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feat(CIV-AI-GOV-6L-CRS-WP-032) v1.0.0 — Six-Layer Civilizational AI Governance Blueprint for Credit Risk Scoring (CRS-UUID-001)#58

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feat(CIV-AI-GOV-6L-CRS-WP-032) v1.0.0 — Six-Layer Civilizational AI Governance Blueprint for Credit Risk Scoring (CRS-UUID-001)#58
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@OneFineStarstuff OneFineStarstuff commented Apr 23, 2026

Summary

Six-layer Civilizational AI Governance Blueprint for the Credit Risk Scoring AI system CRS-UUID-001 at Global Bank plc (PRA-regulated, EU AI Act Annex III §5(b) high-risk). Delivers a regulator-ready, treaty-aligned governance package with ready-to-use templates, simulation frameworks, cryptographic evidence manifests, supervisory protocols, and treaty-governance artefacts.

Deliverables (rag-agentic-dashboard/)

File Size Purpose
data/civ-ai-gov-6l-crs.json 72 KB Knowledge base: 6 layers, 13 simulations, 12 OPA policies, 14 CI/CD gates, 9 evidence bundles, 8 HSRs, 12 treaty articles, 5 schemas, 6 code examples
gen-civ-ai-gov-6l-crs.py 72 KB Idempotent JSON generator
gen-civ-ai-gov-6l-crs-html.py 52 KB HTML dashboard renderer
public/civ-ai-gov-6l-crs.html 104 KB / 1,121 lines Interactive dashboard (6 layers, 15 sections)
server.js +171 lines 60 new /api/civ-ai-gov-6l/* endpoints

Six Governance Layers

  1. L1 Institutional — SR 11-7 MRM, ISO/IEC 42001 AIMS, EU AI Act Annex IV, FCRA/ECOA/GDPR.
  2. L2 Systemic — PRA/FCA/OCC coordination, ICAAP Pillar-2 capital impact, MRM college oversight.
  3. L3 Frontier Compute — training compute register, kill-switch custody, model-weight custody, GPU-hour attestations.
  4. L4 Geopolitical TreatyGAGCOT charter with GC1-GC7 crisis simulations.
  5. L5 Autonomous Governance Mesh — OPA/Rego policy-as-code, CI/CD gates, runtime enforcement, cryptographic evidence bundles.
  6. L6 Adversarial Co-Evolution — red-teaming, threat-intel, kill-chain playbooks.

GC1-GC7 Treaty-Level Simulations

GC1 Cross-Border Capability Shock · GC2 Systemic Fairness Divergence · GC3 Compute-Supply Disruption · GC4 Adversarial Data-Poisoning Campaign · GC5 Autonomous-Agent Containment Failure · GC6 Model-Weight Compromise · GC7 Governance Dissolution Threat.

Regulator-Ready Artefacts

  • Annex IV dossier (9 sections: CRS-UUID-001-ANNEXIV-v4.2)
  • Independent Model Validation (IMV) report — 0 high-severity findings
  • Capital Impact Assessment (ICAAP Pillar-2)
  • ISO/IEC 42001 AIMS evidence
  • 9 cryptographic evidence bundles (EB-001 to EB-009)
  • 8 Harmonised Supervisory Reports (HSR-01 to HSR-08)
  • 12 OPA/Rego policies + 14 CI/CD gates (Annex IV completeness, 4/5 fairness, PSI drift, adverse-action, Art. 22, kill-switch, IMV independence, Art. 73 SLA, Consumer Duty)

Regulatory Backbone

EU AI Act (Annex IV) · SR 11-7 · Basel III / ICAAP · ISO/IEC 42001 · GDPR · FCRA/ECOA · GAGCOT Treaty Charter · Art. 73 SLAs.

Validation

  • node -c server.js — SYNTAX OK
  • PM2 restart clean; all 6 layer roots return HTTP 200 with correct titles
  • GC1-GC7 endpoints verified; 404 handling for GC99 / P-999 confirmed
  • HTML dashboard (/civ-ai-gov-6l-crs.html, 106 KB) contains all 6 layer IDs
  • 60 /api/civ-ai-gov-6l/* routes live alongside prior 63 /api/civ-ai-gov/* (WP-031) routes

Live

Commit

8766ebd8 — feat(CIV-AI-GOV-6L-CRS-WP-032) v1.0.0 (5 files, +5,176 insertions)

Summary by CodeRabbit

  • New Features
    • Added a comprehensive 6-layer governance framework for credit-risk scoring systems, including institutional controls, supervisory coordination, compute governance, treaty overlays, and autonomous policy enforcement.
    • New interactive dashboard for viewing governance structures, compliance evidence, capital impact assessments, and validation reports across all governance layers.
    • New API endpoints for accessing governance data, layers, simulations, schemas, and compliance artifacts.

…overnance Blueprint for Credit Risk Scoring (CRS-UUID-001)

Adds a comprehensive, regulator-ready governance blueprint for the Credit Risk
Scoring AI system (CRS-UUID-001) at Global Bank plc, structured across six
governance layers with treaty-level crisis simulations and cryptographic
evidence bundles.

