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.
npx agentmods add skills/astronomer/agents/airflow-adapternpx skills add astronomer/agents --skill airflow-adaptergit clone --depth 1 https://github.com/astronomer/agentsWrote 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/astronomer/agents/airflow-adapter)<a href="https://agentmods.dev/skills/astronomer/agents/airflow-adapter"><img src="https://agentmods.dev/badge/skills/astronomer/agents/airflow-adapter.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00046 | $0.00261 |
| Opus 5 | $0.00023 | $0.00130 |
| Sonnet 5 | $0.00009 | $0.00052 |
| Haiku 4.5 | $0.00005 | $0.00026 |
Grade A, and why
airflow-adapter 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 6d 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.
What it actually says
Airflow Adapter Pattern
Enables compatibility with both Airflow 2.x (/api/v1) and 3.x (/api/v2).
Architecture
MCP Tool → _get_adapter() → AirflowV2Adapter or AirflowV3Adapter → Airflow API
Version is auto-detected at startup.
Key Files
adapters/base.py- Abstract interfaceadapters/airflow_v2.py- Airflow 2.x (/api/v1)adapters/airflow_v3.py- Airflow 3.x (/api/v2)
Related Files
- @api-differences.md - V2 vs V3 field/endpoint differences
- @patterns.md - Implementation patterns
Quick Reference
adapter = _get_adapter()
dags = adapter.list_dags(limit=100)
run = adapter.trigger_dag_run("my_dag", conf={"key": "value"})
What ships with it
2 files 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.
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.
- 6d ago First seen · 36 lines · 46 tokens per session scan A ae70e850019d
airflow-adapter is a skill published in the GitHub repository astronomer/agents (433 stars, last pushed 2d ago), licensed Apache-2.0. It adds 46 tokens to every session and 261 once invoked, about $0.0002 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.
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