-Grade AGI/ASI & Enterprise AI Governance Master Reference (2026-2030)#82
Merged
Conversation
… & Enterprise AI Governance Master Reference (2026-2030)
WP-047 delivers a comprehensive, implementation-focused master reference for
Fortune 500, Global 2000, and G-SIFI institutions covering institutional-grade
AGI/ASI and enterprise AI governance across the 2026-2030 horizon.
Deliverables (per counts):
14 modules · 70 sections · 12 schemas · 16 code examples · 6 case studies
24 supervisory KPIs · 12 risk-control rows · 12 regulators · 7 workshops
6 data flows · 14 traceability rows · 3-phase 30/60/90-day rollout
5-year roadmap (2026-2030) · 8 audience-specific machine-readable artifact bundles
Machine-parsable <directive> block · R1..R4 regulator-ready reports
Modules:
M1 Multilayered Governance Pillars (Strategy/Risk/Controls/Assurance/
Transparency/Oversight/Continuity) + Roles (RACI, SMCR SMF) + SEV
escalation tree
M2 Regulatory Alignment crosswalk (EU AI Act Arts 9-72 + Annex IV, NIST
AI RMF + GAI Profile, ISO 42001/23894/5338/38507/27001/27701, GDPR
Arts 5/6/17/22/25/32/35, FCRA/ECOA, Basel III/IV Pillar 2, SR 11-7,
PRA SS1/23, FCA Consumer Duty + SMCR, MAS FEAT, HKMA SPM GS-1/GL-90,
EO 14110 + OMB M-24-10, OECD, G7, FSB)
M3 Enterprise Reference Architectures (Kafka WORM + ACL, Docker Swarm,
Node.js + Python sidecars, Next.js explainability portal, OPA,
Terraform golden envs + CI/CD)
M4 Sector MRM (credit underwriting, trading agent AlphaTrade-V9
pattern, enterprise risk, fiduciary advice, CRS-UUID-001 canonical
cross-jurisdiction credit system)
M5 Frontier AGI/ASI Safety (Sentinel v2.4, WorkflowAI Pro, Cognitive
Resonance Protocol Δ_drift ≤ 4% / latent ≤ 3% / cosine ≥ 0.92,
crisis simulations, Minimum Viable AGI Governance Stack — MVAGS)
M6 Global AI/Compute Governance Consortia (ICGC, GACRA, GASO, GFMCF,
GAICS, GAIVS, GACP, GATI, GACMO, FTEWS, GAI-SOC, GAIGA, GACRLS,
GFCO, GAID, GASCF) with firm obligations matrix
M7 Enterprise AI Governance Hub + AI Safety Report Generator +
WorkflowAI Pro (prompt registry, RBAC, audit, tracing, PDF export,
Firestore versioning, DAG visualization, Temporal.io workflows)
M8 Advanced Prompt Engineering Guide (foundations → structured output
→ retrieval/tool-use → judges/guardrails → evals → lifecycle)
M9 Civilizational Corpus (Constitution, Covenant Codex, Renewal Atlas,
Continuity Codex, Closing Charge, Kill-Switch Validation, Systemic
Risk Sim Playbook, Interop Treaty, Operating Model, Pilot Roadmap,
Coalition Activation, Institutional Adoption)
M10 Regulator-Ready Reports R1..R4 with <title>/<abstract>/<content>
tags (R1 Navigating Complexities of AI Safety and Global
Governance · R2 Technical Strategies for AI Alignment · R3 Key AI
Safety Challenges · R4 Navigating the AI Safety Landscape)
M11 Enterprise Implementation Blueprints (CI/CD policy gates, K8s/Kafka/
OPA stacks, Terraform golden envs, Kafka ACL, WORM, PQC WORM,
zk-SNARK access, OPA Rego, deterministic replay, drift analysis,
red teaming, Cognitive Resonance, SEV-0..SEV-3 IR checklists)
M12 Tiered (T1/T2/T3) Rollout Model with re-classification and frontier
escalation triggers
M13 30/60/90-Day Enterprise Plan with Day-90 MVAGS production exit
criteria and stakeholder sign-off
M14 2026-2030 Multi-Year Roadmap + Machine-Readable Artifacts per
audience (Engineering, Legal, C-Suite, Board, Regulator, EA, AI
Platform Engineering, AI Safety Research)
Machine-parsable <directive id=INST-AGI-MASTER-REF-WP-047 …>:
scope Enterprise|Frontier|ASI-Precursor|Sectoral-Credit|Sectoral-Trading|Fiduciary
pillars Strategy|Risk|Controls|Assurance|Transparency|Oversight|Continuity
reports R1..R4 with <title>/<abstract>/<content>
signing ML-DSA-44+ML-DSA-65 hybrid · Ed25519 · Sigstore+SLSA-L3+
Kafka+ObjectLock+MerkleAnchor+PQC
consortia ICGC|GACRA|GASO|GFMCF|GAICS|GAIVS|GACP|GATI|GACMO|FTEWS|
GAI-SOC|GAIGA|GACRLS|GFCO|GAID|GASCF
thresholds
piiLeakage 0.0001 · SEV-0 kill p95 ≤ 60s / BMC ≤ 5 min
fiduciaryCosine ≥ 0.92 · Δ_drift ≤ 4% · latent drift ≤ 3%
judgeLLM κ ≥ 0.9 · red-team T1 ≥ 95% · Annex IV ≤ 30 min
gradient anomaly z ≥ 3.5 · honeypot engagement > 10s → SEV-0
Files added:
rag-agentic-dashboard/gen-inst-agi-master-ref.py (~82 KB generator)
rag-agentic-dashboard/gen-inst-agi-master-ref-html.py (~12 KB renderer)
rag-agentic-dashboard/data/inst-agi-master-ref.json (89.7 KB data)
rag-agentic-dashboard/public/inst-agi-master-ref.html (91.4 KB dashboard;
93,594 bytes served)
rag-agentic-dashboard/server.js (+29 REST routes
under /api/inst-agi-master-ref/*)
Validation:
node -c server.js → SYNTAX OK
pm2 restart rag-dash → online (pid 2077584)
Positive endpoint checks: 42 × HTTP 200
Negative endpoint checks: 7 × HTTP 404
Dashboard: GET /inst-agi-master-ref.html → HTTP 200 (93,594 bytes)
Builds on WP-035..WP-046 lineage.
