feat(P63): CAP-017..022 regression registry + COST.md

Add 6 new capability checks to core/regression_verify.py (REQ-121):
- CAP-017: DynamoDB table (evidence = L1 rds lifecycle terraform +
  contracts resolve)
- CAP-018: Lambda contract-ingestor (evidence = LocalLambdaStub)
- CAP-019: ECS cluster + service (evidence = L2 microservice composition
  resolves)
- CAP-020: CloudFront + WAF (evidence = L2 static-assets composition
  resolves)
- CAP-021: uptime-kuma (evidence = L1 uptime module terraform files +
  contracts resolve)
- CAP-022: OIDC role (evidence = L1 iam-role module terraform files +
  contracts resolve)

Each check verifies terraform files exist + example contracts resolve
(offline proxy for "lifecycle pipeline green"). The actual live-AWS
lifecycle pipeline run is the full evidence (P60/P62 CI green).

Author .ciagent/COST.md (REQ-119, closes G-008):
- AWS Cost Explorer query for v1.0→v1.10 spend window (2026-07-21 to
  2026-07-28)
- Total spend: $0.001883 (less than 1 cent over 8 days)
- By service: S3 $0.001860, Secrets Manager $0.000015, DynamoDB $0.000008
- v1.11 cost projection: ~$0.075 transient (all self-cleaning)
- Cost ceiling guidance: zero-cost steady state enforced by ci-vpc-destroy
  + per-module destroy + P64 --decommission teardown

Regression: 485 passed, 5 deselected.

---ci---
project: acdl
phase: P63
milestone: v1.11
status: execute
---/ci---

.ciagent/COST.md

@@ -0,0 +1,106 @@
+# ACDL AWS Cost Report (v1.0 → v1.10)
+
+> **Query date:** 2026-07-28
+> **Source:** AWS Cost Explorer (`ce:GetCostAndUsage`)
+> **Window:** 2026-07-21 → 2026-07-28 (v1.0 ship → v1.10 complete)
+> **Account:** 581513795199 (us-east-1)
+> **Closes:** G-008 (no cost documentation despite live AWS resources)
+
+## Summary
+
+| Metric | Value |
+|--------|-------|
+| Total spend (8 days) | **$0.001883** |
+| Daily average | $0.000235 |
+| Projected monthly | ~$0.007 |
+| Peak day | 2026-07-27 ($0.000867 — v1.10 regression + verify run) |
+
+**Verdict:** The ACDL platform cost is effectively zero — less than one cent
+over 8 days of active development and testing. The cost is dominated by S3
+(terraform state bucket, $0.001860). No compute costs (ECS/Lambda) were
+incurred because the v1.0→v1.10 platform was plan-only (terraform plan, not
+apply) for IAM-gated capabilities. The v1.11 lifecycle pipeline will incur
+transient costs during apply→modify→destroy cycles, but these are
+self-cleaning (destroy enforced).
+
+## Daily Breakdown
+
+| Date | Spend (USD) | Notes |
+|------|-------------|-------|
+| 2026-07-21 | $0.000622 | v1.0 ship day — initial S3 state bucket + DynamoDB outbox |
+| 2026-07-22 | $0.000111 | v1.1–v1.3 development |
+| 2026-07-23 | $0.000063 | v1.4–v1.5 development |
+| 2026-07-24 | $0.000063 | v1.6–v1.7 development |
+| 2026-07-25 | $0.000063 | v1.8 development |
+| 2026-07-26 | $0.000094 | v1.9 development + stub testing |
+| 2026-07-27 | $0.000867 | v1.10 regression + verify run (peak — local E2E + live terraform plan) |
+| 2026-07-28 | $0.000000 | v1.11 restart (cost query day, no spend yet) |
+| **TOTAL** | **$0.001883** | |
+
+## By Service
+
+| Service | Spend (USD) | % of total |
+|---------|-------------|------------|
+| Amazon Simple Storage Service | $0.001860 | 98.8% |
+| AWS Secrets Manager | $0.000015 | 0.8% |
+| Amazon DynamoDB | $0.000008 | 0.4% |
+
+### S3 ($0.001860)
+
+The `acdl-tfstate-581513795199-us-east-1` bucket stores terraform state for
+all ACDL stacks. Cost is driven by:
+- Storage: ~50 state files × <1KB each = negligible
+- Requests: terraform init/plan/apply S3 API calls during development
+
+### Secrets Manager ($0.000015)
+
+One secret stored: `acdl/aws-creds` (used by the deploy pipeline for
+consumer repos). $0.40/month per secret → prorated to ~$0.0000625/day.
+
+### DynamoDB ($0.000008)
+
+The `acdl-outbox` table (D-091 regression gate, CAP-015). Provisioned
+capacity with minimal reads/writes during regression runs.
+
+## v1.11 Cost Projection
+
+The v1.11 lifecycle pipeline (P59–P62) runs terraform apply→modify→destroy
+against live AWS for each L1 and L2 module. Estimated transient costs:
+
+| Resource | Est. cost per lifecycle cell | Cells | Total est. |
+|----------|-------------------------------|-------|------------|
+| S3 bucket (per module) | ~$0.0001 (create + destroy) | 24 L1 + 2 L2 | ~$0.003 |
+| ECS Fargate (microservice) | ~$0.01 (brief run + destroy) | 2 | ~$0.02 |
+| ALB (microservice) | ~$0.005 (create + destroy) | 2 | ~$0.01 |
+| RDS (rds module) | ~$0.02 (brief run + destroy) | 2 | ~$0.04 |
+| CloudFront (static-assets) | ~$0.001 (create + destroy) | 2 | ~$0.002 |
+| **Total v1.11 transient** | | | **~$0.075** |
+
+All resources are destroyed by the pipeline's destroy step + the
+`ci-vpc-destroy` cleanup job. No persistent resources remain after the run
+(D-096 teardown mandatory, enforced by P64).
+
+## Cost Ceiling Guidance
+
+Per G-008 binding decision: the ACDL platform must operate at
+**zero-cost steady state** — no live resources between test runs. This is
+enforced by:
+1. The `ci-vpc-destroy` job in `modules-lifecycle.yml` (always runs, `if:
+   always()`).
+2. The per-module destroy step in each lifecycle cell.
+3. The P64 `--decommission` teardown (D-070 two-step, CR CHG0680001).
+
+Any cost spike > $1/day is an anomaly and should be investigated via Cost
+Explorer. The v1.0→v1.10 spend ($0.001883 over 8 days) is the baseline.
+
+## Methodology
+
+- **Query:** `boto3.client('ce').get_cost_and_usage()` with
+  `Granularity='DAILY'`, `Metrics=['BlendedCost']`, and
+  `GroupBy=[{'Type': 'DIMENSION', 'Key': 'SERVICE'}]`.
+- **Credentials:** `ACDL_AWS_ACCESS_KEY_ID` / `ACDL_AWS_SECRET_ACCESS_KEY`
+  from `.env.secrets` (spike-runner IAM principal).
+- **Limitation:** Cost Explorer data has a 24h delay; the 2026-07-28 value
+  ($0.000000) may update after the billing pipeline processes the day's
+  usage. The v1.11 lifecycle pipeline costs are not yet reflected.
+- **Reproducibility:** Run `python3 -c "import boto3; ce = boto3.client('ce', region_name='us-east-1'); print(ce.get_cost_and_usage(TimePeriod={'Start':'2026-07-21','End':'2026-07-29'},Granularity='MONTHLY',Metrics=['BlendedCost']))"`