Purpose: Provide ready-to-use skeleton templates for all required proprietary and technical documentation so teams can rapidly populate details while maintaining structure and confidentiality.
1. System Architecture Spec (SAS) Template
Section 1: Overview — Purpose, Scope, Stakeholders.
Section 2: High-Level Architecture Diagram (C4 Context + Container).
Section 3: Component Descriptions.
Section 4: Data Flow Diagrams.
Section 5: Trust Boundaries & Security Zones.
Section 6: SLAs/SLOs & Performance Targets.
Section 7: RACI Matrix.
2. Data Architecture & Governance (DAG) Template
Section 1: Data Sources & Schemas.
Section 2: Data Lineage Map.
Section 3: Retention & Archival Policies.
Section 4: Privacy Classifications.
Section 5: ZKP Boundaries.
Section 6: Dataset Entitlement & Access Matrix.
3. Security & Threat Model (STM) Template
Section 1: Threat Modeling Methodology (STRIDE/LINDDUN).
Section 2: Adversary Profiles.
Section 3: Abuse Case Scenarios.
Section 4: Key Management & Rotation Policy.
Section 5: Circuit & Contract Audit Summaries.
Section 6: Mitigation Plans.
Section 7: Incident Response Playbook.
4. Model Card Template (Per Proprietary Model)
Section 1: Model Name & Codename.
Section 2: Purpose & Scope. Section
3: Input Features. Section
4: Training Datasets.
Section 5: Training Recipe.
Section 6: Evaluation Metrics.
Section 7: Limitations & Known Biases.
Section 8: Rollback/Decommission Plan.
5. Risk & Bias Assessment (RBA) Template
Section 1: Sensitive Attribute List.
Section 2: Bias Detection Methods.
Section 3: Drift Detection Methods.
Section 4: Human-in-the-Loop Control Points.
Section 5: Corrective Action Procedures.
6. CaaS API Spec (OpenAPI)
Section 1: Endpoint List & Descriptions.
Section 2: Authentication & Authorization.
Section 3: Scope Definitions.
Section 4: Request/Response Examples.
Section 5: Error Handling & Taxonomy.
Section 6: Rate Limits & Quotas.
7. TLaaS Contract Spec Template
Section 1: Contract Architecture Diagram.
Section 2: License NFT/SFT Schema.
Section 3: Issuance Process Flow.
Section 4: Renewal & Revocation Logic.
Section 5: Sublicensing & Transfer Rules.
Section 6: Dispute Resolution Hooks.
Section 7: Governance & Upgradeability.
8. ZKP Circuit Book Template
Section 1: Circuit Name & Purpose.
Section 2: Public & Private Inputs.
Section 3: Proof Generation Process.
Section 4: Verification Workflow.
Section 5: Soundness & Completeness Assumptions.
Section 6: Performance Benchmarks.
9. SRE Playbook Template
Section 1: Service Overview.
Section 2: Golden Signals & Alerts.
Section 3: Runbooks for Common Incidents.
Section 4: Autoscaling & Capacity Planning.
Section 5: Chaos Testing Procedures.
Section 6: Error Budget Policy.
10. Trade-Secret Handling SOP Template
Section 1: Access Control Rules.
Section 2: Code Splitting & Internal Codenames.
Section 3: Audit & Monitoring Procedures.
Section 4: Escalation Path for Leaks.
11. Proprietary Algorithm Doc Skeleton
Section 1: Algorithm Codename.
Section 2: Purpose & Scope.
Section 3: Inputs & Outputs.
Section 4: Core Logic (Pseudocode).
Section 5: KPIs & Performance Targets. Section 6: Interfaces & API Endpoints.
Section 7: Testing & Validation.
Section 8: Security Considerations.
Section 9: Maintenance & Versioning.
Note: These skeletons are to be duplicated for each deliverable in Phase 0–1 and stored in secure, access-controlled repositories. Proprietary math, model weights, and training code must never be included in shared or public versions.
Skeleton Pack — Technical Docs (Ready to Fill)
A. OpenAPI — CaaS API (Skeleton)
openapi: 3.1.0
info:
title: CHLOM CaaS API
version: 0.1.0
description: Compliance scoring, fraud detection, KYC resolution, ZK verification.
servers:
- url: https://api.chlom.io
security:
- mtls: []
- oauth2: [caas.read, caas.write]
paths:
/v1/score/compliance:
post:
summary: Compute compliance score
operationId: postComplianceScore
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/ComplianceScoreRequest'
responses:
'202': { $ref: '#/components/responses/AcceptedAsync' }
/v1/fraud/graph/inspect:
post:
summary: Graph-based fraud network inspection
operationId: postFraudGraphInspect
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/FraudGraphRequest'
responses:
'200': { $ref: '#/components/responses/FraudGraphResponse' }
/v1/anomaly/stream:
post:
summary: Subscribe to anomaly events
operationId: postAnomalyStream
responses:
'101': { description: Switching Protocols (SSE/WS) }
/v1/kyc/resolve:
post:
summary: Sanctions/PEP resolution
operationId: postKycResolve
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/KycResolveRequest'
responses:
'200': { $ref: '#/components/responses/KycResolveResponse' }
/v1/zk/verify:
post:
summary: Verify Obsidian ZK proof
operationId: postZkVerify
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/ZkVerifyRequest'
responses:
'200': { $ref: '#/components/responses/ZkVerifyResponse' }
components:
securitySchemes:
mtls:
type: mutualTLS
oauth2:
type: oauth2
flows:
clientCredentials:
tokenUrl: https://auth.chlom.io/oauth/token
scopes:
caas.read: Read access
caas.write: Write access
schemas:
ComplianceScoreRequest:
type: object
properties:
entity: { $ref: '#/components/schemas/Entity' }
context: { type: object, additionalProperties: true }
required: [entity]
FraudGraphRequest:
type: object
properties:
seed_ids: { type: array, items: { type: string } }
window: { type: string, example: 'PT24H' }
required: [seed_ids]
KycResolveRequest:
type: object
properties:
name: { type: string }
dob: { type: string, format: date }
documents: { type: array, items: { type: string, format: uri } }
required: [name]
ZkVerifyRequest:
type: object
properties:
proof: { type: string }
public_inputs: { type: array, items: { type: string } }
required: [proof, public_inputs]
Entity:
type: object
properties:
type: { type: string, enum: [person, organization] }
identifiers: { type: object, additionalProperties: true }
responses:
AcceptedAsync:
description: Accepted for async processing; webhook will deliver result.
