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 uncle11 · Codex Skill · ★ 86
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is xfc-ip-all-png-template safe to install? View the security audit →
IP All PNG Template 一个用于生成中文文章配图提示词的通用 Skill 模板。 它保留固定基础画风：简笔画、白纸手绘、概念草图、文章正文配图。 它扣掉的只有两件事：固定 IP 形象和固定配色。使用者只需要填写自己的 IP 角色公式和品牌配色，就可以把文章、知识点、教程内容转成一套带个人风格的配图 Prompt。 适合做什么 公众号文章正文配图 小红书知识卡片插图 教程文章概念图 视频封面元素草图 个人 IP 风格化 PNG 提示词 批量文章配图 shot list 核心思路 普通配图模板解决的是“这张图好不好看”。 IP 配图模板解决的是“别人能不能记住这是你”。 所以这个 Skill 不会内置某个固定角色，而是要求使用者先填写自己的 IP 形象和配色规则。后续所有图片 Prompt 都会围绕这套规则生成，保证风格稳定。 注意：基础画风不需要用户重新填，也不建议改。这个模板默认就是简笔画白纸手绘概念图。 固定基础画风 也就是说： IP 形象填写公式 使用前先填写下面这组信息： 一句话公式： 配色填写公式 配色也要固定，不要每次生成都换一套风格。角色负责“是谁”，配色负责“像不像你”。 目录结构 文件说明 : Skill 主说明文件，定义使用流程、输出格式和 Prompt 模板。 : 可复用的结构化视觉 JSON 模板。 : Agent 展示名、简介和默认调用提示。
| Stars | 86 |
| Forks | 13 |
| Category | Codex Skill |
| Quality Score | 43.7172384435282/100 |
| Last Updated | 2026-08-03 |
| Created | 2026-07-16 |
| Platforms | codex |
| Est. Tokens | ~15k |
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xfc-ip-all-png-template is A reusable Codex skill template for simple-line article illustrations with user-defined IP characters and color palettes.. It is categorized as a Codex Skill with 86 GitHub stars.
You can find installation instructions and usage details in the xfc-ip-all-png-template GitHub repository at github.com/uncle11/xfc-ip-all-png-template. The project has 86 stars and 13 forks, indicating an active community.
The top alternatives to xfc-ip-all-png-template 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.
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.
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