skill-prompt-generator — security grade SAFE, quality 57/100

Security audit verdict: SAFE · quality 57/100

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 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 →

About skill-prompt-generator

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)...

Quick Facts

Stars1,487
Forks210
LanguagePython
CategoryClaude Skill
Quality Score56.7237041392612/100
Open Issues4
Last Updated2026-05-10
Created2026-01-05
Platformsclaude-code, python
Est. Tokens~85k

skill-prompt-generator alternative? Top 5 similar tools

Looking for a skill-prompt-generator alternative? If you're comparing skill-prompt-generator with other claude skill tools, these 5 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • claude-code-showcase by ChrisWiles · ⭐ 6.0k

    Comprehensive Claude Code project configuration example with hooks, skills, agents, commands, and GitHub Actio

  • claude-codex-settings by fcakyon · ⭐ 1.2k

    Battle-tested Claude Code, OpenAI Codex, Cursor configs, plugins, hooks and agents with Kimi, MiniMax and GLM

  • digital-marketing-pro by indranilbanerjee · ⭐ 795

    An open-source AI marketing operating system for strategy, SEO, AEO/GEO, paid media, content, CRM, and analyti

  • life-sciences by anthropics · ⭐ 608

    Repo for the Claude Code Marketplace to use with the Claude for Life Sciences Launch. This will continue to ho

  • claude-ai-mcp by anthropics · ⭐ 484

    Report issues related to MCP integration with Claude here.

More Claude Skill Tools

Explore other popular claude skill tools:

View all Claude Skill tools →

Popular Python Agent Tools

Frequently Asked Questions

What is skill-prompt-generator?

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.

What programming language is skill-prompt-generator written in?

skill-prompt-generator is primarily written in Python.

How do I install or use skill-prompt-generator?

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.

What are the best alternatives to skill-prompt-generator?

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.

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:

View on GitHub → Browse Claude Skill tools