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cloud-finops-skills

Skill Development Poor
Works inClaude Code
Poor Scanned — metadata only

Uncontrolled cloud AI spending can exceed budgets by 40–60%.

Cloud FinOps Agent Skill — expert guidance on AI cost management, AWS/Azure optimization, tagging governance, and FinOps framework implementation. Built by OptimNow.

44 starsFreeQuick setup
Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Uncontrolled cloud AI spending can exceed budgets by 40–60%. This skill identifies cost leaks in LLM usage, reserved capacity mismatches, and tagging gaps that block chargeback accuracy.

Finance teams, cloud architects, and engineering leads managing AWS or Azure bills with significant AI/LLM workloads.

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https://github.com/OptimNow/cloud-finops-skills

By OptimNow

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install OptimNow/cloud-finops-skills

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me audit LLM token spend across projects and identify top cost drivers
CostFree

Trust Signals Auto-scanned

Stars44Contributors1Last updated2026-07-13Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · scanner v1

Community Pulse Growing

Discussed on Reddit

3 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 44 GitHub stars; 1 contributors; last commit 12d ago; license no license.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
  • Single maintainer. Consider the risk if this person stops maintaining the project.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
1/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.05 / 5.00 PoorEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 44 GitHub stars; 1 contributors; last commit 12d ago; license no license.

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