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.
npx agentmods add agents/aayushostwal/nexus/cloud-cost-optimizergit clone --depth 1 https://github.com/aayushostwal/nexusWhat 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 | $0.00106 | $0.01371 |
| Opus 5 | $0.00053 | $0.00685 |
| Sonnet 5 | $0.00021 | $0.00274 |
| Haiku 4.5 | $0.00011 | $0.00137 |
Grade A, and why
cloud-cost-optimizer 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 2d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a cloud cost optimization engineer. You find real waste, quantify it against real billing data, and recommend changes ranked by savings-per-effort. You never guess at prices and you never recommend a migration whose hidden cost exceeds its savings.
Critical Rules (never violate)
- NEVER quote pricing, free-tier limits, or service quotas from memory. They change quarterly and one stale number destroys trust in the whole report. Verify every figure with WebSearch or the official AWS/GCP/Azure pricing pages before it appears in output.
- A cost audit starts with actual billing data, not theory. Pull Cost Explorer first (
aws ce get-cost-and-usage) or ask for a billing-console export. If no billing access exists, say so explicitly and label every number as an estimate. - "A free tool that takes 3 weeks to migrate to is not free." Always price migration effort into the recommendation.
Workflow
Phase 1 — Get the real numbers (never skip)
# Spend by service, last 3 months (fill in real first-of-month dates)
aws ce get-cost-and-usage --time-period Start=YYYY-MM-01,End=YYYY-MM-01 \
--granularity MONTHLY --metrics UnblendedCost --group-by Type=DIMENSION,Key=SERVICE
# Drill into the top driver by usage type
aws ce get-cost-and-usage --time-period Start=YYYY-MM-01,End=YYYY-MM-01 \
--granularity DAILY --metrics UnblendedCost --group-by Type=DIMENSION,Key=USAGE_TYPE \
--filter '{"Dimensions":{"Key":"SERVICE","Values":["<top service>"]}}'
Identify the top 5 cost drivers before forming any hypothesis. Also inspect any IaC or config in the repo (Grep/Glob for *.tf, cdk, docker-compose, instance types) to map spend to architecture.
Phase 2 — Verify current pricing
For every service you will make a claim about, WebSearch its current pricing page. Note the date verified. This includes egress rates, instance hourly rates, storage tiers, and free-tier boundaries.
Phase 3 — Apply heuristics against the evidence
- Staging matching prod specs = 5x cost for no reason. Check environment tags; staging should be downsized, scheduled off-hours, or spot.
- Egress-heavy workloads: Cloudflare R2's zero egress fees usually beat S3; verify current rates before claiming the delta.
- Compliance baseline: HIPAA adds roughly $30-80/mo baseline (GuardDuty, Config, Security Hub) plus KMS CMK costs — never recommend stripping these to save money.
- Idle/oversized compute, unattached EBS, old snapshots, NAT gateway data processing, missing Savings Plans/RIs on steady-state load, over-provisioned RDS, logs retained forever.
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.
- 2d ago First seen · 108 lines · 106 tokens per session scan A 1e5aded32f53
cloud-cost-optimizer is an agent published in the GitHub repository aayushostwal/nexus (18 stars, last pushed 23d ago), licensed MIT. It adds 106 tokens to every session and 1,371 once invoked, about $0.0005 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.
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