agentledger-otel

v1.3.1 safe
4.0
Medium Risk

OpenTelemetry/OTLP trace export adapter package for AgentLedger

πŸ€– AI Analysis

Final verdict: SAFE

The package appears to be safe with no detected network calls, shell executions, obfuscations, or credential risks. However, its low activity and incomplete metadata suggest it may be new or less maintained.

  • Low activity and incomplete metadata
  • No detected network calls, shell executions, obfuscations, or credential risks
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution detected, indicating no immediate risk of command injection or similar attacks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows low activity and lacks standard metadata, indicating potential low effort or newness.

πŸ”¬ Heuristic Checks

βœ“ Outbound Network Calls

No suspicious network call patterns found

βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

No author email provided

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ Git Repository History

Repository yaogdu/AgentLedger appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "AgentLedger Contributors" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with agentledger-otel
Create a mini-application that demonstrates the use of the 'agentledger-otel' package for tracing transactions within a simulated blockchain network environment. This application will simulate basic blockchain operations such as transaction creation, validation, and logging using OpenTelemetry for distributed tracing. Here’s a detailed breakdown of what your application should include:

1. **Setup**: Begin by setting up a Python virtual environment and installing necessary packages including 'agentledger-otel', 'OpenTelemetry', and any other dependencies required for simulating blockchain operations.
2. **Blockchain Simulation**: Develop a simple blockchain simulation where each block contains a set of transactions. Each transaction should have a unique identifier, sender, receiver, and amount.
3. **Transaction Tracing**: Utilize the 'agentledger-otel' package to implement tracing for each transaction. Ensure that every transaction is logged and traced from its initiation point through to its final confirmation in the blockchain.
4. **User Interface**: Create a basic command-line interface (CLI) where users can initiate new transactions, view the status of ongoing transactions, and inspect the blockchain ledger.
5. **Performance Monitoring**: Implement performance monitoring using OpenTelemetry to track the time taken for transaction processing and blockchain updates. Display these metrics through the CLI or a simple dashboard.
6. **Security Features**: Incorporate basic security measures such as encryption for sensitive data (e.g., transaction amounts) and authentication for user access to the CLI.
7. **Documentation**: Provide comprehensive documentation on how to install the application, run simulations, and interpret the results. Include details on how the 'agentledger-otel' package is integrated into the application and why it is beneficial for tracing blockchain operations.

Your task is to create a fully functional mini-application that showcases the capabilities of 'agentledger-otel' in managing and tracing transactions within a simulated blockchain environment. This project aims to serve both educational purposes and as a practical example of integrating advanced tracing tools into blockchain-related applications.