algovoi-substrate

v0.3.1 suspicious
6.0
Medium Risk

AlgoVoi agentic-payments substrate -- JCS canonicalisation, action_ref, composite trust-query, compliance receipts, audit chain

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risk in terms of network usage, shell execution, and obfuscation. However, the incomplete maintainer's information and low repository activity raise concerns about its authenticity and maintenance.

  • Incomplete maintainer information
  • Low repository activity
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external communications.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
  • Metadata: The repository has low activity and the maintainer's information is incomplete, raising suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (6.4/10)

✦ High Test Suite 9.0

Test suite present — 6 test file(s) found

  • 6 test file(s) detected (e.g. test_action_ref.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.algovoi.co.uk/canonicalisation-substrate
  • Detailed PyPI description (7001 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 25 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 23 commits in chopmob-cloud/algovoi-substrate
  • Single author but highly active (23 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ 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 algovoi-substrate 
Develop a Python-based mini-application named 'TrustChainQuery' that leverages the 'algovoi-substrate' package to facilitate secure and compliant data querying within a decentralized network environment. This application will serve as a bridge between users and the underlying blockchain infrastructure, enabling them to perform complex queries while ensuring data integrity and privacy through advanced cryptographic techniques provided by 'algovoi-substrate'.

The application should include the following core functionalities:
1. **User Authentication**: Implement a simple user authentication mechanism using JCS canonicalization from 'algovoi-substrate' to ensure that only authorized users can access the query functionality.
2. **Query Submission**: Allow users to submit complex queries that can traverse multiple layers of data, leveraging the composite trust-query feature of 'algovoi-substrate'. Queries should be designed to retrieve information about transactions, user activities, and other relevant data points within the network.
3. **Compliance Verification**: Utilize the compliance receipt generation capability of 'algovoi-substrate' to automatically generate proof of compliance for each query submitted. These receipts will serve as evidence that the query adhered to all necessary regulatory standards.
4. **Audit Trail Generation**: Integrate the audit chain feature from 'algovoi-substrate' to maintain an immutable record of all queries performed through the application. This audit trail will help in tracking the history of queries and ensuring accountability.
5. **Trust Assessment**: Provide users with a mechanism to assess the trustworthiness of the data retrieved through queries. This can be achieved by utilizing the composite trust-query feature of 'algovoi-substrate', which allows for evaluating the reliability of data sources based on predefined criteria.

To utilize the 'algovoi-substrate' package effectively, you will need to familiarize yourself with its key components such as JCS canonicalization, action_ref, and composite trust-query. Each of these features plays a crucial role in ensuring the security, integrity, and compliance of data queries processed by your application. Additionally, explore how the package supports the generation of compliance receipts and the maintenance of an audit chain to enhance transparency and accountability in your application.

💬 Discussion Feed

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