No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by AltimateAI · Claude Skill · ★ 116
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is data-engineering-skills safe to install? View the security audit →
Data Engineering Skills Claude Code skills for Analytics & Data engineers working with dbt and Snowflake Altimate Data Skills is a collection of Claude Code skills that encode the workflows and best practices of experienced analytics engineers. These skills transform Claude from a code generator into a capable data engineering assistant. Key Results 53% accuracy on ADE-bench (43 real-world dbt tasks) 3x improvement on model creation tasks vs baseline 84% pass rate on Snowflake query optimization (62 TPC-H queries, 1TB dataset) 3.6x better performance gains vs baseline (16.8% avg improvement vs 4.7%) Skills that teach Claude how to work, not just what to write Quick Start Install individual skill packs: Available Skills dbt Skills Model
| Stars | 116 |
| Forks | 9 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 73.5649359939686/100 |
| Open Issues | 4 |
| Last Updated | 2026-07-16 |
| Created | 2026-01-21 |
| Platforms | claude-code |
| Est. Tokens | ~10k |
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data-engineering-skills is Skills related to Data Engineering Work for Claude Code. It is categorized as a Claude Skill with 116 GitHub stars.
You can find installation instructions and usage details in the data-engineering-skills GitHub repository at github.com/AltimateAI/data-engineering-skills. The project has 116 stars and 9 forks, indicating an active community.
data-engineering-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to data-engineering-skills on Agent Skills Hub include claude-elixir-phoenix, agents, tutor-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: