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 Jakubantalik · Agent Tool · ★ 2.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is thinking-orbs safe to install? View the security audit →
thinking-orbs Dotted thought-orb loading indicators for AI & agent UIs. Nine hand-tuned animated states, each shipped at two purpose-tuned sizes, rendered on a plain 2D canvas — no WebGL, no filters, works identically in Chrome, Safari and Firefox. Live demo · Repository · Report an issue Install Quick start States Nine verbs an agent can be doing, each a distinct animation: Sizes Two tuned presets — separate designs, not a scale factor. for chat-a
| Stars | 2,682 |
| Forks | 211 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 72.7774161473535/100 |
| Open Issues | 20 |
| Last Updated | 2026-08-16 |
| Created | 2026-07-21 |
| Platforms | node |
| Est. Tokens | ~14k |
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thinking-orbs is Dotted thought-orb loading indicators for AI & agent UIs, 9 tuned types, two sizes, auto dark/light. It is categorized as a Agent Tool with 2.7k GitHub stars.
thinking-orbs is primarily written in TypeScript. It covers topics such as ai, ai-agents, chat.
You can find installation instructions and usage details in the thinking-orbs GitHub repository at github.com/Jakubantalik/thinking-orbs. The project has 2.7k stars and 211 forks, indicating an active community.
thinking-orbs is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to thinking-orbs on Agent Skills Hub include ux-ui-agent-skills, tool-ui, hexstrike-ai. 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: