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 dacnay816y62-hub · Codex Skill · ★ 548
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is photo-revival safe to install? View the security audit →
废片焕新 · Photo Revival FANTASY / 梵想美学 · 摄影与照片转译 把生活照片转译成白纸上的小幅手绘，保留记忆点，以大量留白与少量诗性文字重新组织画面。 快速开始 · 下载与安装 · 完整规则 · 全部视觉 Skills 一分钟开始 生成说明： Skill 组织设计判断、提示词与执行流程；图片由当前环境中可用的图像工具生成或编辑。示例用于理解视觉方向，具体来源以本仓库记录为准，不能据此保证每次得到相同效果。 下载与安装 下载当前分支 ZIP · 阅读 Skill 规则 下载并解压仓库。 将仓库根目录（包含 ）放入当前助手支持的技能目录。 安装文件夹命名为 ，确保入口是 。 在支持技能调用的会话中使用 。如果列表未刷新，新开一个任务。 Codex CLI / IDE 的用户级目录是 ，项目级目录是 ；Windows 用户目录可写为 。以 OpenAI 官方安装说明 为准。ChatGPT 与其他宿主请按各自的技能加载方式使用。 仓库名与调用名可能不同，以上以 中的名称为准。安装不包含图像服务、账户或生成额度；实际出图取决于你使用的环境。 核心效果 3:4 竖构图 白色或近白纸张底图 80-88% 大面积留白 主体插画只占画面 10-16% 主体最大不超过整页 18% 色彩只集中在这一小块插画区域 手绘笔触：铅笔、水彩、干刷、蜡笔、轻微 risograph 颗粒 少量中英文手写小字、日期、field n
| Stars | 548 |
| Forks | 55 |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 54.1336412956151/100 |
| Last Updated | 2026-09-05 |
| Created | 2026-08-01 |
| Platforms | codex |
| Est. Tokens | ~15k |
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Looking for a photo-revival alternative? If you're comparing photo-revival with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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photo-revival is Codex skill for turning everyday photos into poetic white-paper hand-drawn illustrations.. It is categorized as a Codex Skill with 548 GitHub stars.
You can find installation instructions and usage details in the photo-revival GitHub repository at github.com/dacnay816y62-hub/photo-revival. The project has 548 stars and 55 forks, indicating an active community.
photo-revival is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to photo-revival on Agent Skills Hub include ian-xiaohei-scenes, nano-banana-pro-prompts-recommend-skill, guizang-material-illustration. 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: