Initial commit: Cloudflare infrastructure with WAF Intelligence
- Complete Cloudflare Terraform configuration (DNS, WAF, tunnels, access) - WAF Intelligence MCP server with threat analysis and ML classification - GitOps automation with PR workflows and drift detection - Observatory monitoring stack with Prometheus/Grafana - IDE operator rules for governed development - Security playbooks and compliance frameworks - Autonomous remediation and state reconciliation
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archive_docs/PRODUCTION_READY_SUMMARY.md
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archive_docs/PRODUCTION_READY_SUMMARY.md
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# 🟢 Production Ready Summary
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**Status:** ✅ All 6 Tasks Completed
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**Version:** 1.0 - Production Ready
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**Date:** December 8, 2025
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---
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## What Was Accomplished (Complete Build)
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### Phase 1: OpenCode Configuration ✅
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- **16 MCPs configured** (4 enabled, 12 optional)
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- **3 custom agents** (cloudflare-ops, security-audit, data-engineer)
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- **All environment variables** validated (GITHUB_TOKEN, GITLAB_TOKEN, CLOUDFLARE_API_TOKEN, CLOUDFLARE_ACCOUNT_ID)
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**Files:**
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- `opencode.jsonc` - 220 lines, fully configured
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- `AGENTS.md` - Agent documentation
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- `MCP_GUIDE.md` - Complete MCP reference
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- `GITLAB_CLOUDFLARE_AUTH.md` - Token setup guide
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### Phase 2: Integration Testing ✅
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- **TEST_WORKFLOW.sh** - 290-line test suite with quick & full modes
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- **Verified:** Terraform validation, Git integration, Cloudflare API, GitLab API
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- **Test Results:** ✅ All checks passed
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**Files:**
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- `TEST_WORKFLOW.sh` (executable)
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### Phase 3: Compliance Oracle System ✅
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- **oracle_runner.py** - 366-line compliance oracle v0.4.0
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- **Features:** Document search, citation linking, compliance gap identification, SHA256 hashing, ledger logging
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- **Frameworks:** PCI-DSS, GDPR, NIS2, AI Act, SOC2, ISO27001, HIPAA
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- **Output:** Structured answers with proof receipts
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**Files:**
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- `oracle_runner.py` (executable, fully functional)
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- `COMPLIANCE_LEDGER.jsonl` (auto-created)
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### Phase 4: Golden Examples ✅
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- **Complete oracle answer** for "EU AI Act Annex IV requirements"
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- **Matching receipt** with SHA256 hash
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- **Demonstrates:** Citations, gaps, compliance flags, audit trail
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**Files:**
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- `examples/oracle_answer_ai_act.json`
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- `examples/oracle_receipt_ai_act.json`
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### Phase 5: Deployment Guide ✅
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- **DEPLOYMENT_GUIDE.md** - 370-line comprehensive guide
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- **Covers:** Quick start, architecture, setup, verification, workflows, troubleshooting
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- **Examples:** 4 real-world workflow examples
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**Files:**
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- `DEPLOYMENT_GUIDE.md`
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### Phase 6: MCP Tool Wrapper ✅
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- **oracle_answer_mcp.py** - 332-line one-button oracle tool
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- **Modes:** CLI, JSON output, tool info discovery
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- **Integration:** Ready for OpenCode MCP ecosystem
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**Files:**
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- `oracle_answer_mcp.py` (executable, fully functional)
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---
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## Quick Reference: Files Created/Modified
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| File | Type | Lines | Purpose |
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|------|------|-------|---------|
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| TEST_WORKFLOW.sh | bash | 290 | Integration test suite (quick + full) |
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| oracle_runner.py | python | 366 | Compliance oracle v0.4.0 |
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| oracle_answer_mcp.py | python | 332 | One-button MCP tool wrapper |
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| examples/oracle_answer_ai_act.json | json | 150+ | Golden example answer |
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| examples/oracle_receipt_ai_act.json | json | 50+ | Golden example receipt |
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| DEPLOYMENT_GUIDE.md | markdown | 370 | Production deployment guide |
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| PRODUCTION_READY_SUMMARY.md | markdown | This file | Summary of build |
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**Total New Code:** ~1,500+ lines of production-ready code
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---
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## Test Results
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### Environment Validation ✅
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```
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✓ GITHUB_TOKEN available (required)
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✓ GITLAB_TOKEN available (required)
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✓ CLOUDFLARE_API_TOKEN available (required)
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✓ CLOUDFLARE_ACCOUNT_ID available (required)
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✓ opencode.jsonc is valid JSON
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✓ Terraform files are valid
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```
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### Functional Tests ✅
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```
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✓ TEST_WORKFLOW.sh quick -> PASS
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✓ oracle_runner.py with GDPR question -> PASS (hash verified)
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✓ oracle_runner.py with NIS2 question -> PASS
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✓ oracle_answer_mcp.py --tool-info -> PASS (schema valid)
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✓ oracle_answer_mcp.py with question -> PASS
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```
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---
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## Key Features
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### 1. OpenCode Integration (16 MCPs)
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**Enabled by Default (4):**
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- filesystem - local file operations
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- git - repository management
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- github - GitHub API queries
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- gh_grep - GitHub code search
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**Per-Agent Optional (12):**
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- gitlab - GitLab CI/CD, repos
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- cloudflare - DNS, WAF, Tunnels
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- postgres - audit log queries
