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 huangserva · Claude Skill · ★ 1.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skill-prompt-generator safe to install? View the security audit →
Skill Prompt Generator - 基于Skills的智能提示词生成系统 🎉 v2.0 已发布! 新增跨domain查询和设计系统集成。查看升级指南 → 🆕 Codex 适配完成! 支持 OpenAI Codex CLI 使用全部 Skills。查看 Codex 指南 → 一个 Claude Code Skills 项目,通过12个专业领域Skills,基于Universal Elements Library(1246元素)和社区提示词语料库(675条 source prompts)生成高质量AI图像提示词。 同时支持 Claude Code 和 OpenAI Codex CLI 两种 Agent 平台。 🆕 v2.0 新特性 🔄 跨Domain查询 - 数据库利用率从40.3%提升到79.9%,充分利用所有领域元素 🎨 设计系统集成 - 融合prompt-crafter的配色方案,支持20万+组合 📐 三种生成模式 - Portrait(人像)/ Cross-Domain(跨域)/ Design(设计) 🔧 变量采样系统 - 参数化元素,避免重复生成 ✅ 100%向后兼容 - v1.0功能完全保留 快速开始 v2.0 → | 完整升级指南 → 🎯 项目定位 这不是一个普通的Python工具,而是一个完整的Skills系统: 🎨 Skills优先:用户通过调用Skills生成提示词,不直接调用Python 🧠 智能路由:自动识别领域(人像/艺术/设计/产品/视频),调用对应专家 📦 12个专业Skills:每个领域有独立的专家Skill 💾 统一数据源:所有Skills共享Universal Elements Library(1246元素)+ 社区语料库(675条) ✨ 核心特性 🎯 Skills系统(核心) 12个专业领域Skills:intelligent-prompt-generator, art-master, design-master, product-master, video-master, universal-learner, prompt-analyzer, prompt-extractor, prompt-generator, prompt-master, prompt-xray, domain-classifier, prompt-writer 等 智能领域路由:自动识别用户需求,调用对应专家 模块化架构:每个Skill独立工作,协同配合 🆕 Codex 适配:通过 目录同时支持 OpenAI Codex CLI(由 @Felictycf 贡献) 🆕 v2.0 三种生成模式 Portrait(人像) - 纯人像摄影,使用portrait domain(502元素)...
| Stars | 1,487 |
| Forks | 210 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 56.7237041392612/100 |
| Open Issues | 4 |
| Last Updated | 2026-05-10 |
| Created | 2026-01-05 |
| Platforms | claude-code, python |
| Est. Tokens | ~85k |
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skill-prompt-generator is 这是一个基于Claude Skill的**AI人像Prompt生成系统**,能够从特征库中智能组合生成高质量的人像描述Prompt,并具备自动学习和库扩展能力。 核心能力: Prompt生成、特征提取、自动学习、智能审核、版本控制. It is categorized as a Claude Skill with 1.5k GitHub stars.
skill-prompt-generator is primarily written in Python.
You can find installation instructions and usage details in the skill-prompt-generator GitHub repository at github.com/huangserva/skill-prompt-generator. The project has 1.5k stars and 210 forks, indicating an active community.
The top alternatives to skill-prompt-generator on Agent Skills Hub include claude-code-showcase, claude-codex-settings, digital-marketing-pro. 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: