ailang-cli

v1.0.3 suspicious
4.0
Medium Risk

AI-Native Programming Language - Write code in natural language

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits some unusual characteristics, such as a rapid commit history and a newly created maintainer account, which raise concerns about its origin and intentions.

  • Rapid commit history
  • New maintainer account
Per-check LLM notes
  • Network: The observed network calls to external APIs suggest the package is likely using third-party services, which is common but should be scrutinized for data handling practices.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The rapid commit history and new maintainer account suggest potential risks, but there's no clear evidence of malicious intent.

📦 Package Quality Overall: Medium (5.4/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

  • Test runner config found: pyproject.toml
  • 1 test file(s) detected (e.g. test_ailang.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/rulhaq/ailang#documentation
  • Detailed PyPI description (10434 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

  • 17 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 16 commits in rulhaq/ailang
  • Single author with few commits — possibly a personal or throwaway project

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

  • ncode("utf-8") req = urllib.request.Request( f"{url}/api/generate", data=data, heade
  • try: with urllib.request.urlopen(req, timeout=120) as response: resul
  • ncode("utf-8") req = urllib.request.Request(url, data=data, headers={"Content-Type": "applicatio
  • ncode("utf-8") req = urllib.request.Request( "https://api.anthropic.com/v1/messages"
✓ 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

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: All 16 commits happened within 24 hours

  • All 16 commits happened within 24 hours
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "AILang Contributors" 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 ailang-cli 
Create a personalized task management app using the 'ailang-cli' package. This app will allow users to manage their daily tasks by speaking or writing in natural language. The goal is to make task management as intuitive and user-friendly as possible, leveraging the power of natural language processing provided by 'ailang-cli'. Here are the key features and steps to develop this app:

1. **Task Creation**: Users should be able to add new tasks by providing a simple command or sentence like 'Add task: Buy groceries'. The app will interpret this input and create a new task entry.
2. **Task Deletion**: Similarly, users can delete tasks by giving commands such as 'Delete task: Buy groceries'. The app should then remove the specified task from the list.
3. **Task Listing**: Implement a feature where users can ask to see all their tasks by saying something like 'Show me my tasks'. The app will respond with a list of all current tasks.
4. **Task Completion**: Allow users to mark tasks as completed with phrases like 'Mark 'Buy groceries' as done'. The app should update the status of the specified task accordingly.
5. **Integration with 'ailang-cli'**: Utilize 'ailang-cli' to handle the natural language inputs. Use its capabilities to parse user commands, understand the intent behind them, and execute the corresponding actions within the app. For example, when a user inputs 'Add task: Buy groceries', 'ailang-cli' will recognize 'Add task' as the command and 'Buy groceries' as the task detail, triggering the creation of a new task entry in the app.
6. **User Interface**: While the core functionality will rely on natural language, consider adding a simple text-based interface for users who prefer typing over speaking. This interface should display options and confirmations in plain text, enhancing usability.
7. **Testing and Validation**: Ensure thorough testing of the app’s ability to accurately interpret and execute natural language commands. Test various phrasings and variations to ensure robustness.
8. **Deployment**: Once developed and tested, deploy the app as a command-line tool or a web application, depending on your preference and target audience.

This project aims to showcase the versatility and ease-of-use of 'ailang-cli' in building applications that interact with users through natural language.

💬 Discussion Feed

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