|
The files' contents are under analysis for test generation. |
|
Review these changes at https://app.gitnotebooks.com/OneFineStarstuff/OneFineStarstuff.github.io/pull/82 |
|
Review changes with Changed Files
|
|
The latest updates on your projects. Learn more about Vercel for GitHub.
|
![sourcery-ai[bot]](https://avatars.githubusercontent.com/in/48477?s=60&v=4){kind=small}
There was a problem hiding this comment.
Sorry @OneFineStarstuff, your pull request is larger than the review limit of 150000 diff characters
|
View changes in DiffLens |
![gstraccini[bot]](https://avatars.githubusercontent.com/in/480132?s=60&v=4){kind=small}
for more information, see https://pre-commit.ci
📝 WalkthroughWalkthroughIntroduces INST-AGI-MASTER-REF-WP-047, a comprehensive institutional-grade AGI/ASI governance framework for 2026–2030. Includes a Python generator script that builds a 2583-line JSON governance reference with 14 modules, supporting governance structures, KPI/risk matrices, and regulatory mappings; an HTML renderer script; a static HTML dashboard; and Express API routes exposing the framework programmatically. ChangesINST-AGI Master Reference Data Generation and Exposure
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Possibly related PRs
Suggested labels
Suggested reviewers
Poem
🚥 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)
Warning There were issues while running some tools. Please review the errors and either fix the tool's configuration or disable the tool if it's a critical failure. 🔧 ast-grep (0.42.1)rag-agentic-dashboard/server.jsThanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. Comment |
|
View changes in DiffLens |
Contributor
|
Failed to generate code suggestions for PR |
Not up to standards ⛔🔴 Issues
|
| Category | Results |
|---|---|
| Compatibility | 4 medium |
| UnusedCode | 1 medium |
| BestPractice | 49 minor |
| Documentation | 3 minor |
| ErrorProne | 3 high |
| CodeStyle | 38 minor |
| Complexity | 1 critical 1 minor |
🟢 Metrics 15 complexity · 13 duplication
Metric Results Complexity 15 Duplication 13
NEW Get contextual insights on your PRs based on Codacy's metrics, along with PR and Jira context, without leaving GitHub. Enable AI reviewer
TIP This summary will be updated as you push new changes.
|
View changes in DiffLens |
❌ Deploy Preview for onefinestarstuff failed.
|
![coderabbitai[bot]](https://avatars.githubusercontent.com/in/347564?s=60&v=4){kind=small}
There was a problem hiding this comment.
Actionable comments posted: 4
🧹 Nitpick comments (1)
rag-agentic-dashboard/gen-inst-agi-master-ref-html.py (1)
35-36: 💤 Low valueUnused function
render_list— optional cleanup.The
render_list()function is defined but never called in the HTML generation. Consider removing it to reduce clutter.🧹 Cleanup
-def render_list(items): - return "<ul>" + "".join(f"<li>{render_value(i)}</li>" for i in (items or [])) + "</ul>" - - # Modules mods_html = []🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@rag-agentic-dashboard/gen-inst-agi-master-ref-html.py` around lines 35 - 36, The function render_list defined as render_list(items) is unused and should be removed to reduce clutter; either delete the entire render_list definition or, if lists are needed in generated HTML, replace inline list building with a call to render_list from wherever list HTML is produced (referencing render_list by name) and ensure render_value is in scope if reused.
