dataops-airflow-production-readiness

dataops-airflow-production-readiness is a skill for Claude Code, Codex from ivanshamaev/de-agent-skills. It costs 96 tokens per session (2,322 once invoked), scanned A, original, no licence file.

A checklist for running Apache Airflow reliably in production, where it schedules recurring data workflows. It covers repeat-safe tasks, executor setup, secrets, retries, service targets, pools, and concurrent-run limits.

In plain words
What is it for?
Use it to review UPSERT or partition-overwrite logic, move settings into tasks, configure KubernetesExecutor, manage connections and variables safely, add backoff retries and SLA callbacks, and control parallel runs.
Why use it?
It helps avoid duplicate data, broken deployments caused by code running during DAG parsing, exposed credentials, and unstable retries or overload.

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 UPSERT or partition-overwrite logic, move settings into tasks, configure KubernetesExecutor, manage connections and variables safely, add backoff retries and SLA callbacks, and control parallel runs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ivanshamaev/de-agent-skills/dataops_airflow_production_readiness
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_production_readiness
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-production-readiness

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ivanshamaev/de-agent-skills/dataops_airflow_production_readiness"><img src="https://agentmods.dev/badge/skills/ivanshamaev/de-agent-skills/dataops_airflow_production_readiness.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 2,322 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 $0.02322
Opus 5 $0.00048 $0.01161
Sonnet 5 $0.00019 $0.00464
Haiku 4.5 $0.00010 $0.00232

Measured 11d ago against content hash c506b8a2b971, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

dataops-airflow-production-readiness 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 11d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl http://airflow-webserver:8080/health
group_skills/infra_dataops_group_skills/dataops_airflow_production_readiness/SKILL.md · 312 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. 11d ago First seen · 312 lines · 96 tokens per session scan A c506b8a2b971

Subscribe to this mod's changes

dataops-airflow-production-readiness 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 2,322 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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