trino-airflow-lakehouse-pipelines

trino-airflow-lakehouse-pipelines is a skill for Claude Code, Codex from ivanshamaev/de-agent-skills. It costs 109 tokens per session (3,179 once invoked), scanned A, original, no licence file.

A guide to building Airflow workflows for Iceberg lakehouse data pipelines. A lakehouse combines data-lake storage with organized tables and warehouse-style analysis.

In plain words
What is it for?
Use it to schedule ETL tasks, compact tables, expire old snapshots, remove abandoned files, backfill partitions, and process late-arriving data.
Why use it?
It helps structure transformations, maintenance, backfills, and late data handling across Bronze, Silver, and Gold layers.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to schedule ETL tasks, compact tables, expire old snapshots, remove abandoned files, backfill partitions, and process late-arriving data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ivanshamaev/de-agent-skills/trino_airflow_lakehouse_pipelines
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 ivanshamaev/de-agent-skills --skill trino_airflow_lakehouse_pipelines
Clone the repo
git clone --depth 1 https://github.com/ivanshamaev/de-agent-skills

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.

agentmods badge for trino-airflow-lakehouse-pipelines

README.md
[![agentmods](https://agentmods.dev/badge/skills/ivanshamaev/de-agent-skills/trino_airflow_lakehouse_pipelines/github.svg)](https://agentmods.dev/skills/ivanshamaev/de-agent-skills/trino_airflow_lakehouse_pipelines)
Your own site
<a href="https://agentmods.dev/skills/ivanshamaev/de-agent-skills/trino_airflow_lakehouse_pipelines"><img src="https://agentmods.dev/badge/skills/ivanshamaev/de-agent-skills/trino_airflow_lakehouse_pipelines/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 trino-airflow-lakehouse-pipelines

Your own site · 80×15
<a href="https://agentmods.dev/skills/ivanshamaev/de-agent-skills/trino_airflow_lakehouse_pipelines"><img src="https://agentmods.dev/badge/skills/ivanshamaev/de-agent-skills/trino_airflow_lakehouse_pipelines.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,179 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 unknown 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 $0.00109 $0.03179
Opus 5 $0.00055 $0.01589
Sonnet 5 $0.00022 $0.00636
Haiku 4.5 $0.00011 $0.00318

Measured 9d ago against content hash 28f677f18ef2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

trino-airflow-lakehouse-pipelines 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 9d 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.

group_skills/trino_group_skills/trino_airflow_lakehouse_pipelines/SKILL.md · 370 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 9d ago First seen · 370 lines · 109 tokens per session scan A 28f677f18ef2

Subscribe to this mod's changes

trino-airflow-lakehouse-pipelines is a skill published in the GitHub repository ivanshamaev/de-agent-skills (18 stars, last pushed 3mo ago), with no licence file. It adds 109 tokens to every session and 3,179 once invoked, about $0.0005 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 2026-09-03.

Related

Other skills, from other repositories

azure-ai-projects-java

Azure AI Projects SDK for Java. High-level SDK for Azure AI Foundry project management including connections, datasets, indexes, and evaluations. Triggers: "AIProjectClient java", "azure ai projects java", "Foundry project java", "ConnectionsClient", "DatasetsClient", "IndexesClient".

microsoft/skills · 66 tokens

os-big-picture

ALWAYS invoke this skill when the user asks where the project as a whole stands - "where are we", "what's the big picture", "what have we built", "what is in this project", "map the project", "what does this thing even do", "what is stale", "what can we delete", "update the roadmap" - in any language, and whenever a…

kharmanskyi/open-steps · 180 tokens

agentsop-dify

SOP for building LLM applications on Dify — visual workflow + chatflow + agent + RAG knowledge base + plugin marketplace + observability, self-hostable. Use when shipping LLM apps fast with a "no-code to pro-code" gradient, especially when non-engineers need to co-author the flow.

agentsope/SkillAlchemy · 69 tokens

agentsop-dspy

Operating SOP for DSPy (Stanford NLP) — the declarative framework for "programming, not prompting" language models. Activate when the user says any of: "use DSPy", "compile a prompt", "optimize prompts/programs", "MIPRO/MIPROv2", "BootstrapFewShot", "GEPA", "Signatures + Modules", "teleprompter", "auto-tune prompts…

agentsope/SkillAlchemy · 157 tokens

agentsop-hybrid-retrieval

Enhancement-overlay SOP for adding sparse (BM25 / keyword) retrieval alongside dense (embedding) retrieval. Activate when a calling agent is building, reviewing, or debugging a retrieval pipeline whose corpus contains exact-match tokens — identifiers, error codes, SKUs, API/function names, proper nouns, citations…

agentsope/SkillAlchemy · 173 tokens

agentsop-idempotent-ingestion

Re-ingest-correctness SOP for production RAG. Activate when a calling agent builds, reviews, or debugs an ingestion pipeline that runs more than once over a changing corpus — scheduled re-index, incremental updates, CI re-ingest, or a "retrieval has duplicates / shows deleted docs" bug. Encodes the rule — ingestion…

agentsope/SkillAlchemy · 205 tokens