Deliverables:
- data/civ-ai-gov-6l-crs.json (72 KB): 6 layers, 13 simulations (incl. GC1-GC7),
  12 OPA/Rego policies, 14 CI/CD gates, 9 evidence bundles, 8 HSRs,
  12 treaty articles, 5 schemas, 6 code examples.
- gen-civ-ai-gov-6l-crs.py (72 KB): idempotent JSON generator.
- gen-civ-ai-gov-6l-crs-html.py (52 KB): HTML dashboard renderer.
- public/civ-ai-gov-6l-crs.html (104 KB, 1,121 lines): interactive dashboard.
- server.js (+171 lines): adds 60 new /api/civ-ai-gov-6l/* endpoints.

Six governance layers:
L1 Institutional (bank-internal): SR 11-7 MRM, ISO/IEC 42001 AIMS,
   EU AI Act Annex IV technical documentation, FCRA/ECOA/GDPR conduct.
L2 Systemic: PRA/FCA/OCC coordination, ICAAP Pillar-2 capital impact,
   MRM college oversight.
L3 Frontier Compute: training compute register, kill-switch custody,
   model-weight custody, GPU-hour attestations.
L4 Geopolitical Treaty: GAGCOT charter with GC1-GC7 crisis simulations.
L5 Autonomous Governance Mesh: OPA/Rego policy-as-code, CI/CD gates,
   runtime enforcement, cryptographic evidence bundles.
L6 Adversarial Co-Evolution: red-teaming, threat-intel, kill-chain playbooks.

Regulatory backbone: EU AI Act (Annex IV), SR 11-7, Basel III / ICAAP,
ISO/IEC 42001, GDPR, FCRA/ECOA, GAGCOT treaty charter, Art. 73 SLAs.

GC1-GC7 treaty-level simulations: Cross-border capability shock,
systemic fairness divergence, compute-supply disruption, adversarial
data-poisoning, autonomous-agent containment failure, model-weight
compromise, governance dissolution threat.
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The files' contents are under analysis for test generation.

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semanticdiff-com Bot commented Apr 23, 2026

Review changes with  SemanticDiff

Changed Files
File Status
  rag-agentic-dashboard/data/civ-ai-gov-6l-crs.json  0% smaller
  rag-agentic-dashboard/gen-civ-ai-gov-6l-crs-html.py  0% smaller
  rag-agentic-dashboard/gen-civ-ai-gov-6l-crs.py  0% smaller
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Sorry @OneFineStarstuff, your pull request is larger than the review limit of 150000 diff characters

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coderabbitai Bot commented Apr 23, 2026

📝 Walkthrough

Walkthrough

Introduces a comprehensive six-layer governance framework for CRS-UUID-001 through a new JSON artifact, two generator scripts, and expanded API endpoints. The system documents institutional controls, supervisory coordination, compute governance, geopolitical treaty overlays, autonomous governance meshes, and adversarial co-evolution programs with supporting simulations, schemas, and code examples.

Changes

Cohort / File(s) Summary
Data and Generator Core
data/civ-ai-gov-6l-crs.json, gen-civ-ai-gov-6l-crs.py
Introduces structured governance JSON artifact for CRS-UUID-001 with 6-layer compliance framework (L1–L6), crisis governance scenarios, autonomous mesh policies, simulations, and capital impact assessments. Python generator script builds the complete data model programmatically, including institutional controls, supervisory coordination, compute governance, treaty overlays, and adversarial programs.
HTML Dashboard Generator
gen-civ-ai-gov-6l-crs-html.py
Converts governance JSON into regulator-ready HTML dashboard with embedded CSS, navigation, table-of-contents, per-section renderers for all 6 layers plus annexes, schema documentation, code examples, and IntersectionObserver-based active section highlighting.
API Server
server.js
Exposes new /api/civ-ai-gov-6l REST surface with root/meta/executive-summary/subject endpoints, computed summary aggregation, dynamic layer enumeration, parameterized detail endpoints for each layer (L1–L6) and cross-cutting resources (simulations, capital-impact, validation-report), schema/code-example inventory, and JSON error responses for missing items.

Estimated code review effort

🎯 5 (Critical) | ⏱️ ~90+ minutes

Suggested labels

enhancement, Review effort [1-5]: 5

Suggested reviewers

  • gstraccini

Poem

🐰 Hops of governance, layers so deep—
Six tiers of wisdom the regulators keep,
From risk to treaty, from mesh to the cloud,
This framework's so mighty, so structured, so proud!
🏛️ JSON dances with Python's keen hand,
Building compliance across the fair land!

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 10.00% which is insufficient. The required threshold is 80.00%. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The title directly and accurately summarizes the main change: introduction of a six-layer governance blueprint (CIV-AI-GOV-6L-CRS) for a credit risk scoring system, with specific version and UUID identifiers matching the changeset's core deliverables.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.

✏️ Tip: You can configure your own custom pre-merge checks in the settings.

