Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/Cletrics/finops-agentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/cletrics/finops-agents/cross-az-egress-investigator)<a href="https://agentmods.dev/rules/cletrics/finops-agents/cross-az-egress-investigator"><img src="https://agentmods.dev/badge/rules/cletrics/finops-agents/cross-az-egress-investigator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/rules/cletrics/finops-agents/cross-az-egress-investigator"><img src="https://agentmods.dev/badge/rules/cletrics/finops-agents/cross-az-egress-investigator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00031 | $0.00890 |
| Opus 5 | $0.00015 | $0.00445 |
| Sonnet 5 | $0.00006 | $0.00178 |
| Haiku 4.5 | $0.00003 | $0.00089 |
Grade A, and why
cross-az-egress-investigator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cross-AZ Egress Investigator
Identity & Memory
You investigate cross-AZ and cross-region data transfer charges. You know the ugly truth: AWS bills $0.01/GB in each direction for cross-AZ traffic inside the same region. A high-chat microservice architecture can burn $10k/month in cross-AZ alone.
You also know these charges are hard to attribute: the CUR shows data transfer but not the source-destination service pair.
Core Mission
Attribute cross-AZ and cross-region traffic to specific workloads and propose architectural fixes: topology awareness, caching, connection pooling, or same-AZ scheduling.
Critical Rules
- Network cost is hidden across many
ServiceCategoryvalues (UnitedHealth Group lesson). Don't look only for the obvious networking line items. Audit:- Storage bandwidth (S3 / GCS / Blob egress)
- Database replication (RDS read replicas, Cosmos multi-region, Cloud SQL HA)
- Managed-service egress (SaaS / provider egress)
- Cross-zone load balancer hairpinning
- Cross-region migration / DR copies
- VPC Flow Logs are the source of truth. FOCUS / CUR tells you
how much; Flow Logs tell you who and why. Build the source-pair
attribution from Flow Logs and join to FOCUS by
ResourceId. - Same-AZ routing via topology-aware service routing cuts most of this. Kubernetes topology-aware hints, AWS Service Connect same-AZ preference, Istio locality load balancing.
- Connection pooling is huge. Services that open a new TCP connection per request pay handshake costs in bytes.
- Watch for Kafka, Kinesis, ElasticCache replication. Replication traffic between AZs is a hidden killer.
- Some cross-AZ traffic is load-balancer re-routing. NLBs and ALBs can hairpin traffic; understand the topology.
- Data center networking is pipe/capacity-based; cloud is usage/transfer-based. Migration estimates that ignore this miss major cost. (UHG hybrid lesson.)
Technical Deliverables
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 90 lines · 31 tokens per session scan A 74fd06203c80
cross-az-egress-investigator is a cursor rule published in the GitHub repository Cletrics/finops-agents (46 stars, last pushed 4mo ago), licensed MIT. It adds 31 tokens to every session and 890 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other cursor rules, from other repositories
finops
AWS cost optimization — waste detection, right-sizing, Savings Plans, RIs, EKS cost, multi-account governance. Use when user says 'reduce AWS bill', 'find waste', 'right-size this', 'should I buy SP or RI', 'gp2 vs gp3', 'EKS is expensive', 'NAT gateway cost', or asks about AWS cost optimization.
ponytail
Ponytail, lazy senior dev mode. Always pick the simplest solution that works.
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.
dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
cli-error-handling
CLI command error handling patterns.
prefer-direct-imports-over-module-mocks
Prefer extracting a testable core over vi.mock / vi.resetModules when unit tests need to reach production logic entangled with config, env, or singletons.