askhinton

v0.1.0 suspicious
4.0
Medium Risk

Official Python SDK for the AskHinton CRM API.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to its low activity and poor metadata quality, which raises concerns about its legitimacy and maintenance.

  • Low activity and poor metadata quality
  • Potential unauthorized access due to API interactions
Per-check LLM notes
  • Network: The network call includes an Authorization header which may indicate the package is designed to interact with a protected API, but requires further investigation into the purpose and legitimacy of such interaction.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
  • Metadata: The package shows low activity and poor metadata quality, which could indicate low effort or potential risk.

📦 Package Quality Overall: Low (3.2/10)

○ 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://app.askhinton.com/api/docs
  • Detailed PyPI description (1321 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

  • 21 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)

  • self._http = http or httpx.Client(timeout=timeout, headers={ "Authorization": f"Be
✓ 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

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "AskHinton" 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 askhinton 
Create a customer relationship management (CRM) tool using the Python package 'askhinton', which is an official SDK for the AskHinton CRM API. This tool will help users manage their customer interactions more effectively by providing functionalities such as adding new customers, updating customer information, tracking customer interactions, and generating reports on customer activity.

The application should include the following core features:
1. User Authentication: Implement a login system where users can securely authenticate themselves using their AskHinton credentials.
2. Customer Management: Allow users to add new customers, update existing customer information, and delete customers from the system.
3. Interaction Tracking: Enable users to log interactions with customers, including emails, phone calls, meetings, etc., along with notes and outcomes of these interactions.
4. Reporting: Provide a feature to generate various types of reports, such as interaction history, customer engagement levels, and activity logs.
5. Data Synchronization: Ensure that all data entered into the application is automatically synchronized with the AskHinton CRM system.

To utilize the 'askhinton' package, follow these steps:
1. Install the package using pip: `pip install askhinton`
2. Authenticate users by obtaining an access token from the AskHinton API using the 'askhinton.auth' module.
3. Use the 'askhinton.customer' module to manage customer data, including adding, updating, and deleting customer records.
4. Utilize the 'askhinton.interaction' module to log customer interactions and store them in the CRM system.
5. For reporting purposes, leverage the 'askhinton.report' module to fetch and display relevant data from the CRM.
6. Ensure that all operations performed through the application are reflected in real-time within the AskHinton CRM system.

This project aims to provide a user-friendly interface for managing customer relationships efficiently, making it easier for businesses to maintain strong connections with their clients.

💬 Discussion Feed

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