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 datagallery-ai · Agent Tool · ★ 767
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is dataagent safe to install? View the security audit →
DataFoundry An enterprise-grade Data Agent workbench — it reads business definitions through unified semantics, runs complex multi-table, multi-step analysis inside read-only boundaries, and keeps every step auditable and replayable, turning one question into a trustworthy analysis. 28 datasource types out of the box · Enterprise semantics & context · Self-hosted · Multi-model · Fully auditable English · 简体中文 Quick Start · Docs · Supported Data Sources · Roadmap · Contributing <a h
| Stars | 767 |
| Forks | 107 |
| Language | TypeScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 65.406248058635/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-17 |
| Created | 2026-06-18 |
| Platforms | node |
| Est. Tokens | ~18k |
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DataFoundry is an open-source AI workbench for data analysis, unifying data sources, knowledge, tools, and age
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dataagent is DataFoundry is an open-source AI workbench for data analysis, unifying data sources, knowledge, tools, and agent runtime into a governed workspace for interactive analytics.. It is categorized as a Agent Tool with 767 GitHub stars.
dataagent is primarily written in TypeScript. It covers topics such as ag-ui, agent-runtime, ai.
You can find installation instructions and usage details in the dataagent GitHub repository at github.com/datagallery-ai/dataagent. The project has 767 stars and 107 forks, indicating an active community.
dataagent is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to dataagent on Agent Skills Hub include datafoundry, trpc-agent-go, golf. 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: