Guidance for developing Apache Airflow workflows with the Astronomer command-line tool. Airflow is a system for scheduling and running connected jobs, called DAGs, on a timetable or trigger.

Use it to start a local Airflow environment, validate DAG files, run task tests, and debug scheduled workflows.

It provides a local process for checking workflow files and testing tasks before relying on the scheduler. It also helps investigate configuration and runtime problems.

airflow — Skill for Claude Code and Codex by fmind/dot

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 fmind/dot --skill airflow

Clone the repo

git clone --depth 1 https://github.com/fmind/dot

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/fmind/dot/airflow/github.svg)](https://agentmods.dev/skills/fmind/dot/airflow)

Your own site

<a href="https://agentmods.dev/skills/fmind/dot/airflow"><img src="https://agentmods.dev/badge/skills/fmind/dot/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/fmind/dot/airflow"><img src="https://agentmods.dev/badge/skills/fmind/dot/airflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 922 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.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00018	$0.00922
Opus 5.5	$0.00007	$0.00369
Sonnet 5.5	$0.00004	$0.00184
Haiku 4.5	$0.00002	$0.00092

Measured 8d ago against content hash 2b5e9a209688, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 8d 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.

skills/airflow/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Apache Airflow with Astronomer CLI

Use astro for local Apache Airflow development, DAG authoring, task testing, and debugging. python-stack owns Python package conventions and docker manages container runtimes.

Docker mode (the default) needs an existing Docker-compatible engine; run dot doctor --headroom before the first image pull or build. --standalone runs Airflow on the host without Docker. Workstation tools disable anonymous telemetry (ASTRO_TELEMETRY_DISABLED=1). Inspect the project's Airflow version before choosing service flags (--api-server and --dag-processor for Airflow 3; --webserver for Airflow 2).

Workflow

Start local environment: --no-browser keeps the UI from opening.
```
astro dev start --no-browser
```
Validate DAG syntax and integrity: parse DAG files to catch import and configuration errors without waiting for the scheduler.
```
astro dev parse
```
Test tasks and runs: execute unit tests or run individual tasks directly inside the local environment.
```
astro dev pytest
astro dev run tasks test <dag_id> <task_id>
```
Inspect service and task logs: select the relevant component and keep --follow opt-in.
```
astro dev logs --scheduler
astro dev logs --api-server
```
Stop or rebuild environment: stop containers when done or rebuild when changing dependencies in requirements.txt.
```
astro dev stop
# After changing requirements.txt or Dockerfile:
astro dev restart
```

Gotchas

Author Airflow 3 DAGs with airflow.sdk: import dag, task, and DAG from airflow.sdk; ruff check --select AIR3 flags removed and deprecated Airflow 2 imports before astro dev upgrade-test.
Proxy URLs replace fixed ports: by default a shared reverse proxy serves each project at http://<project>.localhost:6563 on random backend ports; astro dev proxy status lists each project's URL and Postgres port. --no-proxy restores fixed ports (8080 for the API server or webserver, 5432 for Postgres), which can collide with local services.
Task tests record no state: astro dev run tasks test runs a single task without recording state in the Airflow database; upstream task dependencies must be handled or mocked.
Run upgrade-test before upgrading: before moving to a newer Airflow or Astro Runtime (including Airflow 2 to 3), run astro dev upgrade-test (optionally --airflow-version <version>); it reports dependency changes, DAG import errors, and deprecation lint without modifying the project.

Read the full file on GitHub · 71 lines

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.

8d ago Changed · -2 lines 2b5e9a209688
10d ago Changed fb5fa10904d9
11d ago Changed · -3 lines · -1 tokens per session cf1425268893
13d ago Changed c373b5b8bce5
19d ago Changed 68d681329514
27d ago Changed 73a247bd58f9
29d ago First seen · 76 lines · 19 tokens per session scan A 43624df318fa

Subscribe to this mod's changes

airflow is a skill published in the GitHub repository fmind/dot (11 stars, last pushed 2d ago), licensed MIT. It adds 18 tokens to every session and 922 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-17.

Claude Code Containers DevOps and cloud Testing Unit testing ai-agents chezmoi dotfiles fish-shell mise

codecov

Query Codecov for flaky-test signal, failure history, and coverage data via the codecov-api wrapper. Use when asked about flaky tests, intermittent test failures, why a test is failing, coverage on a PR/file/branch, or whenever browser access to Codecov is blocked by the login wall.

alunduil/alunduil-chezmoi · 63 tokens

airflow

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

Apache Airflow with Astronomer CLI

Workflow

Gotchas

What this file has done since we first saw it

Other skills, from other repositories

codecov

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