dataops-airflow-cost-optimizer

dataops-airflow-cost-optimizer is a skill for Claude Code, Codex from ivanshamaev/de-agent-skills. It costs 96 tokens per session (2,465 once invoked), scanned A, original, no licence file.

A set of practices for lowering the cost of Apache Airflow, a tool that schedules data jobs. It covers Kubernetes task sizing, spot machines, task grouping, concurrency limits, worker cleanup, log storage, and the metadata database.

In plain words
What is it for?
Use it to review CPU and memory requests against actual usage, run batch tasks on spot machines, limit parallel work with pools, clean up idle workers, and set S3 log-retention rules.
Why use it?
It helps prevent over-provisioned machines, unnecessary Kubernetes pods, unused workers, and excessive log or database storage. This can make scheduled data workflows less expensive to run.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to review CPU and memory requests against actual usage, run batch tasks on spot machines, limit parallel work with pools, clean up idle workers, and set S3 log-retention rules.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ivanshamaev/de-agent-skills/dataops_airflow_cost_optimizer
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 ivanshamaev/de-agent-skills --skill dataops_airflow_cost_optimizer
Clone the repo
git clone --depth 1 https://github.com/ivanshamaev/de-agent-skills

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 dataops-airflow-cost-optimizer

README.md
[![agentmods](https://agentmods.dev/badge/skills/ivanshamaev/de-agent-skills/dataops_airflow_cost_optimizer/github.svg)](https://agentmods.dev/skills/ivanshamaev/de-agent-skills/dataops_airflow_cost_optimizer)
Your own site
<a href="https://agentmods.dev/skills/ivanshamaev/de-agent-skills/dataops_airflow_cost_optimizer"><img src="https://agentmods.dev/badge/skills/ivanshamaev/de-agent-skills/dataops_airflow_cost_optimizer/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 dataops-airflow-cost-optimizer

Your own site · 80×15
<a href="https://agentmods.dev/skills/ivanshamaev/de-agent-skills/dataops_airflow_cost_optimizer"><img src="https://agentmods.dev/badge/skills/ivanshamaev/de-agent-skills/dataops_airflow_cost_optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 96 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,465 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00096 $0.02465
Opus 5 $0.00048 $0.01233
Sonnet 5 $0.00019 $0.00493
Haiku 4.5 $0.00010 $0.00247

Measured 10d ago against content hash 4d7fa828857c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

dataops-airflow-cost-optimizer scanned grade A with 1 finding 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 10d 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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

result = subprocess.run(
group_skills/infra_dataops_group_skills/dataops_airflow_cost_optimizer/SKILL.md · 314 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 10d ago First seen · 314 lines · 96 tokens per session scan A 4d7fa828857c

Subscribe to this mod's changes

dataops-airflow-cost-optimizer is a skill published in the GitHub repository ivanshamaev/de-agent-skills (18 stars, last pushed 3mo ago), with no licence file. It adds 96 tokens to every session and 2,465 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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