✨ Finishing Touches
📝 Generate docstrings
  • Create stacked PR
  • Commit on current branch
🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Commit unit tests in branch genspark_ai_developer

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Not up to standards ⛔

🔴 Issues 1 critical · 14 medium · 85 minor

Alerts:
⚠ 100 issues (≤ 0 issues of at least minor severity)

Results:
100 new issues

Category Results
Compatibility 5 medium
Documentation 5 minor
ErrorProne 1 medium
CodeStyle 80 minor
Complexity 1 critical
8 medium

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🟢 Metrics 39 complexity · 3 duplication

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Duplication 3

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Actionable comments posted: 4

🧹 Nitpick comments (5)
rag-agentic-dashboard/server.js (3)

20795-20799: Minor: param name :id matched against gate field is confusing.

ciCdGates are looked up by the gate field but the route uses :id, while neighboring handlers (opaPolicies, evidenceBundles) genuinely match on an id field. Consider renaming the path param to :gate (or standardizing the underlying JSON on an id field) so callers aren't misled about what identifier the endpoint expects.

🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@rag-agentic-dashboard/server.js` around lines 20795 - 20799, Rename the route
parameter so it reflects the field being matched: change the GET path from
'/api/civ-ai-gov-6l/l5/ci-cd-gates/:id' to use ':gate' and update the handler to
read req.params.gate when searching CIV_6L.L5_autonomousMesh.ciCdGates (or
alternatively, standardize the ciCdGates objects to have an id property and
change the lookup in the handler to compare x.id === req.params.id); update any
caller/tests to use the new param name if needed.

20696-20715: Defensive access in /summary to avoid 500s if dataset evolves.

Several property chains are dereferenced without guards (e.g., CIV_6L.simulations.length, CIV_6L.L5_autonomousMesh.opaPolicies.length, CIV_6L.L2_systemic.harmonizedSupervisoryReports.length, CIV_6L.L4_geopoliticalTreaty.gagcot.articles.length, CIV_6L.schemas, CIV_6L.codeExamples, CIV_6L.meta.regulatoryCoverage.length). Only gcScenarios has a || [] fallback. If any future regeneration of civ-ai-gov-6l-crs.json omits one of these (or renames a key), this endpoint will throw and return a 500 instead of a partial summary. Consider normalizing with ?. + || []/|| {} the way you did for gcScenarios.

♻️ Suggested hardening
-    simulations:       CIV_6L.simulations.length,
+    simulations:       (CIV_6L.simulations || []).length,
     gcScenarios:       (CIV_6L.L4_geopoliticalTreaty.gcScenarios || []).length,
-    opaPolicies:       CIV_6L.L5_autonomousMesh.opaPolicies.length,
-    ciCdGates:         CIV_6L.L5_autonomousMesh.ciCdGates.length,
-    evidenceBundles:   CIV_6L.L5_autonomousMesh.evidenceBundles.length,
-    supervisoryReports:CIV_6L.L2_systemic.harmonizedSupervisoryReports.length,
-    treatyArticles:    CIV_6L.L4_geopoliticalTreaty.gagcot.articles.length,
-    schemas:           Object.keys(CIV_6L.schemas).length,
-    codeExamples:      Object.keys(CIV_6L.codeExamples).length,
-    regulatoryCoverage:CIV_6L.meta.regulatoryCoverage.length,
+    opaPolicies:       (CIV_6L.L5_autonomousMesh?.opaPolicies || []).length,
+    ciCdGates:         (CIV_6L.L5_autonomousMesh?.ciCdGates || []).length,
+    evidenceBundles:   (CIV_6L.L5_autonomousMesh?.evidenceBundles || []).length,
+    supervisoryReports:(CIV_6L.L2_systemic?.harmonizedSupervisoryReports || []).length,
+    treatyArticles:    (CIV_6L.L4_geopoliticalTreaty?.gagcot?.articles || []).length,
+    schemas:           Object.keys(CIV_6L.schemas || {}).length,
+    codeExamples:      Object.keys(CIV_6L.codeExamples || {}).length,
+    regulatoryCoverage:(CIV_6L.meta?.regulatoryCoverage || []).length,
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@rag-agentic-dashboard/server.js` around lines 20696 - 20715, The
/api/civ-ai-gov-6l/summary handler dereferences many nested properties without
guards causing potential 500s; update the route (the app.get callback) to
defensively access fields like CIV_6L.simulations,
CIV_6L.L5_autonomousMesh.opaPolicies, CIV_6L.L5_autonomousMesh.ciCdGates,
CIV_6L.L5_autonomousMesh.evidenceBundles,
CIV_6L.L2_systemic.harmonizedSupervisoryReports,
CIV_6L.L4_geopoliticalTreaty.gagcot.articles, CIV_6L.schemas,
CIV_6L.codeExamples and CIV_6L.meta.regulatoryCoverage using optional chaining
and sensible fallbacks (e.g., ?.length || 0 or || {} / || []) so each summary
field returns a safe default instead of throwing; keep the response keys
(docRef, version, classification, subjectModelId, layers, simulations,
gcScenarios, opaPolicies, ciCdGates, evidenceBundles, supervisoryReports,
treatyArticles, schemas, codeExamples, regulatoryCoverage) unchanged.

