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 HaichaoLihc · Codex Skill · ★ 427
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is create-photo-flipbook-ui safe to install? View the security audit →
Create Photo Flipbook UI A Codex skill for turning photographs into expressive photobooks using the bundled 2D Book runtime (formerly v1) in . 3D Book 2 demo Templates These templates live in , outside the skill folder, and are optional resources for people to copy and customize. They are not installed with the skill. The skill uses its own bundled 2D runtime; Library and the 3D templates are separate alternatives. Install Use text Use $create-photo-flipbo
| Stars | 427 |
| Forks | 40 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63.2531960966368/100 |
| Last Updated | 2026-09-30 |
| Created | 2026-08-24 |
| Platforms | browser, codex, node |
| Est. Tokens | ~13k |
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开源了Codex Skills等集合，大部分是自己实际需要搞得，需要的自取。欢迎star
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create-photo-flipbook-ui is Codex skill for building responsive 3D photo flipbook websites from user-supplied images. It is categorized as a Codex Skill with 427 GitHub stars.
create-photo-flipbook-ui is primarily written in JavaScript.
You can find installation instructions and usage details in the create-photo-flipbook-ui GitHub repository at github.com/HaichaoLihc/create-photo-flipbook-ui. The project has 427 stars and 40 forks, indicating an active community.
create-photo-flipbook-ui is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to create-photo-flipbook-ui on Agent Skills Hub include nano-banana-pro-prompts-recommend-skill, skillkit, Skills-Manager. 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: