daily-photo-playground — security grade SAFE, quality 41/100

Security audit verdict: SAFE · quality 41/100

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 luji12 · Codex Skill · ★ 81

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is daily-photo-playground safe to install? View the security audit →

About daily-photo-playground

daily-photo-playground 一个将日常摄影照片重构为 3:4 竖版高饱和情绪作品页的 Codex skill。 它强调“暖白外部页面 + 高饱和内部版心”的两级结构,并保留: 放大、切出并海报化的主主体 1 个完整可读的小型原照片窗口 1–3 个来自原图的纯色几何元素 进入中央构图、克制有层级的文字排版 连续留白与点线面关系 文件 :skill 主说明与工作流程 :四层结构、空间比例与质量检查规范 :Codex 显示信息与默认提示词 使用 将此目录作为 skill 使用,并通过 调用。

Quick Facts

Stars81
Forks3
CategoryCodex Skill
Quality Score41.4526986182793/100
Last Updated2026-08-05
Created2026-08-04
Platformscodex
Est. Tokens~2k

daily-photo-playground alternative? Top 1 similar tools

Looking for a daily-photo-playground alternative? If you're comparing daily-photo-playground with other codex skill tools, these 1 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is daily-photo-playground?

daily-photo-playground is Codex skill for reconstructing everyday photos into 3:4 high-saturation emotional editorial posters. It is categorized as a Codex Skill with 81 GitHub stars.

How do I install or use daily-photo-playground?

You can find installation instructions and usage details in the daily-photo-playground GitHub repository at github.com/luji12/daily-photo-playground. The project has 81 stars and 3 forks, indicating an active community.

What are the best alternatives to daily-photo-playground?

The top alternatives to daily-photo-playground on Agent Skills Hub include theorist. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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