Apache Airflow is a platform for defining, scheduling, and monitoring workflows as code, with a scheduler assigning dependent tasks to workers. Teams use it to orchestrate automated data and software pipelines and inspect their progress through a user interface. Its catalogue skills and instructions help agents work with Airflow.
Borrowing it
Nothing to install: this file belongs to apache/airflow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/apache/airflow/main/.agents/skills/airflow-new-sdk/SKILL.mdgit clone --depth 1 https://github.com/apache/airflowWrote 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.
[](https://agentmods.dev/skills/apache/airflow/airflow-new-sdk)<a href="https://agentmods.dev/skills/apache/airflow/airflow-new-sdk"><img src="https://agentmods.dev/badge/skills/apache/airflow/airflow-new-sdk/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.
<a href="https://agentmods.dev/skills/apache/airflow/airflow-new-sdk"><img src="https://agentmods.dev/badge/skills/apache/airflow/airflow-new-sdk.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00127 | $0.01695 |
| Opus 5.5 | $0.00051 | $0.00678 |
| Sonnet 5.5 | $0.00025 | $0.00339 |
| Haiku 4.5 | $0.00013 | $0.00169 |
Grade A, and why
airflow-new-sdk 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implementing a new language SDK for Airflow
Start here
Read contributing-docs/30_new_language_sdk.rst first. It is the
authoritative contributor guide for this topic — coordinator base class choices,
wire protocol spec, bundle footer format, and testing requirements. Everything
in this skill builds on top of it, not alongside it.
Repository layout
Every new SDK needs two things. The coordinator (Python) goes here:
task-sdk/src/airflow/sdk/coordinators/<language>/
__init__.py # re-export + module docstring
coordinator.py # subclass of SubprocessCoordinator or BaseCoordinator
task-sdk/tests/coordinators/<language>/
test_coordinator.py
task-sdk/tests/integration/coordinators/<language>/
test_integration.py # requires Breeze
The language SDK itself lives in a top-level <language>-sdk/ directory (like
java-sdk/ and go-sdk/). For native-executable languages using
ExecutableCoordinator, no coordinator code is needed at all.
Choosing the right base class — quick guide
Does the runtime compile to a self-contained native executable?
YES → Use ExecutableCoordinator (zero Python to write).
Append an AFBNDL01 footer with a packer tool (see go-sdk reference).
NO →
Does it start via a single shell command (node, ruby, dotnet, …)?
YES → Subclass SubprocessCoordinator.
Implement _build_execute_task_command only (see 30_new_language_sdk.rst).
NO →
Subclass BaseCoordinator and implement execute_task from scratch.
(Rare: gRPC daemons, shared memory, persistent processes.)
The full rationale, method signature, and socket lifecycle for each path are in
30_new_language_sdk.rst. Read that section before writing any code.
Reference implementations to study
| What to study | Where |
|---|---|
| SubprocessCoordinator base class | task-sdk/src/airflow/sdk/coordinators/_subprocess.py |
| Java coordinator (SubprocessCoordinator subclass) | task-sdk/src/airflow/sdk/coordinators/java/coordinator.py |
| ExecutableCoordinator (native bundles) | task-sdk/src/airflow/sdk/coordinators/executable/coordinator.py |
| Wire protocol in Kotlin | java-sdk/sdk/src/main/kotlin/org/apache/airflow/sdk/execution/ |
| Wire protocol in Go | go-sdk/pkg/execution/ |
| AFBNDL01 footer (Go reference) | go-sdk/internal/bundlefooter/, task-sdk/docs/executable-bundle-spec.rst |
| All message types and field specs | task-sdk/src/airflow/sdk/execution_time/schema/schema.json |
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.
- 2mo ago First seen · 161 lines · 127 tokens per session scan A f098050628df
airflow-new-sdk is a skill published in the GitHub repository apache/airflow (47,377 stars, last pushed yesterday), licensed Apache-2.0. It adds 127 tokens to every session and 1,695 once invoked, about $0.0005 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 2026-08-30.
airflow-new-sdk compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| airflow-new-sdkapache/airflow | Skill | 47k | yesterday | Apache-2.0 | A | 127 | Claude Code, Codex |
| authoring-dagsastronomer/agents | Skill | 458 | 4d ago | Apache-2.0 | A | 93 | Claude Code |
| codexerPracticalSwan/agent-skills | Skill | 24 | 18d ago | MIT | A | 38 | Codex |
| airflow-workflowDatus-ai/Datus-agent | Skill | 1.9k | yesterday | none | A | 24 | Claude Code |
| create-pubsub-pythondiagrid-labs/dapr-skills | Skill | 13 | 20d ago | MIT | A | 70 | Claude Code |
| create-workflow-pythondiagrid-labs/dapr-skills | Skill | 13 | 20d ago | MIT | A | 49 | Claude Code |
| jamjet-durability-patternsjamjet-labs/jamjet | Skill | 23 | 2d ago | Apache-2.0 | A | 36 | Claude Code, Codex |