20733-20840: Optional: DRY the repeated find-by-id + 404 pattern.

The file now has ~8 near-identical handlers doing collection.find(x => x.<key> === param) + 404 response. A tiny helper would cut noise and make the 404 shape consistent:

const findOr404 = (res, list, pred, what, idVal) => {
  const item = (list || []).find(pred);
  if (!item) { res.status(404).json({ error: `${what} not found`, id: idVal }); return null; }
  return item;
};

Then e.g.:

app.get('/api/civ-ai-gov-6l/l5/opa-policies/:id', (req, res) => {
  const p = findOr404(res, CIV_6L.L5_autonomousMesh.opaPolicies,
    x => x.id === req.params.id, 'policy', req.params.id);
  if (p) res.json(p);
});

Non-blocking; purely a readability/maintainability suggestion.

🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@rag-agentic-dashboard/server.js` around lines 20733 - 20840, Repeated
find-and-404 handlers (e.g., in routes using
CIV_6L.L2_systemic.harmonizedSupervisoryReports,
CIV_6L.L4_geopoliticalTreaty.gagcot.articles,
CIV_6L.L4_geopoliticalTreaty.gcScenarios,
CIV_6L.L5_autonomousMesh.opaPolicies/ciCdGates/evidenceBundles,
CIV_6L.simulations, CIV_6L.schemas, CIV_6L.codeExamples, and the
annexIvDossier.section lookup) should be DRYed into a small helper: add a
function named findOr404(res, list, pred, what, idVal) that returns the found
item or sends the consistent 404 JSON and returns null; then update each route
handler (e.g., the handlers using .find(...) for harmonizedSupervisoryReports,
articles, gcScenarios, opaPolicies, ciCdGates, evidenceBundles, simulations,
schemas, code-examples, and annex-iv sections) to call findOr404 and only
res.json(...) when it returns a non-null item (i.e., early-return on null) so
all 404 logic is centralized and consistent.
rag-agentic-dashboard/gen-civ-ai-gov-6l-crs-html.py (1)

9-11: Use a context manager for JSON load and ensure output directory exists.

json.load(open(...)) leaks the file handle if an exception is raised, and OUT.write_text(...) at Line 924 will raise FileNotFoundError if rag-agentic-dashboard/public/ does not yet exist (idempotency is otherwise a goal of this generator per the PR description).

♻️ Proposed refactor
 HERE = Path(__file__).parent
-DATA = json.load(open(HERE / "data" / "civ-ai-gov-6l-crs.json"))
 OUT  = HERE / "public" / "civ-ai-gov-6l-crs.html"
+with open(HERE / "data" / "civ-ai-gov-6l-crs.json", encoding="utf-8") as f:
+    DATA = json.load(f)
+OUT.parent.mkdir(parents=True, exist_ok=True)
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@rag-agentic-dashboard/gen-civ-ai-gov-6l-crs-html.py` around lines 9 - 11, The
current top-level constants HERE, DATA and OUT use json.load(open(...)) which
can leak file handles and OUT.write_text(...) can fail if the output directory
doesn't exist; replace the open(...) call with a with open(HERE / "data" /
"civ-ai-gov-6l-crs.json", "r") as f: and assign DATA = json.load(f) to ensure
the file is closed, and before writing with OUT.write_text(...) ensure the
parent directory exists by creating OUT.parent.mkdir(parents=True,
exist_ok=True) so the generator is idempotent; update references to HERE, DATA
and OUT accordingly.
rag-agentic-dashboard/gen-civ-ai-gov-6l-crs.py (1)

308-339: entrySchema disagrees with the real JSON Schema and with the sample crsEntry.

  • entrySchema["flopsTotal"] is documented as "integer" but crsEntry["flopsTotal"] = 4.2e18 is a float (and schemas["computeRegisterEntry"].properties.flopsTotal at Line 730 correctly declares "type": "number").
  • entrySchema lists startedAt/endedAt/providerAccount which are not in the authoritative computeRegisterEntry schema required/properties at Line 722.

Since entrySchema is rendered verbatim on the dashboard as the "Compute Register entry", it should either be removed (the authoritative schema is already exposed under /api/civ-ai-gov-6l/schemas/computeRegisterEntry) or regenerated from the authoritative schema to stay in sync.

🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@rag-agentic-dashboard/gen-civ-ai-gov-6l-crs.py` around lines 308 - 339, The
embedded entrySchema block is inconsistent with the authoritative
computeRegisterEntry schema and the sample crsEntry: update or remove
entrySchema so the dashboard shows accurate data — either (A) remove the
entrySchema object entirely (since
/api/civ-ai-gov-6l/schemas/computeRegisterEntry is authoritative), or (B)
regenerate entrySchema from the canonical
schemas["computeRegisterEntry"].properties so types align (e.g., flopsTotal must
be "number" not "integer") and extraneous fields
(startedAt/endedAt/providerAccount) are either added to the authoritative
computeRegisterEntry schema or omitted from entrySchema to match
computeRegisterEntry; reference the entrySchema, crsEntry and
schemas["computeRegisterEntry"].properties.flopsTotal symbols when making the
change.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.