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@rag-agentic-dashboard/gen-inst-agi-master-ref.py`:
- Line 1222: The hardcoded "apiRoutes": 100 entry can drift from the real route
count in server.js; update the generation in gen-inst-agi-master-ref.py so the
apiRoutes value is derived from the assembled data (e.g., count the routes in
the same structure used to build the server), or if it truly must be fixed,
replace the literal with a clear comment explaining why it's fixed, or remove
the key entirely if unused; locate the "apiRoutes" key in the output-building
code and either compute it from the routes list/structure or add the clarifying
comment/removal as appropriate.
In `@rag-agentic-dashboard/public/inst-agi-master-ref.html`:
- Around line 46-47: The public HTML currently exposes confidential
classification and detailed internal signatories in the two <div class='meta'>
blocks (containing "INST-AGI-MASTER-REF-WP-047" and the long Owner: ... list);
sanitize this by removing or redacting the "CONFIDENTIAL" label and the full
signatory/owner list and replace them with a short, non-sensitive public notice
(e.g., document ID and "Internal governance information redacted" or link to
compliance contact), or move the full metadata to a non-public/internal asset
and ensure the public file only references that internal record.
- Line 81: The displayed API route count is wrong: locate the stat block showing
"<div class='v'>100</div><div class='l'>apiRoutes</div>" in
inst-agi-master-ref.html and change the value from 100 to 29 to match the PR's
29 /api/inst-agi-master-ref/* routes; if the value is generated dynamically,
update the generator or source that produces the apiRoutes count so it reports
29 rather than 100 and ensure any related test or documentation reflecting
apiRoutes is updated too.
In `@rag-agentic-dashboard/server.js`:
- Line 23360: Wrap the synchronous JSON import that assigns INSTAGIMR from
require('./data/inst-agi-master-ref.json') in a try/catch, so if require throws
(missing/malformed/unreadable file) you catch the error, log a clear error via
the server logger (including the caught error), and set INSTAGIMR to a safe
default (e.g., empty object/array or null) or trigger a controlled shutdown if
the app cannot function without it; ensure the code references the same symbol
INSTAGIMR and the require call so the change is easy to locate.
---
Nitpick comments:
In `@rag-agentic-dashboard/gen-inst-agi-master-ref-html.py`:
- Around line 35-36: The function render_list defined as render_list(items) is
unused and should be removed to reduce clutter; either delete the entire
render_list definition or, if lists are needed in generated HTML, replace inline
list building with a call to render_list from wherever list HTML is produced
(referencing render_list by name) and ensure render_value is in scope if reused.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
⚙️ Run configuration
Configuration used: defaults
Review profile: CHILL
Plan: Pro
Run ID: ec6cb670-3036-4888-9d9f-2a81c148aa89
📒 Files selected for processing (5)
rag-agentic-dashboard/data/inst-agi-master-ref.jsonrag-agentic-dashboard/gen-inst-agi-master-ref-html.pyrag-agentic-dashboard/gen-inst-agi-master-ref.pyrag-agentic-dashboard/public/inst-agi-master-ref.htmlrag-agentic-dashboard/server.js
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
|
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
3 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
WP-047 — Institutional-Grade AGI/ASI & Enterprise AI Governance Master Reference (2026-2030)
A comprehensive, implementation-focused master reference for Fortune 500, Global 2000, and G-SIFI institutions covering institutional-grade AGI/ASI and enterprise AI governance across the 2026-2030 horizon.
Deliverables
<directive>block · R1..R4 regulator-ready reportsModule Map
<title>/<abstract>/<content>tagsMachine-Parsable
<directive>Enterprise|Frontier|ASI-Precursor|Sectoral-Credit|Sectoral-Trading|FiduciaryStrategy|Risk|Controls|Assurance|Transparency|Oversight|Continuity<title>/<abstract>/<content>Files Added
gen-inst-agi-master-ref.pygen-inst-agi-master-ref-html.pydata/inst-agi-master-ref.jsonpublic/inst-agi-master-ref.htmlserver.js(modified)/api/inst-agi-master-ref/*REST API Routes (29)
/api/inst-agi-master-ref·/meta·/executive-summary·/summary·/counts·/regimes·/directive·/modules·/m1..m14·/modules/:id·/sections/:id·/kpis·/risk-control-matrix·/regulators·/workshops·/data-flows·/traceability·/privacy·/deployment·/schemas[/:id]·/code-examples[/:id]·/case-studies[/:id]·/rollout-90·/roadmap·/artifacts·/reportsValidation
node -c server.js→ SYNTAX OKpm2 restart rag-dash→ online (pid 2077584)GET /inst-agi-master-ref.html→ HTTP 200 (93,594 bytes)Lineage
Builds on WP-035 → WP-046 (ENT-AGI-GOV-MASTER, WFAP-GEMINI-IMPL, GSIFI-AIMS-BLUEPRINT, AGI-REG-RESILIENT, INST-AGI-MASTER, ENT-AGI-REF-IMPL, TIER13-FULLSTACK, SENTINEL-V24-DEEPDIVE, PROMPT-MGMT-ARCH, CEGL-LEXAI-GOV, AGI-ASI-MASTER-BP, AI-TRUST-ASI-BP).
Summary by CodeRabbit
Release Notes