AI Analysis
Final verdict: SUSPICIOUS
The package shows moderate risk due to potential insecure links and lack of a GitHub repository, raising concerns about its legitimacy and maintenance.
- Non-secure links in metadata
- Lack of GitHub repository
Per-check LLM notes
- Network: The detection of network calls is common for SDKs that interact with APIs, but further investigation is needed to ensure the destination is legitimate and secure.
- Shell: No shell execution patterns were detected, which is expected and indicates no immediate risk from this aspect.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
- Metadata: The package shows some red flags, including non-secure links and lack of a GitHub repository, but there's no strong evidence of typosquatting or malicious intent.
Package Quality Overall: Low (4.4/10)
✦ High
Test Suite
9.0
Test suite present — 3 test file(s) found
3 test file(s) detected (e.g. test_agent_run_one.py)
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (25591 chars)
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
44 type-annotated function signatures detected in source
○ Low
Multiple Contributors
1.0
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
p("/") self._client = httpx.AsyncClient(base_url=self._base, timeout=timeout) async def registe
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
No author email provided
Suspicious Page Links
score 6.0
Found 3 suspicious link(s) on the package page
Non-HTTPS external link: http://127.0.0.1:8000Non-HTTPS external link: http://aijuicer:8000Non-HTTPS external link: http://127.0.0.1:3000
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 4.0
2 maintainer concern(s) found
Author "AIJuicer" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with aijuicer-sdk
构建一个名为 'AI助手' 的小型应用程序，该应用利用了 'aijuicer-sdk' 包来简化用户的日常任务。这个应用程序将允许用户上传文本文件，并通过AIJuicer的服务进行处理，以提取关键信息、情感分析以及生成摘要等。以下是构建此应用程序的详细步骤和功能要求： 1. **项目概述**：创建一个Python Flask Web应用，集成AIJuicer SDK，提供文件上传、文本处理和结果展示的功能。 2. **技术栈**：使用Python作为主要开发语言，Flask框架用于后端开发，HTML/CSS/JavaScript用于前端界面设计。 3. **核心功能**： - 用户可以通过简单的网页界面上传文本文件（支持TXT格式）。 - 上传后，应用程序将调用AIJuicer SDK中的API来处理文本，包括但不限于关键词提取、情感分析和摘要生成。 - 处理完成后，应用程序应能够显示处理结果，如关键词列表、情感倾向（正面、负面或中性）、以及一段简短的摘要。 4. **具体实现步骤**： - 初始化Flask应用并设置路由，确保能够接收文件上传请求。 - 集成AIJuicer SDK，根据官方文档配置好API密钥。 - 编写后端逻辑，将上传的文本文件传递给AIJuicer服务，并解析返回的数据。 - 开发前端页面，使用户能够直观地看到处理进度和最终结果。 5. **额外建议功能**： - 实现用户登录系统，以便跟踪个人的历史记录。 - 添加多语言支持，使得全球用户都能方便使用。 6. **部署指南**：考虑将应用程序部署到Heroku或AWS等云服务平台上，确保应用可以稳定运行且易于访问。 7. **注意事项**：在使用AIJuicer SDK时，请注意遵守相关服务条款，特别是关于数据隐私和安全的规定。 通过遵循以上指导，你将能够构建出一个强大而实用的小型应用，它不仅能帮助用户更好地理解和管理他们的文本数据，还能作为一个优秀的示例，展示如何有效利用AIJuicer SDK来增强应用程序的功能。