Inline comments:
In `@rag-agentic-dashboard/gen-civ-ai-gov-6l-crs-html.py`:
- Around line 884-898: The API section header currently hardcodes "70+" in
api_html which misrepresents the actual routes; update the template to show the
real count by computing a numeric api_count (e.g., count the entries used to
build api_rows_html or the canonical route list used elsewhere) and interpolate
it into the heading (replace the literal "70+" with f"{api_count}" or a rounded
display like f"{api_count}+"), or remove the "70+" claim entirely; ensure the
source of truth is the same route list used to build api_rows_html so endpoints
added in server.js (e.g., l1/roles, l2/supervisors, l3/gpu-attestations, etc.)
are included in the count.

In `@rag-agentic-dashboard/gen-civ-ai-gov-6l-crs.py`:
- Around line 578-601: The JSON Schema evidenceManifestSchema contains a bad
merkleRoot regex that includes a U+2026 ellipsis; replace the pattern
"^sha3-256:[0-9a-f…]+$" with a strict pattern matching real SHA3-256 hex (e.g.
"^sha3-256:[0-9a-f]{64}$" or at minimum "^sha3-256:[0-9a-f]+$") in
evidenceManifestSchema and in the replicated schemas["evidenceManifest"], and
update any example merkleRoot values in the evidenceBundles sample to full
64-hex-character hashes (or clearly mark them as non-normative placeholders) so
the schema and the OPA/rego gate use the same valid format.
- Around line 792-825: The regoAnnexIvGate policy contains a bad startswith(s,
_) call and an unused present_sections binding; update the policy by replacing
the startswith(s, _) comprehension (used to build present_sections) with a valid
predicate such as regex.match("^[0-9]+\\.", s) to extract numeric section
prefixes, or remove present_sections entirely if not needed, and then either use
present_sections in the allow/deny logic or delete its definition; ensure
missing_sections and merkle_invalid (and their use in allow/deny) remain intact
and that the merkle root check in merkle_invalid stays a valid regex match.

In `@rag-agentic-dashboard/server.js`:
- Around line 20767-20774: In the route handler
app.get('/api/civ-ai-gov-6l/l4/articles/:id') the normalization that builds key
(String(req.params.id).toLowerCase().replace(/[^\d]/g, '')) can produce an empty
string and then incorrectly match entries whose article also normalizes to ''.
Add a short-circuit after computing key: if key === '' return
res.status(404).json({ error: 'article not found', id: req.params.id }); so the
subsequent lookup against CIV_6L.L4_geopoliticalTreaty.gagcot.articles only runs
for non-empty keys and prevents returning unintended preamble/annex entries.

---

Nitpick comments:
In `@rag-agentic-dashboard/gen-civ-ai-gov-6l-crs-html.py`:
- Around line 9-11: The current top-level constants HERE, DATA and OUT use
json.load(open(...)) which can leak file handles and OUT.write_text(...) can
fail if the output directory doesn't exist; replace the open(...) call with a
with open(HERE / "data" / "civ-ai-gov-6l-crs.json", "r") as f: and assign DATA =
json.load(f) to ensure the file is closed, and before writing with
OUT.write_text(...) ensure the parent directory exists by creating
OUT.parent.mkdir(parents=True, exist_ok=True) so the generator is idempotent;
update references to HERE, DATA and OUT accordingly.

In `@rag-agentic-dashboard/gen-civ-ai-gov-6l-crs.py`:
- Around line 308-339: The embedded entrySchema block is inconsistent with the
authoritative computeRegisterEntry schema and the sample crsEntry: update or
remove entrySchema so the dashboard shows accurate data — either (A) remove the
entrySchema object entirely (since
/api/civ-ai-gov-6l/schemas/computeRegisterEntry is authoritative), or (B)
regenerate entrySchema from the canonical
schemas["computeRegisterEntry"].properties so types align (e.g., flopsTotal must
be "number" not "integer") and extraneous fields
(startedAt/endedAt/providerAccount) are either added to the authoritative
computeRegisterEntry schema or omitted from entrySchema to match
computeRegisterEntry; reference the entrySchema, crsEntry and
schemas["computeRegisterEntry"].properties.flopsTotal symbols when making the
change.