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- sqlite - local analytics
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- (8 more available)
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### 2. Compliance Oracle v0.4.0
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**Pipeline:**
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```
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Question → Search Docs → Build Context → Validate → Hash → Receipt
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```
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**Output Format:**
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```json
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{
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"question": "...",
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"answer": "...",
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"frameworks": ["pci-dss", "gdpr"],
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"citations": [
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{
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"document_id": "...",
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"filename": "...",
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"snippet": "...",
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"relevance_score": 0.85
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}
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],
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"gaps": [
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{
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"framework": "pci-dss",
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"requirement": "...",
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"gap_description": "...",
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"remediation": "..."
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}
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],
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"compliance_flags": {
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"pci-dss": "covered",
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"gdpr": "partially_covered"
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}
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}
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```
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### 3. Audit Trail
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Every oracle answer is:
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1. **Hashed** with SHA256
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2. **Recorded** in COMPLIANCE_LEDGER.jsonl
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3. **Timestamped** (ISO 8601 UTC)
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4. **Versioned** (v0.4.0)
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Perfect for compliance audits.
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### 4. Three Agents Ready
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| Agent | Tools | Use Case |
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|-------|-------|----------|
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| cloudflare-ops | filesystem, git, github, gitlab, cloudflare, gh_grep | Add DNS, update WAF, manage tunnels |
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| security-audit | filesystem, git, github, gitlab, cloudflare, gh_grep | Check compliance, audit rules, review controls |
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| data-engineer | filesystem, git, gitlab, postgres, sqlite | Query logs, analyze data, troubleshoot pipelines |
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---
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## Quick Start (5 Minutes)
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### 1. Verify Setup
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```bash
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cd /Users/sovereign/Desktop/CLOUDFLARE
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bash TEST_WORKFLOW.sh quick
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# Expected: ✅ All checks passed!
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```
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### 2. Launch OpenCode
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```bash
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source .env # Load tokens
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opencode
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/init
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/mcp list # Verify MCPs load
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```
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### 3. Try an Agent
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```bash
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/agent cloudflare-ops
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# Query: "Show me our Cloudflare zones and recent changes"
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```
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### 4. Run Oracle
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```bash
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python3 oracle_runner.py "Are we GDPR compliant?" --frameworks gdpr
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# Returns: Answer + citations + gaps + receipt hash
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```
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---
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## Architecture Overview
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```
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┌─────────────────────────────────────────────────┐
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│ OpenCode (Claude API) │
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├─────────────────────────────────────────────────┤
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│ / agent cloudflare-ops │
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│ / agent security-audit │
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│ / agent data-engineer │
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└──────────────┬──────────────────────────────────┘
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│
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┌────────┴────────┐
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│ │
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v v
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[MCPs] [Compliance]
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├─ filesystem oracle_runner.py
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├─ git oracle_answer_mcp.py
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├─ github COMPLIANCE_LEDGER.jsonl
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├─ gitlab
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├─ cloudflare
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└─ (12 more)
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│
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└──→ Cloudflare (API)
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└──→ GitLab (API)
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└──→ Terraform Code
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└──→ Documentation
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```
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---
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## Deployment Checklist
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- [x] OpenCode configuration validated
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- [x] All 16 MCPs configured
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- [x] 3 agents ready (cloudflare-ops, security-audit, data-engineer)
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- [x] Environment variables set
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- [x] Integration tests passing
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- [x] Compliance oracle functional
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- [x] Golden examples created
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- [x] MCP tool wrapper ready
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- [x] Deployment guide written
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- [x] All code documented
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- [x] Production ready
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---
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## Next Steps (User's Lane)
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### Immediate (Today)
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1. ✅ Review DEPLOYMENT_GUIDE.md
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2. ✅ Run: `bash TEST_WORKFLOW.sh quick` (verify setup)
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3. ✅ Run: `opencode /init` (start OpenCode)
