cloud-data-engineering: This repository include the Roadmap for Cloud Data Engineering

by aiwithqasim · Claude Skill · ★ 59

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 64/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

awsazurecicdclaude-codedbtdockerpython3snowflakesql-server

Quick Facts

Stars59
Forks138
LanguageJupyter Notebook
CategoryClaude Skill
LicenseMIT
Quality Score64/100
Open Issues1
Last Updated2026-08-03
Created2024-03-18
Platformsaws, claude-code, docker
Est. Tokens~20k

About cloud-data-engineering

CLOUD DATA ENGINEERING ⚠️  FOR FACULTY — GUIDELINES ON COURSE CONTENT Do not teach topics outside the defined scope of this roadmap. If you feel a topic is important or valuable for students, discuss and coordinate with Qasim first before introducing it in class. Do not modify, rename, or restructure any course content, file paths, or folder structure without prior approval.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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