In `@rag-agentic-dashboard/server.js`:
- Around line 20795-20799: Rename the route parameter so it reflects the field
being matched: change the GET path from '/api/civ-ai-gov-6l/l5/ci-cd-gates/:id'
to use ':gate' and update the handler to read req.params.gate when searching
CIV_6L.L5_autonomousMesh.ciCdGates (or alternatively, standardize the ciCdGates
objects to have an id property and change the lookup in the handler to compare
x.id === req.params.id); update any caller/tests to use the new param name if
needed.
- Around line 20696-20715: The /api/civ-ai-gov-6l/summary handler dereferences
many nested properties without guards causing potential 500s; update the route
(the app.get callback) to defensively access fields like CIV_6L.simulations,
CIV_6L.L5_autonomousMesh.opaPolicies, CIV_6L.L5_autonomousMesh.ciCdGates,
CIV_6L.L5_autonomousMesh.evidenceBundles,
CIV_6L.L2_systemic.harmonizedSupervisoryReports,
CIV_6L.L4_geopoliticalTreaty.gagcot.articles, CIV_6L.schemas,
CIV_6L.codeExamples and CIV_6L.meta.regulatoryCoverage using optional chaining
and sensible fallbacks (e.g., ?.length || 0 or || {} / || []) so each summary
field returns a safe default instead of throwing; keep the response keys
(docRef, version, classification, subjectModelId, layers, simulations,
gcScenarios, opaPolicies, ciCdGates, evidenceBundles, supervisoryReports,
treatyArticles, schemas, codeExamples, regulatoryCoverage) unchanged.
- Around line 20733-20840: Repeated find-and-404 handlers (e.g., in routes using
CIV_6L.L2_systemic.harmonizedSupervisoryReports,
CIV_6L.L4_geopoliticalTreaty.gagcot.articles,
CIV_6L.L4_geopoliticalTreaty.gcScenarios,
CIV_6L.L5_autonomousMesh.opaPolicies/ciCdGates/evidenceBundles,
CIV_6L.simulations, CIV_6L.schemas, CIV_6L.codeExamples, and the
annexIvDossier.section lookup) should be DRYed into a small helper: add a
function named findOr404(res, list, pred, what, idVal) that returns the found
item or sends the consistent 404 JSON and returns null; then update each route
handler (e.g., the handlers using .find(...) for harmonizedSupervisoryReports,
articles, gcScenarios, opaPolicies, ciCdGates, evidenceBundles, simulations,
schemas, code-examples, and annex-iv sections) to call findOr404 and only
res.json(...) when it returns a non-null item (i.e., early-return on null) so
all 404 logic is centralized and consistent.
🪄 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: b29c1980-8f92-4495-a433-4dc2c84df51f

📥 Commits

Reviewing files that changed from the base of the PR and between 17c6025 and 8766ebd.

📒 Files selected for processing (5)
  • rag-agentic-dashboard/data/civ-ai-gov-6l-crs.json
  • rag-agentic-dashboard/gen-civ-ai-gov-6l-crs-html.py
  • rag-agentic-dashboard/gen-civ-ai-gov-6l-crs.py
  • rag-agentic-dashboard/public/civ-ai-gov-6l-crs.html
  • rag-agentic-dashboard/server.js

Comment on lines +884 to +898
api_html = f"""
<section id="api">
<div class="sh">
<h2>API Endpoints (70+)</h2>
<span class="sb">API</span>
<span class="badge bg-green">Live</span>
<span class="badge bg-purple">JSON</span>
</div>
<p class="sd">All endpoints return JSON (except <code class='mn'>/executive-summary</code> which is text/plain). Every layer, artefact, policy, gate, bundle, scenario, and simulation is individually addressable.</p>
<div class="tc"><table id="api-list">
<thead><tr><th>Method</th><th>Path</th><th>Purpose</th></tr></thead>
<tbody>{api_rows_html}</tbody>
</table></div>
</section>
"""
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⚠️ Potential issue | 🟡 Minor

API endpoints heading says "70+" but the inventory only lists ~43 rows.

The PR description and validation notes reference 60 new /api/civ-ai-gov-6l/* endpoints (and server.js adds a few more like l1/roles, l1/committees, l1/raci, l1/aims-lifecycle, l1/annex-iv/sections/:num, l2/supervisors, l3/gpu-attestations, l4/treaty-registration, l5/mesh-architecture, l5/ci-cd-gates/:id, l5/evidence-manifest-schema, l6/purple-team, l6/metrics that are not in this inventory). Either drop the "70+" claim or round-trip the table against the actual route list so the dashboard doesn't misrepresent the API surface to supervisors.

🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@rag-agentic-dashboard/gen-civ-ai-gov-6l-crs-html.py` around lines 884 - 898,
The API section header currently hardcodes "70+" in api_html which misrepresents
the actual routes; update the template to show the real count by computing a
numeric api_count (e.g., count the entries used to build api_rows_html or the
canonical route list used elsewhere) and interpolate it into the heading
(replace the literal "70+" with f"{api_count}" or a rounded display like
f"{api_count}+"), or remove the "70+" claim entirely; ensure the source of truth
is the same route list used to build api_rows_html so endpoints added in
server.js (e.g., l1/roles, l2/supervisors, l3/gpu-attestations, etc.) are
included in the count.

