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 dagster-io · AI Skill · ★ 203
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skills safe to install? View the security audit →
Dagster Skills AI assistant skills for building workflows and data pipelines using Dagster. Compatible with Claude Code, Cursor, OpenCode, OpenAI Codex, Pi, and other Agent Skills-compatible tools. Installation Claude Code Install using the Claude plugin marketplace: Using Install using the command-line: Manual Installation See full instructions... Clone the repository and copy skills to your tool's skills directory: OpenCode: OpenAI Codex: Pi Agent: Skills Expert guidance for building production-quality Dagster projects, covering CLI commands, asset patterns, automation strategies
| Stars | 203 |
| Forks | 16 |
| Language | Python |
| Category | AI Skill |
| License | Apache-2.0 |
| Quality Score | 68.2313011936008/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-14 |
| Created | 2026-01-14 |
| Platforms | claude-code, python |
| Est. Tokens | ~14k |
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skills is A collection of AI skills for working with Dagster. It is categorized as a AI Skill with 203 GitHub stars.
skills is primarily written in Python. It covers topics such as ai-tools, claude-code, dagster.
You can find installation instructions and usage details in the skills GitHub repository at github.com/dagster-io/skills. The project has 203 stars and 16 forks, indicating an active community.
skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to skills on Agent Skills Hub include claude-code-hooks, photon, cc-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: