🤖 AI Analysis

Final verdict: SAFE

The package is assessed as safe given its primary function as an asyncio BitTorrent client library with minimal risk indicators and no suspicious activities detected.

The package has a low network risk score due to legitimate network interactions expected for a BitTorrent client.
No shell execution or other malicious behaviors were identified.

Per-check LLM notes

Network: The use of urllib.request indicates network activity which could be legitimate if the package is designed to interact with external services.
Shell: No shell execution patterns were detected.

📦 Package Quality Overall: Medium (5.6/10)

✦ High Test Suite 9.0

Test suite present — 15 test file(s) found

15 test file(s) detected (e.g. test_bencode.py)

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (9801 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 7.0

Partial type annotation coverage

Classifier: Typing :: Typed
212 type-annotated function signatures detected in source

◈ Medium Multiple Contributors 5.0

Limited contributor diversity

1 unique contributor(s) across 56 commits in fried/aiobt
Single author but highly active (56 commits)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

ort urllib.request req = urllib.request.Request(url) req.add_header("User-Agent", "aiobt/26.6.0"
nt", "aiobt/26.6.0") with urllib.request.urlopen(req, timeout=30) as resp: return resp.read()

✓ 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: jasonfried.info>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

Non-HTTPS external link: http://tracker.example.com/announce

⚠ Git Repository History score 2.5

Git history flags: Repository created very recently: 6 day(s) ago (2026-05-31T15:25:50Z)

Repository created very recently: 6 day(s) ago (2026-05-31T15:25:50Z)

⚠ 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 aiobt

Your task is to develop a simple yet functional BitTorrent client application using the 'aiobt' Python package. This application will allow users to download files from BitTorrent networks efficiently and manage their downloads through a user-friendly interface. Here’s a step-by-step guide on how to proceed:

1. **Setup**: Begin by installing the necessary packages including 'aiobt'. Make sure your development environment supports Python 3.7+ as 'aiobt' requires it.
2. **Core Functionality**: Implement the ability to search for torrents based on keywords or magnet links. Users should be able to enter a search query or a magnet link directly into the application.
3. **Download Management**: Once a torrent is selected, initiate the download process. Use 'aiobt' to handle the downloading of pieces from peers, managing the torrent's state (seeding, downloading, etc.), and handling errors gracefully.
4. **User Interface**: Design a basic command-line interface (CLI) for users to interact with. It should display the status of ongoing downloads, completed downloads, and allow for pausing/resuming downloads.
5. **Advanced Features**: Consider adding advanced features such as setting upload/download speed limits, prioritizing certain files within a torrent, and showing statistics like completion percentage and estimated time remaining.
6. **Testing**: Ensure thorough testing of all functionalities, paying special attention to edge cases like network interruptions and large file downloads.
7. **Documentation**: Provide clear documentation on how to use the application, including setup instructions and examples of commands.

In your implementation, focus on leveraging 'aiobt' to handle the low-level details of the BitTorrent protocol, allowing you to concentrate on building a robust and user-friendly interface.