Comment on lines +578 to +601
"evidenceManifestSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://globalbank.example/schemas/crs-evidence-manifest.json",
"type": "object",
"required": ["bundleId", "label", "merkleRoot", "signature", "contents", "generatedAt", "retentionUntil"],
"properties": {
"bundleId": {"type": "string", "pattern": "^EB-[0-9]{3}$"},
"label": {"type": "string"},
"merkleRoot": {"type": "string", "pattern": "^sha3-256:[0-9a-f…]+$"},
"signature": {
"type": "object",
"required": ["alg", "value", "keyId"],
"properties": {
"alg": {"enum": ["Ed25519", "Dilithium5", "Hybrid-Ed25519+Dilithium5"]},
"value": {"type": "string"},
"keyId": {"type": "string"},
},
},
"contents": {"type": "array", "items": {"type": "object", "required": ["name", "hash"]}},
"generatedAt": {"type": "string", "format": "date-time"},
"retentionUntil": {"type": "string", "format": "date"},
"previousRoot": {"type": "string"},
},
},
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⚠️ Potential issue | 🟡 Minor

Invalid Merkle-root regex: the pattern literally contains the ellipsis character.

"^sha3-256:[0-9a-f…]+$" includes (U+2026) inside the character class. Consequences:

  1. Real SHA3-256 hashes (64 hex chars) are technically still matched (the is just an additional allowed char), but the pattern also accepts any string containing the ellipsis placeholder — i.e., every truncated sample like "sha3-256:4d1a…91ce" from evidenceBundles would validate as "production-grade" evidence, which defeats the point of the schema gate enforced by P-008.
  2. Downstream OPA policy at Line 808 correctly uses ^sha3-256:[0-9a-f]+$ (no ellipsis), so the Rego gate and the published JSON Schema disagree on what a valid Merkle root looks like.

Since this schema is also replicated into schemas["evidenceManifest"] (Line 721) and embedded into the generated JSON / HTML dashboard, fixing here is the root-cause fix.

🛡️ Proposed fix
-            "merkleRoot":     {"type": "string", "pattern": "^sha3-256:[0-9a-f…]+$"},
+            "merkleRoot":     {"type": "string", "pattern": "^sha3-256:[0-9a-f]{64}$"},

The evidenceBundles sample merkleRoot placeholders should also be replaced with full 64-char hex (or clearly flagged as non-normative examples) so they validate against the tightened pattern.

📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
"evidenceManifestSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://globalbank.example/schemas/crs-evidence-manifest.json",
"type": "object",
"required": ["bundleId", "label", "merkleRoot", "signature", "contents", "generatedAt", "retentionUntil"],
"properties": {
"bundleId": {"type": "string", "pattern": "^EB-[0-9]{3}$"},
"label": {"type": "string"},
"merkleRoot": {"type": "string", "pattern": "^sha3-256:[0-9a-f…]+$"},
"signature": {
"type": "object",
"required": ["alg", "value", "keyId"],
"properties": {
"alg": {"enum": ["Ed25519", "Dilithium5", "Hybrid-Ed25519+Dilithium5"]},
"value": {"type": "string"},
"keyId": {"type": "string"},
},
},
"contents": {"type": "array", "items": {"type": "object", "required": ["name", "hash"]}},
"generatedAt": {"type": "string", "format": "date-time"},
"retentionUntil": {"type": "string", "format": "date"},
"previousRoot": {"type": "string"},
},
},
"evidenceManifestSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://globalbank.example/schemas/crs-evidence-manifest.json",
"type": "object",
"required": ["bundleId", "label", "merkleRoot", "signature", "contents", "generatedAt", "retentionUntil"],
"properties": {
"bundleId": {"type": "string", "pattern": "^EB-[0-9]{3}$"},
"label": {"type": "string"},
"merkleRoot": {"type": "string", "pattern": "^sha3-256:[0-9a-f]{64}$"},
"signature": {
"type": "object",
"required": ["alg", "value", "keyId"],
"properties": {
"alg": {"enum": ["Ed25519", "Dilithium5", "Hybrid-Ed25519+Dilithium5"]},
"value": {"type": "string"},
"keyId": {"type": "string"},
},
},
"contents": {"type": "array", "items": {"type": "object", "required": ["name", "hash"]}},
"generatedAt": {"type": "string", "format": "date-time"},
"retentionUntil": {"type": "string", "format": "date"},
"previousRoot": {"type": "string"},
},
},
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@rag-agentic-dashboard/gen-civ-ai-gov-6l-crs.py` around lines 578 - 601, The
JSON Schema evidenceManifestSchema contains a bad merkleRoot regex that includes
a U+2026 ellipsis; replace the pattern "^sha3-256:[0-9a-f…]+$" with a strict
pattern matching real SHA3-256 hex (e.g. "^sha3-256:[0-9a-f]{64}$" or at minimum
"^sha3-256:[0-9a-f]+$") in evidenceManifestSchema and in the replicated
schemas["evidenceManifest"], and update any example merkleRoot values in the
evidenceBundles sample to full 64-hex-character hashes (or clearly mark them as
non-normative placeholders) so the schema and the OPA/rego gate use the same
valid format.

