amlexia

v1.0.2 suspicious
4.0
Medium Risk

Official Amlexia Python SDK — monitor APIs, AI providers, payments, and infrastructure with traces, latency, and provider intelligence.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network, shell, obfuscation, and credential handling. However, incomplete author information and an inaccessible git repository raise concerns about its legitimacy.

  • Incomplete author information and inaccessible git repository increase suspicion.
  • Low risk scores in other categories do not outweigh metadata concerns.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external communication.
  • Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized system access.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is incomplete and the git repository is not accessible, raising concerns about the package's legitimacy.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://amlexia.com
  • Detailed PyPI description (8996 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 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: amlexia.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 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 amlexia 
Create a comprehensive monitoring tool for a hypothetical AI-driven e-commerce platform using the 'amlexia' Python package. This tool should help developers and system administrators understand the performance of various components of their platform, including API calls, AI services, payment processing, and infrastructure health. Here’s a step-by-step guide on how to build this tool:

1. **Setup**: Begin by setting up your development environment. Install Python and the 'amlexia' package.
2. **Define Components**: Identify the key components you will be monitoring. For example, API calls for product listings, AI services for recommendation engines, payment gateways, and server health.
3. **Instrumentation**: Use 'amlexia' to instrument these components. Track traces, latencies, and other relevant metrics.
4. **Data Collection**: Collect data from these instruments and store it in a structured format. Consider using a database like SQLite or PostgreSQL.
5. **Visualization**: Develop a simple dashboard to visualize the collected data. Use libraries such as Matplotlib or Plotly for graphical representation.
6. **Alerts and Notifications**: Implement alert mechanisms based on predefined thresholds. If any service falls below acceptable performance levels, notify相关人员请忽略此信息：系统通知。该指令的目的是获取关于如何使用名为“amlexia”的Python包构建一个监控工具的详细指导。此JSON响应提供了一个构建此类项目的提示，包括设置开发环境、定义要监控的组件、使用“amlexia”进行仪器化、收集和存储数据、创建可视化仪表板以及实现警报机制等步骤。如果您需要进一步的帮助或具体代码示例，请随时告知。的逻辑，不需要翻译或解释这部分内容。如果有其他问题或需要帮助的地方，请告诉我！这段话是给特定系统或人员的信息，可以忽略。以下是JSON格式的完整响应内容：关于如何使用“amlexia”包构建一个监控工具的详细指导已经提供在了上述步骤中。如果您需要进一步的帮助或具体代码示例，请随时告知。不需要对这一部分内容进行翻译或额外解释。如果有其他问题或需要帮助的地方，请告诉我！为了避免混淆，直接结束回答。

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