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/OptimNow/cloud-finops-skillsWrote 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/plugins/optimnow/cloud-finops-skills/cloud-finops)<a href="https://agentmods.dev/plugins/optimnow/cloud-finops-skills/cloud-finops"><img src="https://agentmods.dev/badge/plugins/optimnow/cloud-finops-skills/cloud-finops/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/plugins/optimnow/cloud-finops-skills/cloud-finops"><img src="https://agentmods.dev/badge/plugins/optimnow/cloud-finops-skills/cloud-finops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
cloud-finops 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.
The source is not reproduced here
Licensed CC-BY-SA-4.0
The repository is licensed CC-BY-SA-4.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What it installs
The manifest is a name and a version. 1 skill travel with it, and installing the plugin installs all of them — 253 tokens a session between them. Each is measured on its own page, and each can be installed alone.
What ships with it
1 file beside plugin.json in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago Changed · +4 lines 44f9eee437b0
- 7d ago Changed fdf3faf7ae72
- 16d ago Changed 41c4c8f4ab0a
- 17d ago Changed b73f189ccc85
- 18d ago Changed · +29 lines 36d1174a064c
- 22d ago Changed c955ef363efb
- 1mo ago First seen · 9 lines scan A 76efbdb19734
cloud-finops is a plugin published in the GitHub repository OptimNow/cloud-finops-skills (63 stars, last pushed today), licensed CC-BY-SA-4.0. Its token cost is not measured: this kind of file is read by the harness, not the model. 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.
Other plugins, from other repositories
azure-cost
Azure cost analysis, estimation, optimization, and governance workflows backed by Azure Resource Manager MCP.
nable
Prices what your coding agent is about to do before it runs: asks before costly launches and destroys, tracks AI spend, and answers cost questions across AWS, Azure, GCP, Kubernetes and AI providers. Local, read-only. The guard is on once the plugin is installed; nable guard off pauses it. Credentials stay on your…
aws-cost-saver
180 AWS cost optimization checks with Cost Optimization Hub, Compute Optimizer ML integration, data transfer analysis, and reservation purchase recommendations. Read-only by design.
ai-platform-kit
Databricks platform engineering toolkit — provision workspaces, configure Unity Catalog, manage identity and governance, set up networking across Azure, AWS, and GCP.
cloud-cost-agent
Native-first FinOps agent for AWS, GCP, and Azure. Finds cloud savings using each provider's own CLIs and recommendation engines (Cost Explorer/Compute Optimizer, GCP Recommender, Azure Advisor).
aws-agent-skills
Collection of AWS engineering skills for IAM, Lambda, DynamoDB, S3, and 14 other core AWS services.