Comment on lines +792 to +825
"regoAnnexIvGate": '''package crs.conformity

# P-001 · Annex IV completeness gate
# Denies CI/CD promotion if any Annex IV section is missing or has an invalid Merkle root.

default allow = false

required_sections := {"1","2","3","4","5","6","7","8","9"}

present_sections := {s | s := input.annexIv.sections[_].section; startswith(s, _)}

missing_sections := required_sections - {split(s, ".")[0] | s := input.annexIv.sections[_].section}

merkle_invalid[s] {
some i
s := input.annexIv.sections[i].section
not regex.match(`^sha3-256:[0-9a-f]+$`, input.annexIv.sections[i].merkleRoot)
}

allow {
count(missing_sections) == 0
count(merkle_invalid) == 0
}

deny[msg] {
count(missing_sections) > 0
msg := sprintf("Annex IV sections missing: %v", [missing_sections])
}

deny[msg] {
count(merkle_invalid) > 0
msg := sprintf("Annex IV sections with invalid Merkle root: %v", [merkle_invalid])
}
''',
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⚠️ Potential issue | 🔴 Critical

🧩 Analysis chain

🌐 Web query:

In Rego (OPA), what does startswith(str, _) evaluate to when the second argument is a bare wildcard variable?

💡 Result:

In Rego (OPA), the expression startswith(str, ) results in an error. The startswith built-in function requires two string arguments: startswith(search: string, base: string) -> boolean. It returns true if the search string begins with the base string. The second argument being a bare wildcard variable () is not allowed because built-in functions do not support existential matching on their arguments in this way; both arguments must be concrete strings at evaluation time. Wildcards like _ are used for iteration (e.g., list[_]) or ref negation, but passing _ directly to a function expecting a string causes a type error as _ is not a string value. To achieve prefix-agnostic matching (true for any prefix), use some prefix; startswith(str, prefix) in a rule body. For example: allow if { some prefix startswith(input.path, prefix) prefixes[prefix] } This binds prefix to every value in prefixes and checks if str starts with any of them.

Citations:


Fix Rego syntax errors in regoAnnexIvGate policy.

The policy has two issues:

  1. Line with startswith(s, _) will fail at evaluation. The startswith() built-in requires both arguments to be concrete strings. Passing a bare wildcard _ as the second argument causes a type error. Either remove this filter or replace it with a valid predicate (e.g., regex.match("^[0-9]+\\.", s) to enforce a numeric section prefix).

  2. present_sections is computed but never used in the allow/deny rules.

Since this is a regulator-facing reference implementation, the policy should be syntactically correct and executable.

🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@rag-agentic-dashboard/gen-civ-ai-gov-6l-crs.py` around lines 792 - 825, The
regoAnnexIvGate policy contains a bad startswith(s, _) call and an unused
present_sections binding; update the policy by replacing the startswith(s, _)
comprehension (used to build present_sections) with a valid predicate such as
regex.match("^[0-9]+\\.", s) to extract numeric section prefixes, or remove
present_sections entirely if not needed, and then either use present_sections in
the allow/deny logic or delete its definition; ensure missing_sections and
merkle_invalid (and their use in allow/deny) remain intact and that the merkle
root check in merkle_invalid stays a valid regex match.

Comment on lines +20767 to +20774
app.get('/api/civ-ai-gov-6l/l4/articles/:id', (req, res) => {
// Accept "Art. 4" or "4" or "art.4"
const key = String(req.params.id).toLowerCase().replace(/[^\d]/g, '');
const a = CIV_6L.L4_geopoliticalTreaty.gagcot.articles.find(x =>
(x.article || '').toLowerCase().replace(/[^\d]/g, '') === key);
if (!a) return res.status(404).json({ error: 'article not found', id: req.params.id });
res.json(a);
});
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⚠️ Potential issue | 🟡 Minor

/l4/articles/:id digit-stripping can produce an empty key that matches unintended entries.

String(req.params.id).toLowerCase().replace(/[^\d]/g, '') yields '' for inputs with no digits (e.g., /l4/articles/foo). The same normalization is applied to each article's article field, so any article whose article string also normalizes to '' (e.g., a preamble/annex entry without a number) would be returned instead of a 404. Consider short-circuiting when key === '':

🛡️ Suggested guard
   const key = String(req.params.id).toLowerCase().replace(/[^\d]/g, '');
+  if (!key) return res.status(404).json({ error: 'article not found', id: req.params.id });
   const a = CIV_6L.L4_geopoliticalTreaty.gagcot.articles.find(x =>
     (x.article || '').toLowerCase().replace(/[^\d]/g, '') === key);
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@rag-agentic-dashboard/server.js` around lines 20767 - 20774, In the route
handler app.get('/api/civ-ai-gov-6l/l4/articles/:id') the normalization that
builds key (String(req.params.id).toLowerCase().replace(/[^\d]/g, '')) can
produce an empty string and then incorrectly match entries whose article also
normalizes to ''. Add a short-circuit after computing key: if key === '' return
res.status(404).json({ error: 'article not found', id: req.params.id }); so the
subsequent lookup against CIV_6L.L4_geopoliticalTreaty.gagcot.articles only runs
for non-empty keys and prevents returning unintended preamble/annex entries.

@secure-code-warrior-for-github
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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 Warrior

Helpful references

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