headers:
Operation-Id: { description: Async correlation id, schema: { type: string } }
FraudGraphResponse:
description: Graph clusters and risk links
content:
application/json:
schema:
type: object
properties:
clusters: { type: array, items: { type: array, items: { type: string } } }
explanations: { type: array, items: { type: string } }
KycResolveResponse:
description: Matched entities with confidence bands
content:
application/json:
schema:
type: object
properties:
matches: { type: array, items: { type: object, additionalProperties: true } }
ZkVerifyResponse:
description: Proof verification outcome
content:
application/json:
schema:
type: object
properties:
valid: { type: boolean }
meta: { type: object, additionalProperties: true }
B. Model Card Template (per Algorithm)
Title: <Algorithm Codename>
Owner: <Team/Lead>
Purpose: <What it decides/estimates>
Scope: <Inputs, outputs, consumers>
Datasets: <Sources, licenses, update cadence>
Features: <Top features, derivations>
Training: <Recipe, hardware, hyperparams summary>
Evaluation: <Metrics, test sets, thresholds, calibration>
Fairness: <Protected attributes, checks, results>
Safety: <Abuse cases, mitigations>
Drift & Monitoring: <Signals, alarms, retrain policy>
Rollbacks: <When/how to revert>
Versioning: <Semver, model registry path>
Notes: <Open risks, TODOs>
C. Threat Model Worksheet (STM) — STRIDE/LINDDUN
- Context Diagram: Systems, data stores, externals.
- Assets: Keys, PII subsets, model weights, proofs, license NFTs.
- Trust Boundaries: API edge, chain RPC, ZK verifier, feature store.
- Threats (by category): Spoofing, Tampering, Repudiation, Info Disclosure, DoS, Elevation of Privilege; Linkability, Identifiability, Non‑repudiation, Detectability, Disclosure, Unawareness, Non‑compliance.
- Abuse Cases: e.g., forged license renewal; oracle replay; inference attacks on features.
- Mitigations Matrix: Control → Threat → Residual risk.
- Security Tests: Pen‑test scope, fuzz plan, chaos tests.
D. ZKP Circuit Index (Obsidian)
- Circuit List: LicenseValidity, SanctionsCheck, AgeOver, KYCProof, RenewalAggregate.
- Inputs: Public vs private for each circuit.
- Constraints: Field size, curve, security level, recursion strategy.
- Verifier Specs: On‑chain verifier params; weight/gas budgets.
- Test Vectors: JSON fixtures for valid/invalid proofs.
- Audit Checklist: Soundness, CRS handling, MPC transcript, ceremony notes.
E. TLaaS Contract Spec (Skeleton)
- Token Schema: NFT vs SFT choice; metadata keys (issuer_id, scope, jurisdiction, expiry, zk_refs).
- State Machine: Issue → Activate → Renew → Suspend → Revoke → Archive.
- Access Control: Issuer, Holder, Regulator roles; multisig for revocations.
- Events: Issued, Renewed, Transferred, Suspended, Revoked.
- Disputes: Challenge window, evidence format, arbitration route.
- Compliance Hooks: Pre‑tx check with AegisScore threshold; post‑tx audit log.
F. Chain Protocol Spec (Skeleton)
- Consensus/Finality:
- Runtime Pallets/Modules: identity, licensing, zkverify, treasury, governance.
- Fees & Weights: Target TPS, fee table, weight limits.
- Governance Hooks: Parameter updates via DAO; emergency pause.
- Bridges/Interop: Supported chains, message format, replay protection.
G. Policy Engine DSL Guide (Skeleton)
- Syntax Basics: rule, when, then, because.
- Data Bindings:
- Versioning: Signed policy bundles, semantic versioning, canary % rollout.
- Testing: Golden cases, shadow mode, diff-based audits.
H. SRE Runbook (Outline)
- Golden Signals: latency, traffic, errors, saturation.
- Dashboards: API edge, feature store, inference, chain RPC, prover farm.
- On‑Call: Rotation, sev levels, paging rules.
- Incident: Triage matrix, comms templates, post‑mortem checklist.
I. CI/CD Blueprint (Outline)
- Pipelines: build → test → scan → sign → stage → canary → prod.
- Supply Chain: SBOM, signature (sigstore), provenance (SLSA level target).
- Approvals: 2‑person rule for model and circuit promotion.
J. Testing Strategy (Outline)
- Unit & Property Tests: deterministic seeds for ML pre/post.
- Adversarial ML: evasion, poisoning, model stealing tests.
- Contract/Chain: fuzz, gas/weight, state‑machine model checking.
- ZKP: proof/algo fuzzing, malformed inputs, boundary sizes.
- E2E: synthetic tenants, fraud red‑team packs, chaos days.