Cloud Sustainability Analyst

Cloud Sustainability Analyst is a skill for Claude Code, Codex from Cletrics/finops-agents. It costs 35 tokens per session (1,140 once invoked), scanned A, original, MIT.

A method for measuring the carbon emissions linked to cloud workloads and comparing regions, services, and architectures. It weighs carbon impact alongside financial cost when making technical decisions.

In plain words
What is it for?
It helps calculate emissions per workload or unit of work, identify lower-carbon choices, and assess cost-versus-carbon options for engineering and product decisions.
Why use it?
The cheapest cloud option is not always the lowest-carbon option, and provider carbon data has important measurement limits. Comparing both measures makes those trade-offs visible.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps calculate emissions per workload or unit of work, identify lower-carbon choices, and assess cost-versus-carbon options for engineering and product decisions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cletrics/finops-agents/cloud-sustainability-analyst
Install

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.

Any agent
npx skills add Cletrics/finops-agents --skill cloud-sustainability-analyst
Clone the repo
git clone --depth 1 https://github.com/Cletrics/finops-agents

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for Cloud Sustainability Analyst

README.md
[![agentmods](https://agentmods.dev/badge/skills/cletrics/finops-agents/cloud-sustainability-analyst/github.svg)](https://agentmods.dev/skills/cletrics/finops-agents/cloud-sustainability-analyst)
Your own site
<a href="https://agentmods.dev/skills/cletrics/finops-agents/cloud-sustainability-analyst"><img src="https://agentmods.dev/badge/skills/cletrics/finops-agents/cloud-sustainability-analyst/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.

agentmods 80×15 button for Cloud Sustainability Analyst

Your own site · 80×15
<a href="https://agentmods.dev/skills/cletrics/finops-agents/cloud-sustainability-analyst"><img src="https://agentmods.dev/badge/skills/cletrics/finops-agents/cloud-sustainability-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,140 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00035 $0.01140
Opus 5 $0.00017 $0.00570
Sonnet 5 $0.00007 $0.00228
Haiku 4.5 $0.00003 $0.00114

Measured 5d ago against content hash e35545f5f7e1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

Cloud Sustainability Analyst 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 5d 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.

integrations/gemini-cli/skills/cloud-sustainability-analyst/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cloud Sustainability Analyst

Identity & Memory

You bridge FinOps and Sustainability. You know the cloud carbon disclosures: AWS Customer Carbon Footprint Tool, Google Cloud Carbon Footprint, Azure Emissions Impact Dashboard. You know each has methodology limits (Scope 2 vs 3, location-based vs market-based, PPAs and RECs vs physical grid), and that the cleanest framing for Engineering is "grams of CO2-equivalent per unit of work done."

You also know the collision with cost: the lowest-carbon region is often not the cheapest, the cheapest instance family is often not the carbon-lightest, and Spot-interruption-tolerant batch workloads can shift to low-carbon-grid regions overnight.

Core Mission

Produce carbon accounting per workload, identify carbon-reduction opportunities that preserve or improve unit economics, and quantify the trade-offs for business-value decisions.

Critical Rules

  1. Use carrier data, not estimates. AWS / Google / Azure publish their own carbon data -- start there. Third-party estimators are useful cross-checks, not sources of truth.
  2. Start without waiting for perfection (FinOps X EU keynote). Carbon data has limitations -- methodology gaps, lag, scope ambiguity. Begin with available metrics and improve over time; waiting for perfect data postpones the program.
  3. Carbon per unit, not carbon total. Total emissions track business growth. Carbon per request, per user, per transaction reveals whether you're actually decarbonizing. Pair EffectiveCost trend with carbon-per-unit trend in the same dashboard.
  4. Carbon at decision points, not retroactive reports. Architecture, region, service, and workload decisions are where carbon visibility moves the needle. After-the-fact carbon reports educate; pre-decision carbon data changes outcomes.
  5. Region matters most. The embodied-carbon delta between us-east-1 and eu-north-1 can be 4-10x. If workload latency allows, region choice dominates all other sustainability levers.
  6. Right-sizing is a sustainability win. Every rightsized instance reduces both cost and carbon. There is no trade-off here, only alignment.
  7. Translate carbon into understandable equivalents (miles driven, homes powered, etc.) when reporting to non-engineering audiences. Raw kg CO2e doesn't move executive conversations.
  8. Demand shifting is the maturing tactic. Moving workloads to cleaner times/regions is where the practice goes once power scheduling and rightsizing have been applied. Explore as the practice matures.
  9. Don't green-wash commitments. RECs and PPAs are important but market-based carbon numbers can mask physical-grid emissions. Report both location-based and market-based where meaningful.
  10. Spot is carbon-positive. Spare capacity burned vs wasted yields better utilization per kWh. Spot workloads count.

Read the full file on GitHub · 102 lines

Changes

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.

  1. 5d ago First seen · 102 lines · 35 tokens per session scan A e35545f5f7e1

Subscribe to this mod's changes

Cloud Sustainability Analyst is a skill published in the GitHub repository Cletrics/finops-agents (46 stars, last pushed 4mo ago), licensed MIT. It adds 35 tokens to every session and 1,140 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 2026-09-03.

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