dataops-workflow-orchestration-review

dataops-workflow-orchestration-review is a skill for Claude Code, Codex from ivanshamaev/de-agent-skills. It costs 87 tokens per session (2,429 once invoked), scanned A, original, no licence file.

A guide for comparing tools that run data workflows, including Airflow, Prefect, Dagster, and Temporal. It covers how they execute tasks, manage dependencies, and show workflow health.

In plain words
What is it for?
Use it to compare orchestrators, decide between scheduled and event-driven workflows, assess options with a scorecard, and plan migrations from Airflow.
Why use it?
It helps teams choose an orchestration tool based on their architecture and triggering needs instead of comparing product names alone. It also explains common ways to move workflows from Airflow.

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 compare orchestrators, decide between scheduled and event-driven workflows, assess options with a scorecard, and plan migrations from Airflow.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ivanshamaev/de-agent-skills/dataops_workflow_orchestration_review
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 dataops_workflow_orchestration_review
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 dataops-workflow-orchestration-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/ivanshamaev/de-agent-skills/dataops_workflow_orchestration_review/github.svg)](https://agentmods.dev/skills/ivanshamaev/de-agent-skills/dataops_workflow_orchestration_review)
Your own site
<a href="https://agentmods.dev/skills/ivanshamaev/de-agent-skills/dataops_workflow_orchestration_review"><img src="https://agentmods.dev/badge/skills/ivanshamaev/de-agent-skills/dataops_workflow_orchestration_review/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 dataops-workflow-orchestration-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/ivanshamaev/de-agent-skills/dataops_workflow_orchestration_review"><img src="https://agentmods.dev/badge/skills/ivanshamaev/de-agent-skills/dataops_workflow_orchestration_review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,429 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 $0.00087 $0.02429
Opus 5 $0.00044 $0.01215
Sonnet 5 $0.00017 $0.00486
Haiku 4.5 $0.00009 $0.00243

Measured 10d ago against content hash 42b481aa2514, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

dataops-workflow-orchestration-review 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 10d 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/infra_dataops_group_skills/dataops_workflow_orchestration_review/SKILL.md · 335 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. 10d ago First seen · 335 lines · 87 tokens per session scan A 42b481aa2514

Subscribe to this mod's changes

dataops-workflow-orchestration-review is a skill published in the GitHub repository ivanshamaev/de-agent-skills (18 stars, last pushed 3mo ago), with no licence file. It adds 87 tokens to every session and 2,429 once invoked, about $0.0004 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.

Related

Other skills, from other repositories

skill-news-intelligence

A daily industry-news research workflow that gathers in-depth articles and updates from Chinese technology, business, creator, and AI publications. It filters the results by a creator’s field and turns them into a brief with possible content topics.

ZJU-REAL/Easel · 104 tokens

skill-topic-evaluator

A topic-evaluation tool that scores one proposed content idea across audience interest, account fit, competition, timing, revenue potential, effort, and compliance risk.

ZJU-REAL/Easel · 173 tokens

style-transfer

A rewriting tool that changes the style of existing copy while keeping its main meaning. It can make text more humorous, conversational, literary, professional, sharp, or suited to social media.

ZJU-REAL/Easel · 167 tokens

offer-compare-skill

A decision assistant for comparing two or more job offers across pay, growth, company strength, team risk, promotion, AI exposure, and lifestyle. Total compensation means the combined value of salary, bonuses, shares, and sign-on payments.

yanliudesign/offer-toolkit-skill · 231 tokens

karpathy-llm-wiki

Use when building or maintaining a personal LLM-powered knowledge base. Triggers: ingesting sources into a wiki, querying wiki knowledge, linting wiki quality, 'add to wiki', 'what do I know about', or any mention of 'LLM wiki' or 'Karpathy wiki'.

Astro-Han/karpathy-llm-wiki · 67 tokens

proxies

Oxylabs proxy networks: Residential, Mobile, shared Datacenter/ISP, and Dedicated Datacenter/ISP proxies with geo-targeting, IP rotation, session persistence, and port-based sticky IPs. Use when routing traffic through proxies, building scrapers with proxy auth, rotating or sticky sessions, whitelisting IPs, or…

oxylabs/agent-skills · 76 tokens