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.
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 skills add apache/airflow --skill sql-reportinggit 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/sql-reporting)<a href="https://agentmods.dev/skills/apache/airflow/sql-reporting"><img src="https://agentmods.dev/badge/skills/apache/airflow/sql-reporting/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/sql-reporting"><img src="https://agentmods.dev/badge/skills/apache/airflow/sql-reporting.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 | $0.00034 | $0.00316 |
| Opus 5.5 | $0.00014 | $0.00126 |
| Sonnet 5.5 | $0.00007 | $0.00063 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
sql-reporting 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 1mo 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
SQL Reporting Skill
Apply this skill before writing or running any analytics SQL so reports stay consistent and safe.
When to Use This Skill
Use this skill when the task involves:
- Querying warehouse tables for a metric, report, or dashboard figure
- Aggregating rows (counts, sums, rolling windows)
- Cross-referencing two or more tables
Conventions
- Always
SELECTexplicit column names, neverSELECT *. - Filter on a partition/date column first to bound the scan.
- Alias aggregates with snake_case names (
order_count, notcount(*)). - Cap exploratory queries with
LIMITunless an aggregate already collapses the result set. - Prefer
COUNT(DISTINCT ...)over a sub-query when de-duplicating.
Review Checklist (run before returning an answer)
- No
SELECT *. - A date or partition predicate is present.
- Every aggregate has an explicit alias.
- The query reads only from tables the task actually needs.
Output Format
Return the final SQL in a fenced ```sql block, then one sentence describing what the query returns.
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.
- 1mo ago First seen · 42 lines · 34 tokens per session scan A 2a3c0b7ba27d
sql-reporting is a skill published in the GitHub repository apache/airflow (47,236 stars, last pushed today), licensed Apache-2.0. It adds 34 tokens to every session and 316 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 2026-08-30.
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