AI Analysis
Final verdict: SUSPICIOUS
The package shows low risks for common malicious activities such as network calls or shell executions, but its metadata suggests it might be newly created without a clear maintenance history, raising suspicion about its legitimacy.
- Metadata risk due to lack of maintainer history
- Newly created package with unknown origins
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communication.
- Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of being newly created and lacks maintainer history, raising suspicion.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: example.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 3.0
Repository not found (deleted or private)
Repository not found (deleted or private)
Maintainer History
score 6.0
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with XINGZIER
构建一个名为“CircuitCraft”的小型应用程序，该应用利用Python包“XINGZIER”来实现AI驱动的电子设计自动化。此应用旨在简化电路设计流程，使工程师和学生能够更高效地进行电路仿真和优化。 **项目概述**： - **目标用户**：电子工程师、电路设计师、教育工作者和学生。 - **核心功能**： - **电路仿真**：使用XINGZIER包提供的AI算法，自动分析并仿真给定的电路图。 - **参数优化**：基于输入的性能指标（如功率效率、响应时间等），自动调整电路中的组件参数以达到最佳性能。 - **报告生成**：自动生成包含关键性能指标、图表和建议的详细仿真报告。 - **交互式界面**：提供图形化的用户界面，便于用户输入电路图、选择仿真参数以及查看仿真结果。 **开发步骤**： 1. **环境搭建**：安装必要的Python库，包括XINGZIER。 2. **UI设计**：使用Tkinter或PyQt5创建一个直观易用的图形界面，支持电路图的绘制和编辑。 3. **数据处理与转换**：编写代码将用户绘制的电路图转化为XINGZIER可读的格式，并传递给AI引擎进行仿真。 4. **仿真执行**：调用XINGZIER的API执行电路仿真，获取仿真结果。 5. **结果解析与展示**：从XINGZIER返回的数据中提取关键信息，并通过图表和文字形式在UI上展示。 6. **报告生成**：根据用户的设置和仿真结果，自动生成包含详细信息的报告。 7. **测试与优化**：对应用进行全面测试，确保其稳定性和准确性；收集反馈，不断优化用户体验。 **如何使用XINGZIER**：在整个开发过程中，XINGZIER将作为核心工具被用来执行复杂的电路仿真任务。开发者需要熟悉XINGZIER的API文档，了解如何正确配置和调用其功能来满足项目需求。 通过这个项目的实施，你将不仅学习到如何使用XINGZIER这样的高级EDA工具，还能深入了解AI技术在电子设计领域的实际应用价值。