agentledger-runtime

v1.3.3 suspicious
4.0
Medium Risk

Runtime reliability layer for Agent Harness stacks

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate suspicion due to its use of obfuscation techniques and the fact that the author has only one published package.

  • Obfuscation risk score of 6 out of 10
  • Single package from the author
Per-check LLM notes
  • Network: No network calls detected, which is normal and expected.
  • Shell: Shell execution patterns may be legitimate if the package involves building native code or running external commands. Further investigation into the package's intended functionality is recommended.
  • Obfuscation: The code appears to use obfuscation techniques which could be used to hide malicious activities, but without more context, it's uncertain if this is intended for malicious purposes.
  • Credentials: No obvious patterns indicative of credential harvesting were found in the provided snippet.
  • Metadata: The author has only one package, suggesting a new or less active account which could be suspicious but not conclusive evidence of malice.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • tabase state.""" now_ts = __import__('time').time # Runs runs = [] for r in store.conn.exec
⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • ger-cargo-target") proc = subprocess.run(cmd, cwd=cwd, text=True, stdout=subprocess.PIPE, stderr=subp
  • .monotonic() try: subprocess.run(cmd, cwd=cwd, env=env, stdout=stdout, check=True) except
  • try: completed = subprocess.run(cmd, cwd=cwd, env=env, check=True, text=True, capture_output
✓ 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

Repository yaogdu/AgentLedger appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "AgentLedger 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 agentledger-runtime 
Create a fully-functional mini-application named 'ReliabilityChecker' using the Python package 'agentledger-runtime'. This application will serve as a tool to monitor and ensure the reliability of a set of predefined tasks or services within an Agent Harness stack environment. Here are the steps and features to implement:

1. **Setup Environment**: Start by installing 'agentledger-runtime' and any other necessary dependencies. Ensure your development environment is properly configured.
2. **Task Definition**: Define a list of tasks or services that need to be monitored for reliability. Each task should have a unique identifier, a description, and a health check function that returns True if the task is healthy and False otherwise.
3. **Health Check Mechanism**: Implement a mechanism using 'agentledger-runtime' to periodically run health checks on each defined task. The health checks should be scheduled at regular intervals (e.g., every 5 minutes).
4. **Alert System**: If a task fails its health check, the application should send an alert. Alerts can be simple print statements or more advanced notifications like emails or SMS messages, depending on the complexity you wish to add.
5. **Reporting**: After each round of health checks, generate a report summarizing the status of all tasks. The report should include which tasks passed their checks and which did not.
6. **User Interface (Optional)**: For added functionality, develop a basic command-line interface (CLI) where users can view the current status of tasks, manually trigger a health check, and configure alert preferences.
7. **Testing and Documentation**: Thoroughly test your application to ensure it works as expected. Document the setup process, usage instructions, and any limitations or considerations.

By following these steps and implementing these features, your 'ReliabilityChecker' application will effectively utilize 'agentledger-runtime' to enhance the reliability and maintainability of services within an Agent Harness stack.