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 genspark-ai · Codex Skill · ★ 7.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is genoffice safe to install? View the security audit →
GenOffice The world's first full-featured open-source AI Office suite. Word, Excel, PowerPoint and PDF files, edited by you and your AI, saved back in the real formats. English · Español · Português (Brasil) · Deutsch · Français · <a href="docs/i18
| Stars | 7,297 |
| Forks | 955 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 57.1726031177412/100 |
| Open Issues | 29 |
| Last Updated | 2026-09-20 |
| Created | 2026-07-31 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~22k |
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genoffice is Free, open-source AI Office suite: Docs, Sheets, Slides, PDF, Markdown and HTML editors with a built-in AI agent, plus a `genoffice` CLI and agent skill so Claude Code, Codex and Cursor can create and. It is categorized as a Codex Skill with 7.3k GitHub stars.
genoffice is primarily written in TypeScript. It covers topics such as ai, ai-agent, claude-code.
You can find installation instructions and usage details in the genoffice GitHub repository at github.com/genspark-ai/genoffice. The project has 7.3k stars and 955 forks, indicating an active community.
genoffice is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to genoffice on Agent Skills Hub include OfficeCLI, ai-guide, skillshare. 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: