alsorn

v0.2.3 suspicious
5.0
Medium Risk

Official Python SDK for the Alsorn Protocol — Identity, Trust & Transaction Infrastructure for AI Agents

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package appears to have legitimate functionality but raises concerns due to the maintainer's new or inactive account and the missing git repository, which may indicate potential issues with transparency and maintainership.

  • Maintainer has a new or inactive account
  • Git repository not found
Per-check LLM notes
  • Network: The observed network call pattern suggests the package makes HTTP requests to a server, which could be normal if it's designed to fetch data or interact with an API.
  • 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 maintainer has a new or inactive account and the git repository is not found, raising some concerns.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

  • 3 test file(s) detected (e.g. test_agents.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://alsorn.com/docs/sdks/python
  • Detailed PyPI description (815 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

  • 69 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 1.5

Found 1 network call pattern(s)

  • p("/") self._client = httpx.Client( base_url=self._base_url, follow_red
✓ 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: alsorn.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 2.0

1 maintainer concern(s) found

  • Author "Alsorn" 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 alsorn 
Develop a mini-application named 'AI Agent Hub' using the Python package 'alsorn', which is designed to facilitate identity, trust, and transaction infrastructure for AI agents. This application will serve as a platform where users can register and manage their AI agents, ensuring they have unique identities and can engage in secure transactions with other agents.

Step 1: Setup Environment
- Install the 'alsorn' package via pip.
- Set up a virtual environment for your project.

Step 2: User Registration
- Implement user registration functionality allowing users to create accounts for their AI agents.
- Utilize the 'alsorn' package to generate unique identities for each agent.

Step 3: Identity Verification
- Integrate identity verification processes to ensure the authenticity of each AI agent.
- Use 'alsorn' features to verify and authenticate agents based on their unique identifiers.

Step 4: Secure Transactions
- Develop a feature for AI agents to conduct secure transactions with each other.
- Leverage 'alsorn' capabilities to handle the encryption and decryption of transaction data.

Step 5: Trust Scoring System
- Create a system to evaluate the trustworthiness of AI agents based on their interactions.
- Implement algorithms using 'alsorn' tools to assess and update trust scores over time.

Suggested Features:
- Real-time communication between AI agents within the hub.
- A dashboard for users to monitor their agents' activities and transactions.
- An API for third-party developers to integrate their applications with the 'AI Agent Hub'.

The application should demonstrate the use of 'alsorn' in establishing secure, trusted interactions among AI agents, showcasing its potential in building a robust ecosystem for AI collaboration.

💬 Discussion Feed

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