alembic-proxy

v1.68.0 suspicious
7.0
High Risk

Distil any webpage into clean Markdown for LLM pipelines — 84–98% token reduction.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risk due to credential and metadata issues, without clear evidence of malicious intent or active obfuscation.

  • High credential risk due to potential unauthorized access
  • Non-secure links and signs of inactivity raise metadata concerns
Per-check LLM notes
  • Obfuscation: No signs of obfuscation patterns detected.
  • Credentials: Detected patterns suggest potential unauthorized access to environment variables and SSRF vulnerability exploitation.
  • Metadata: The package shows signs of potential author inactivity and a non-secure link, raising concerns about its maintenance and security.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 31 test file(s) found

  • Test runner config found: pyproject.toml
  • 31 test file(s) detected (e.g. test_adapters.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (16216 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 190 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

  • fig.proxy_url async with httpx.AsyncClient( timeout=config.request_timeout, follow_redi
  • aders(config) async with httpx.AsyncClient(timeout=LLMS_TXT_TIMEOUT, verify=_ssl_ctx) as client:
  • try: async with httpx.AsyncClient(timeout=config.js_timeout + 5) as client: resp =
  • try: async with httpx.AsyncClient(timeout=config.js_timeout) as client: resp = awa
  • ": key, } async with httpx.AsyncClient(timeout=config.request_timeout) as client: resp = aw
✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 5.0

Found 2 credential access pattern(s)

  • tattr__(self, "github_token", os.getenv("GITHUB_TOKEN")) object.__setattr__(self, "huggingface_token", os
  • request.url = f"{scheme}:///etc/passwd" await _ssrf_interceptor(route, request)
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://your-server:7077/https://example.com
⚠ 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 alembic-proxy 
Create a web-based content distillation tool using the Python package 'alembic-proxy'. This tool will allow users to input a URL of a webpage, and the application will return a clean, concise Markdown representation of the content, significantly reducing the amount of text while retaining key information. The goal is to provide a streamlined version of the webpage's content, ideal for quick reading or as an input for language models.

**Steps to Build the Application:**
1. Set up a basic Flask web application to handle user requests.
2. Integrate the 'alembic-proxy' package to process the content from the provided URL.
3. Implement a form on the front-end where users can enter a URL.
4. Upon submission, the backend should use 'alembic-proxy' to distill the content and return it as Markdown.
5. Display the Markdown output on the same page, formatted nicely for readability.
6. Add error handling to manage cases where the URL is invalid or the page cannot be accessed.
7. Optionally, include a feature to preview the original webpage alongside the distilled Markdown for comparison.

**Suggested Features:**
- User authentication for saving and revisiting distillation results.
- Option to download the distilled Markdown as a file.
- Integration with a text-to-speech API to read out the distilled content.
- A history feature to keep track of previously distilled pages.

The 'alembic-proxy' package plays a crucial role in this project by providing the core functionality of distilling webpages into concise Markdown. It helps in significantly reducing the size of the text data while preserving the essential content, making it perfect for quick reads or as an efficient input format for further processing or analysis.

💬 Discussion Feed

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