astronomer-airflow

astronomer-airflow is a skill for Claude Code from wsauret/flywheel. It costs 56 tokens per session (1,609 once invoked), scanned A, original, MIT.

A development and operations guide for Apache Airflow 3.x projects managed with Astronomer. Airflow runs scheduled workflows, called DAGs, made up of connected tasks.

In plain words
What is it for?
Use it to create and trigger DAGs, start or stop Airflow locally, run tests, execute Airflow commands, and read task logs.
Why use it?
It gives a consistent way to start the local environment, run tests, inspect logs, and troubleshoot workflow runs.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Part of the flywheel plugin — 15 skills, 15 agents shipped together

Good fit Use it to create and trigger DAGs, start or stop Airflow locally, run tests, execute Airflow commands, and read task logs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wsauret/flywheel/astronomer-airflow
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 wsauret/flywheel --skill astronomer-airflow
Clone the repo
git clone --depth 1 https://github.com/wsauret/flywheel

Made for: Claude Code.

Or install flywheel, the plugin that ships this one along with the rest of its 15 skills, 15 agents.

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 astronomer-airflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/wsauret/flywheel/astronomer-airflow/github.svg)](https://agentmods.dev/skills/wsauret/flywheel/astronomer-airflow)
Your own site
<a href="https://agentmods.dev/skills/wsauret/flywheel/astronomer-airflow"><img src="https://agentmods.dev/badge/skills/wsauret/flywheel/astronomer-airflow/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 astronomer-airflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/wsauret/flywheel/astronomer-airflow"><img src="https://agentmods.dev/badge/skills/wsauret/flywheel/astronomer-airflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,609 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original 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 $0.00056 $0.01609
Opus 5 $0.00028 $0.00805
Sonnet 5 $0.00011 $0.00322
Haiku 4.5 $0.00006 $0.00161

Measured 10d ago against content hash 06df20a5c681, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

astronomer-airflow 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 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.

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.

flywheel/skills/astronomer-airflow/SKILL.md · 228 lines

How it starts

The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Airflow 3.x on Astronomer

Operational reference for developing, running, and debugging Airflow 3.x DAGs in an Astronomer-managed local environment.

Project-specific config: If the project has a references/repo-config.md alongside this skill, read it first for Makefile targets, environment setup, file layout conventions, and other repo-specific details.


Environment Lifecycle (Astro CLI)

Action Command
Start astro dev start
Stop astro dev stop
Restart astro dev restart
Kill (full teardown) astro dev kill
Run Airflow CLI commands astro dev run <subcommand>
Run pytest inside container astro dev run pytest tests/ -v

Default UI: http://localhost:8080 (credentials: admin / admin)

Port Conflicts

If port 8080 is already in use, stop the conflicting service first. Astro doesn't support custom webserver ports cleanly.

If port 5432 conflicts with a local Postgres, configure an alternate port in .astro/config.yaml.


DAG Development

DAG Decorator Pattern (Airflow 3.x)

from pathlib import Path
from airflow.sdk import dag
from pendulum import datetime

@dag(
    dag_id=Path(__file__).stem,    # Use filename as DAG ID
    start_date=datetime(2025, 1, 1, tz="UTC"),
    schedule=None,
    catchup=False,
    doc_md=__doc__,                # Module docstring as docs
    tags=["example"],
)
def my_pipeline() -> None:
    ...

my_pipeline()  # Must be called at module bottom

Key points:

  • Import dag from airflow.sdk, not airflow.decorators
  • Always call the decorated function at module level so Airflow discovers it
  • Use Path(__file__).stem for dag_id to keep IDs in sync with filenames

.airflowignore

Airflow respects .airflowignore files in the dags/ directory to exclude paths from DAG parsing. If a DAG doesn't appear in the UI or dags list, check this file first.

DAG Loading and Reserializing

After creating or modifying a DAG:

  1. Wait ~15 seconds for the scheduler to pick it up
  2. Or force a reparse: astro dev run dags reserialize
  3. Verify it loaded: astro dev run dags list | grep <dag_name>
  4. Check for errors: astro dev run dags list-import-errors

Read the full file on GitHub · 228 lines

Files

What ships with it

1 file beside SKILL.md 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.

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 · 228 lines · 56 tokens per session scan A 06df20a5c681

Subscribe to this mod's changes

astronomer-airflow is a skill published in the GitHub repository wsauret/flywheel (14 stars, last pushed 6d ago), licensed MIT. It adds 56 tokens to every session and 1,609 once invoked, about $0.0003 per session on Opus 5. 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 2026-08-30.