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 SikandarJODD · Agent Tool · ★ 108
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is sv-agentation safe to install? View the security audit →
Svelte Agentation Live Preview: Svelte Agentation Overview Svelte Agentation turns UI annotations into structured context that AI coding agents can understand and act on. Installation Usage Mount the inspector only in development and only in the browser. Open in Editor Annotation Callbacks svelte import { browser, dev } from '$app/environment'; import { Agentation } from 'sv-agentation'; import type { Annotation, AnnotationPayload } from 'sv-agentation'; function handleAnnotationAdd(annotation: Annotation) { co
| Stars | 108 |
| Forks | 4 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 75.0643452503511/100 |
| Open Issues | 3 |
| Last Updated | 2026-08-13 |
| Created | 2026-03-14 |
| Platforms | node |
| Est. Tokens | ~16k |
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sv-agentation is Svelte Agentation : The visual feedback tool for agents.. It is categorized as a Agent Tool with 108 GitHub stars.
sv-agentation is primarily written in TypeScript. It covers topics such as agentation, ai-context, annotations.
You can find installation instructions and usage details in the sv-agentation GitHub repository at github.com/SikandarJODD/sv-agentation. The project has 108 stars and 4 forks, indicating an active community.
sv-agentation is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to sv-agentation on Agent Skills Hub include aictx, resonant, XActions. 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: