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 trunghaiy · Claude Skill · ★ 43
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is appshot safe to install? View the security audit →
Generate App Store & Google Play preview videos and screenshots from a simple TypeScript config. Built on Remotion + React + Tailwind. Ships with AI agent skills for Claude Code — scan your app, direct the creative, render to MP4.
| Stars | 43 |
| Forks | 0 |
| Language | TypeScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 62.5473628186626/100 |
| Last Updated | 2026-06-06 |
| Created | 2026-05-19 |
| Platforms | claude-code, node |
| Est. Tokens | ~16k |
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appshot is Generate App Store & Google Play preview videos and screenshots from a simple TypeScript config. Built on Remotion + React + Tailwind. Ships with AI agent skills for Claude Code — scan your app, direc. It is categorized as a Claude Skill with 43 GitHub stars.
appshot is primarily written in TypeScript. It covers topics such as agent-skills, app-marketing, app-store.
You can find installation instructions and usage details in the appshot GitHub repository at github.com/trunghaiy/appshot. The project has 43 stars and 0 forks, indicating an active community.
appshot is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to appshot on Agent Skills Hub include flutter-flame-harness, claude-historian-mcp, google-ai-mode-mcp. 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: