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human-traits-learning
Enables AI Agents to learn human traits through structured corporate-style training and mentorship
This is a legitimate Human Traits Learning skill that provides corporate training-style frameworks for AI agent development. No malicious behavior, credential harvesting, obfuscation, or undeclared sensitive operations were identified.
技能名称human-traits-learning
分析耗时60.8s
引擎pi
✓
可以安装
This skill is safe to use. It implements a productivity/learning framework with user preference analysis and constructive feedback mechanisms.
资源类型声明权限推断权限状态证据
文件系统 NONE NONE — Uses fs module only for local skill data files, no sensitive path access
网络访问 NONE NONE — No HTTP client, fetch, or network request code found
命令执行 NONE NONE — No subprocess, exec, or shell command execution
环境变量 NONE NONE — No environment variable iteration for sensitive keys
技能调用 READ READ ✓ 一致 SKILL.md declares API functions, all implemented in scripts
剪贴板 NONE NONE — No clipboard access
浏览器 NONE NONE — No browser automation
数据库 NONE NONE — No database operations
8 项发现
🔗
中危 外部 URL 外部 URL
https://gitee.com/your-username/human-traits-learning
CONTRIBUTING.md:7
🔗
中危 外部 URL 外部 URL
https://gitee.com/your-username/human-traits-learning/issues
CONTRIBUTING.md:98
🔗
中危 外部 URL 外部 URL
https://img.shields.io/badge/license-MIT-blue.svg
README.md:3
🔗
中危 外部 URL 外部 URL
https://img.shields.io/badge/clawhub-available-brightgreen.svg
README.md:4
🔗
中危 外部 URL 外部 URL
https://clawhub.ai
README.md:4
🔗
中危 外部 URL 外部 URL
https://gitee.com/your-username/human-traits-learning.git
README.md:100
🔗
中危 外部 URL 外部 URL
http://api/test
data/human_behavior_patterns.json:11
🔗
中危 外部 URL 外部 URL
http://api/endpoint
examples/usage_examples.md:27

目录结构

44 文件 · 302.5 KB · 8026 行
JavaScript 13f · 4249L Markdown 25f · 3450L JSON 6f · 327L
├─ ▾ 📁 data
│ └─ 📋 human_behavior_patterns.json JSON 191L · 7.5 KB
├─ ▾ 📁 examples
│ └─ 📝 usage_examples.md Markdown 259L · 7.9 KB
├─ ▾ 📁 i18n
│ ├─ ▾ 📁 ar
│ │ ├─ 📋 messages.json JSON 29L · 2.4 KB
│ │ ├─ 📝 QUICK_START.md Markdown 107L · 4.6 KB
│ │ ├─ 📝 SKILL.md Markdown 86L · 6.3 KB
│ │ └─ 📝 USER_GUIDE.md Markdown 220L · 11.2 KB
│ ├─ ▾ 📁 de
│ │ └─ 📝 SKILL.md Markdown 86L · 4.8 KB
│ ├─ ▾ 📁 en
│ │ ├─ 📋 messages.json JSON 29L · 1.9 KB
│ │ ├─ 📝 QUICK_START.md Markdown 107L · 3.0 KB
│ │ ├─ 📝 SKILL.md Markdown 86L · 4.3 KB
│ │ └─ 📝 USER_GUIDE.md Markdown 220L · 6.8 KB
│ ├─ ▾ 📁 es
│ │ ├─ 📋 messages.json JSON 29L · 2.0 KB
│ │ ├─ 📝 QUICK_START.md Markdown 107L · 3.9 KB
│ │ ├─ 📝 SKILL.md Markdown 86L · 5.1 KB
│ │ └─ 📝 USER_GUIDE.md Markdown 220L · 9.2 KB
│ ├─ ▾ 📁 fr
│ │ └─ 📝 SKILL.md Markdown 86L · 5.4 KB
│ ├─ ▾ 📁 ja
│ │ └─ 📝 SKILL.md Markdown 86L · 5.2 KB
│ ├─ ▾ 📁 ko
│ │ └─ 📝 SKILL.md Markdown 86L · 4.4 KB
│ ├─ ▾ 📁 zh
│ │ ├─ 📋 messages.json JSON 29L · 1.7 KB
│ │ ├─ 📝 QUICK_START.md Markdown 107L · 3.0 KB
│ │ ├─ 📝 SKILL.md Markdown 86L · 3.6 KB
│ │ └─ 📝 USER_GUIDE.md Markdown 220L · 6.8 KB
│ └─ 📝 README.md Markdown 31L · 1.1 KB
├─ ▾ 📁 scripts
│ ├─ 📜 apply-historical-lessons.js JavaScript 233L · 7.9 KB
│ ├─ 📜 corporate-training.js JavaScript 259L · 9.4 KB
│ ├─ 📜 enhanced-historical-lessons.js JavaScript 638L · 22.1 KB
│ ├─ 📜 enhanced-user-ai-mutual-growth.js JavaScript 941L · 34.1 KB
│ ├─ 📜 i18n-manager.js JavaScript 247L · 7.7 KB
│ ├─ 📜 integrated-mutual-growth.js JavaScript 165L · 5.9 KB
│ ├─ 📜 leadership-assessment.js JavaScript 430L · 14.6 KB
│ ├─ 📜 red-lines-compliance-engine.js JavaScript 344L · 10.8 KB
│ ├─ 📜 simulated-history-generator.js JavaScript 353L · 13.1 KB
│ ├─ 📜 test-enhanced-mutual-growth.js JavaScript 115L · 5.6 KB
│ └─ 📜 user-ai-mutual-growth.js JavaScript 415L · 13.5 KB
├─ 📝 CONTRIBUTING.md Markdown 101L · 4.3 KB
├─ 📝 DEVELOPER_GUIDE.md Markdown 321L · 8.4 KB
├─ 📋 package.json JSON 20L · 679 B
├─ 📝 QUICK_START.md Markdown 107L · 3.0 KB
├─ 📝 README.md Markdown 206L · 8.8 KB
├─ 📝 RELEASE_NOTES.md Markdown 118L · 4.1 KB
├─ 📝 SKILL.md Markdown 91L · 5.4 KB
├─ 📜 test-enhanced-historical-lessons.js JavaScript 55L · 2.2 KB
├─ 📜 test-simulated-assessment.js JavaScript 54L · 2.1 KB
└─ 📝 USER_GUIDE.md Markdown 220L · 6.8 KB

安全亮点

✓ No network requests or external communications
✓ No shell command execution or subprocess usage
✓ No credential harvesting or sensitive environment variable access
✓ No code obfuscation (base64, eval, atob)
✓ No remote script execution (curl|bash, wget|sh)
✓ No sensitive file path access (~/.ssh, ~/.aws, .env)
✓ No prompt injection or hidden instructions
✓ No persistence mechanisms or backdoors
✓ Documentation accurately describes all functionality
✓ Uses only Node.js built-in modules (fs, path, crypto)
✓ Pure algorithmic implementation for learning/growth frameworks