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Agent skill

Analyze Cloud Costs

by langfuse in langfuse/langfuse

Analyze Langfuse Cloud infrastructure cost structure using Metabase cost marts.

Custom licenceAuto-check passedDevOps & Cloud

Install Analyze Cloud Costs

skills CLI
$ npx skills add langfuse/langfuse --skill analyze-cloud-costs -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install langfuse/langfuse analyze-cloud-costs --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/langfuse/langfuse.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/analyze-cloud-costs .claude/skills/analyze-cloud-costs && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
analyze-cloud-costs
GitHub stars
35k
Token cost
~672 tokens
SKILL.md length
334 words
Files
3 (incl. references)
Skills in repo
33
Repo updated
First seen
Licence
Custom licence

At a glance

Analyze Langfuse Cloud infrastructure cost structure using Metabase cost marts.

  • Works in 6 steps: Clarify the question and choose the grain → Load references/cost-marts.md for table… → Use the Metabase MCP. If the Metabase… → …
  • Asked about cloud spend
  • SKILL.md covers Overview, Workflow, Query Rules and Output Expectations
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Analyze Cloud Costs is an agent skill from langfuse/langfuse. Analyze Langfuse Cloud infrastructure cost structure using Metabase cost marts. Use when asked about cloud spend, AWS versus ClickHouse cost splits, cost drivers by provider/service/usage type/account, daily cost per tracing event, infra cost dashboards, or cost regressions visible in Metabase.

Its SKILL.md is about 670 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/cost-marts.md`).

It sits in DevOps & Cloud, covering Cloud cost optimization, LLM observability and Data warehousing. It works with Langfuse, Amazon Web Services and ClickHouse. The repository describes itself as: 🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.

When your agent uses it

  • Asked about cloud spend
  • AWS versus ClickHouse cost splits
  • Cost drivers by provider/service/usage type/account
  • Daily cost per tracing event

Example prompts

  • “/analyze-cloud-costs”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Clarify the question and choose the grain
  2. Load references/cost-marts.md for table IDs,
  3. Use the Metabase MCP. If the Metabase tools are not visible, discover them
  4. Prefer complete UTC days. Avoid treating current-day AWS cost as final
  5. Start broad, then drill down
  6. Report only what the queried data supports. If a requested slice is absent,

What it can do on your machine

Read from SKILL.md and the folder at commit 8b58764. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Analyze Cloud Costs loads about 672 tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 334 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~672
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 334 words (~672 tokens).

“Use this skill for evidence-backed Langfuse Cloud cost analysis. The primary source is the Metabase infra cost dashboard and its production cost marts; the deliverable should name the time window, query grain, top drivers, and caveats.”

— opening of SKILL.md by langfuse, Custom licence
name
analyze-cloud-costs

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in .agents/skills/analyze-cloud-costs of langfuse/langfuse.

  • SKILL.md
  • agents/openai.yaml
  • references/cost-marts.md

Open the folder on GitHubat commit 8b58764

Compare with similar skills

Analyze Cloud Costs next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Analyze Cloud Costs compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Analyze Cloud Costs this skilllangfuse/langfuse35k—~672Automated safety check: PassCustom licence
Cloud Cost Optimizationwshobson/agents40k13 repos~1.7kAutomated safety check: PassMIT
Spotinfoalexei-led/spotinfo164—~1.8kAutomated safety check: PassApache-2.0
Google Agents CLI Observabilitypifferologo/cloud-agents-cli1291 repos~2.5kAutomated safety check: PassApache-2.0
AWS Cost Operationszxkane/aws-skills3671 repos~2.4kAutomated safety check: PassMIT
FrugalyuanboP/frugal198—~2.1kAutomated safety check: PassMIT

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Works with

Categories

Questions about Analyze Cloud Costs

What does Analyze Cloud Costs do?

Analyze Langfuse Cloud infrastructure cost structure using Metabase cost marts. Analyze Cloud Costs is an agent skill from langfuse/langfuse. Analyze Langfuse Cloud infrastructure cost structure using Metabase cost marts.

When should I use Analyze Cloud Costs?

Analyze Cloud Costs fits situations like: asked about cloud spend; AWS versus ClickHouse cost splits; cost drivers by provider/service/usage type/account; daily cost per tracing event.

How do I install Analyze Cloud Costs in Claude Code?

Run `npx skills add langfuse/langfuse --skill analyze-cloud-costs -a claude-code`. Or copy the skill folder (.agents/skills/analyze-cloud-costs in langfuse/langfuse) into .claude/skills/analyze-cloud-costs in your project. Claude Code loads it when a task matches its description.

How do I install Analyze Cloud Costs in Codex?

Run `npx skills add langfuse/langfuse --skill analyze-cloud-costs -a codex`. Or copy the skill folder (.agents/skills/analyze-cloud-costs in langfuse/langfuse) into .agents/skills/analyze-cloud-costs in your project. Codex loads it when a task matches its description.

Can I use Analyze Cloud Costs in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add langfuse/langfuse --skill analyze-cloud-costs -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyze-cloud-costs, .gemini/skills/analyze-cloud-costs, .github/skills/analyze-cloud-costs and .opencode/skills/analyze-cloud-costs in your project.

What does Analyze Cloud Costs need to run?

SKILL.md names no scripts, command-line tools or credentials: Analyze Cloud Costs is instructions for the agent only.

Does Analyze Cloud Costs access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Analyze Cloud Costs safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Analyze Cloud Costs use?

Analyze Cloud Costs has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Analyze Cloud Costs use?

About 672 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 915 tokens, read only when the agent opens those files.

What are the alternatives to Analyze Cloud Costs?

Skills that share tags, products or a category with Analyze Cloud Costs: Cloud Cost Optimization (wshobson/agents, 40k stars), Spotinfo (alexei-led/spotinfo, 164 stars), Google Agents CLI Observability (pifferologo/cloud-agents-cli, 129 stars) and AWS Cost Operations (zxkane/aws-skills, 367 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analyze Cloud Costs?

langfuse (a GitHub organization) maintains it in langfuse/langfuse, which has 35,460 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 7, 2026.

Source: langfuse/langfuse on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.