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lsi-steam-lesson-generator
Generate AI-integrated lesson plans with AI tool integration for Hong Kong schools. EDB-aligned for HK$500K AI funding grant.
This is a pure documentation-only AI skill with no executable code, scripts, or binary dependencies. It generates lesson plan templates using AI tools and contains no malicious functionality whatsoever.
技能名称lsi-steam-lesson-generator
分析耗时24.8s
引擎pi
可以安装
This skill is safe to use. No action required.
资源类型声明权限推断权限状态证据
文件系统 NONE NONE No file operations found
网络访问 NONE NONE No network requests found
命令执行 NONE NONE No shell execution found
环境变量 NONE NONE No environment access found
技能调用 NONE NONE No skill invocation found
剪贴板 NONE NONE No clipboard access found
浏览器 NONE NONE No browser automation found
数据库 NONE NONE No database access found
7 项发现
🔗
中危 外部 URL 外部 URL
https://www.heygen.com
examples/P4_Science_Plant_Life_Cycle.md:11
🔗
中危 外部 URL 外部 URL
https://www.canva.com
examples/P4_Science_Plant_Life_Cycle.md:20
🔗
中危 外部 URL 外部 URL
https://www.canva.com/designschool/
examples/P4_Science_Plant_Life_Cycle.md:28
🔗
中危 外部 URL 外部 URL
https://www.heygen.com/help
examples/P4_Science_Plant_Life_Cycle.md:29
🔗
中危 外部 URL 外部 URL
https://chat.openapi.com
examples/S2_English_Descriptive_Writing.md:11
🔗
中危 外部 URL 外部 URL
https://chat.openai.com
examples/S2_English_Descriptive_Writing.md:14
📧
提示 邮箱 邮箱地址
[email protected]
README.md:149

目录结构

7 文件 · 51.4 KB · 1558 行
Markdown 6f · 1533L JSON 1f · 25L
├─ 📁 examples
│ ├─ 📝 P4_Science_Plant_Life_Cycle.md Markdown 259L · 9.0 KB
│ ├─ 📝 S2_English_Descriptive_Writing.md Markdown 408L · 14.5 KB
│ └─ 📝 S2_VisualArts_Digital_Portrait.md Markdown 369L · 13.5 KB
├─ 📝 CHANGELOG.md Markdown 31L · 1.1 KB
├─ 📝 README.md Markdown 155L · 4.8 KB
├─ 📋 skill.json JSON 25L · 883 B
└─ 📝 SKILL.md Markdown 311L · 7.7 KB

安全亮点

✓ Zero executable code — skill consists entirely of Markdown documentation and JSON metadata
✓ No shell scripts, Python, Node.js, or any interpreted/compiled code present
✓ No dependencies or package files (requirements.txt, package.json, Cargo.toml) that could introduce supply chain risks
✓ No obfuscated code, base64 payloads, or anti-analysis techniques
✓ No credential harvesting or environment variable access
✓ No network requests or data exfiltration mechanisms
✓ No sensitive file path access (~/.ssh, ~/.aws, .env, etc.)
✓ No persistence mechanisms (cron jobs, startup hooks, backdoors)
✓ No prompt injection vulnerabilities — content is static lesson plan templates
✓ External URLs in examples (canva.com, heygen.com) are legitimate AI tool providers referenced for educational purposes, with no code executing against them