Initial commit - combined iTerm2 scripts

Contains:
- 1m-brag
- tem
- VaultMesh_Catalog_v1
- VAULTMESH-ETERNAL-PATTERN

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

VaultMesh_Catalog_v1/pages/page6-lawchain.md

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+Page Title: Lawchain Compliance Ledger
+Summary: Lawchain is the compliance-focused ledger that tracks regulatory obligations, oracle answers, and audit trails via receipts. It integrates with the proof system to ensure every compliance answer has a cryptographic backbone, and it is designed to speak the language of EU AI Act, GDPR, NIS2, and future frameworks.
+
+Key Findings:
+- Oracle answers are validated against a schema before being recorded.
+- Each answer is hashed and bound into a receipt, linking legal semantics to proofs.
+- Federation metrics allow multi-node Lawchain sync across the mesh.
+- Policy evaluation is driven by JSON inputs and produces JSON results for downstream tools.
+
+Components:
+- Lawchain Core Ledger (append-only compliance scroll).
+- Oracle Answer Validator (schema enforcement).
+- Compliance Scroll store (receipt logs).
+- Federation Metrics emitter.
+- Policy Evaluator (rule engine).
+
+Oracle Answer Schema (vm_oracle_answer_v1):
+```json
+{
+  "question": "string",
+  "answer_text": "string",
+  "citations": [{
+    "document_id": "string",
+    "framework": "string",
+    "excerpt": "string"
+  }],
+  "compliance_flags": {
+    "gdpr_relevant": true,
+    "ai_act_relevant": false,
+    "nis2_relevant": true
+  },
+  "gaps": ["string"],
+  "insufficient_context": false,
+  "confidence": "high"
+}
+```
+
+Workflows / Pipelines:
+- Compliance Q&A:
+  1. Operator (or system) asks Lawchain a question.
+  2. RAG/Retrieve context from policy docs and regulations.
+  3. LLM generates an answer draft.
+  4. Answer is validated against vm_oracle_answer_v1 schema.
+  5. Hash (Blake3 over canonical JSON) computed and receipt generated.
+  6. Receipt anchored via proof system and stored in Lawchain.
+
+Metrics Files (examples under /tmp/):
+| File                    | Purpose                    |
+|-------------------------|----------------------------|
+| lawchain_federate.out   | Federation sync output     |
+| lawchain_federate.err   | Federation errors          |
+| lawchain_metrics.out    | Metrics/logging output     |
+| policy_eval_out.json    | Policy evaluation results  |
+| policy_input.json       | Policy evaluation input    |
+
+Security Notes:
+- Answer hash computed as blake3(json.dumps(answer, sort_keys=True)).
+- Receipts bind answer content, timestamps, and possibly node identity.
+- gaps and insufficient_context prevent fake certainty in legal answers.
+- Citations must reference real sources, enabling audit of answer provenance.
+
+Compliance Frameworks Tracked:
+- GDPR – data protection and subject rights.
+- EU AI Act – risk classification, obligations, and logs.
+- NIS2 – network and information security.
+- Custom extensions can map additional frameworks (e.g., SOC2, ISO 27001).
+
+Dependencies:
+- Lawchain service.
+- Oracle corpus indexed (policies, regulations, internal docs).
+- Blake3 and JSON schema validator.
+- Integration with VaultMesh proof spine for receipts and anchoring.