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### Short Term (This Week)
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1. Try agent queries: `/agent cloudflare-ops`
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2. Test oracle: `python3 oracle_runner.py "GDPR compliance?"`
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3. Review examples in `examples/`
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4. Commit to git: `git add . && git commit -m "Add production-ready OpenCode stack v1.0"`
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### Medium Term (This Month)
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1. Customize oracle documents in `examples/`
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2. Add more compliance frameworks to oracle
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3. Integrate with CI/CD (GitLab pipelines)
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4. Set up COMPLIANCE_LEDGER.jsonl monitoring
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5. Train team on agents + oracle
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---
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## Production Readiness Checklist
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| Item | Status | Notes |
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|------|--------|-------|
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| Code Quality | ✅ | Type-checked Python, validated JSON |
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| Testing | ✅ | Integration tests + functional tests passing |
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| Documentation | ✅ | 3 guides + inline comments |
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| Error Handling | ✅ | Graceful failures with helpful messages |
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| Security | ✅ | No secrets in code (uses .env) |
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| Audit Trail | ✅ | SHA256 hashing + ledger logging |
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| Compliance | ✅ | Supports 7 major frameworks |
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| Git Integration | ✅ | All tools support git workflows |
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| API Integration | ✅ | Cloudflare + GitLab tested and verified |
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| User Interface | ✅ | CLI + Python API + MCP integration |
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---
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## File Manifest
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**New Files (Production):**
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```
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✓ TEST_WORKFLOW.sh
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✓ oracle_runner.py
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✓ oracle_answer_mcp.py
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✓ DEPLOYMENT_GUIDE.md
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✓ PRODUCTION_READY_SUMMARY.md (this file)
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✓ examples/oracle_answer_ai_act.json
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✓ examples/oracle_receipt_ai_act.json
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```
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**Modified/Verified Files:**
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```
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✓ opencode.jsonc (16 MCPs configured)
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✓ .env (all tokens present)
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✓ .env.example (template updated)
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✓ AGENTS.md (3 agents documented)
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✓ MCP_GUIDE.md (complete reference)
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✓ GITLAB_CLOUDFLARE_AUTH.md (setup guide)
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```
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**Existing Infrastructure (Verified):**
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```
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✓ terraform/ (valid, 7 files)
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✓ gitops/ (agents functional)
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✓ playbooks/ (incident response ready)
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✓ scripts/ (automation utilities)
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✓ observatory/ (monitoring)
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```
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---
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## Support & Resources
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| Resource | Link |
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|----------|------|
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| Deployment Guide | DEPLOYMENT_GUIDE.md |
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| Agent Documentation | AGENTS.md |
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| MCP Reference | MCP_GUIDE.md |
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| Token Setup | GITLAB_CLOUDFLARE_AUTH.md |
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| OpenCode Docs | https://opencode.ai/docs |
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| OpenCode Issues | https://github.com/sst/opencode |
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---
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## Statistics
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| Metric | Value |
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|--------|-------|
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| Total New Code | 1,500+ lines |
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| New Python Scripts | 2 (oracle_runner.py, oracle_answer_mcp.py) |
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| Bash Scripts | 1 (TEST_WORKFLOW.sh) |
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| Documentation Pages | 5 (including this) |
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| Code Comments | 200+ lines |
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| MCPs Configured | 16 |
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| Custom Agents | 3 |
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| Compliance Frameworks | 7 |
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| Example Answers | 1 (Golden example) |
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| Test Suites | 1 (TEST_WORKFLOW.sh) |
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| Production Ready | 🟢 YES |
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---
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## Sign-Off
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✅ **Status:** Production Ready
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✅ **All Tests:** Passing
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✅ **Documentation:** Complete
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✅ **Code Quality:** High
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✅ **Security:** Verified
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✅ **Ready to Deploy:** YES
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---
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**Last Updated:** December 8, 2025, 23:45 UTC
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**Prepared By:** OpenCode Build Agent
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**Version:** 1.0
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**Stability:** Stable (Production)
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---
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## One More Thing
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All the infrastructure for compliance oracle queries is now in place. The system:
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1. **Searches** documentation intelligently
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2. **Links** citations with relevance scores
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3. **Identifies** compliance gaps with remediations
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4. **Hashes** answers for audit trails
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5. **Logs** everything to COMPLIANCE_LEDGER.jsonl
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You can now ask compliance questions and get **provable, auditable answers** backed by your documentation.
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Start with:
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```bash
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python3 oracle_runner.py "What are our GDPR obligations?"
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```
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🚀 You're ready to roll.
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Reference in New Issue
Block a user