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 zokrezyl · Agent Tool · ★ 90
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is yetty safe to install? View the security audit →
Yetty (https://yetty.dev) Yetty is a GPU-accelerated terminal and rich-content runtime. It keeps normal terminal workflows intact, but lets programs place plots, images, diagrams, documents, video, GUI panels, remote desktops, and AI-generated figures directly into the same scrolling surface as text. Pure C. WebGPU-rendered. FFI-first. Built around small composable modules. License: Business Source License 1.1 for Yetty's own code. Non-production use is free; production use requires a commercial license. Bundled third-party components keep their own licenses. See LICENSE and DEPENDENCIES.md. Status: Early alpha. Many core paths are usable, but APIs and internals are still changing quickly. Install Three sizes, one line each. Linux and macOS: Windows (PowerShell): Each script downloads the matching installer for your platform from the latest release and runs
| Stars | 90 |
| Forks | 3 |
| Language | C |
| Category | Agent Tool |
| Quality Score | 50.4471374110762/100 |
| Open Issues | 98 |
| Last Updated | 2026-09-05 |
| Created | 2026-05-03 |
| Platforms | browser, cli |
| Est. Tokens | ~14k |
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yetty is GPU terminal with rich inline figures for CLI tools, AI agents, plots, documents, and remote UI.. It is categorized as a Agent Tool with 90 GitHub stars.
yetty is primarily written in C. It covers topics such as android, c, cross-platform.
You can find installation instructions and usage details in the yetty GitHub repository at github.com/zokrezyl/yetty. The project has 90 stars and 3 forks, indicating an active community.
The top alternatives to yetty on Agent Skills Hub include MasterSelects, flutter-skill, ouijit. 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: