agent-relay-tool

v0.7.0 safe
4.0
Medium Risk

Local-first CLI for handing coding sessions between agents without losing context

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls or obfuscation, and no signs of credential harvesting. However, the presence of an insecure HTTP link and the author having only one published package warrant some caution.

  • Insecure HTTP link present
  • Author has only one published package
Per-check LLM notes
  • Network: No network calls detected, which is normal and expected.
  • Shell: Shell execution appears to be used for Git operations and CLI version checks, which seems reasonable for a tool named 'agent-relay-tool', but further investigation into the context of use may be warranted.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author has only one package, and there's an insecure HTTP link, which raises some concerns but not enough to conclusively label it as malicious.

🔬 Heuristic Checks

Outbound Network Calls

No suspicious network call patterns found

Code Obfuscation

No obfuscation patterns detected

Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • ) try: result = subprocess.run( ["osascript", "-e", script], captur
  • ss try: result = subprocess.run( [cli_command, "--version"], capture
  • return [] completed = subprocess.run( ["git", "-C", str(repo_root), "status", "--short",
  • Process[str]: completed = subprocess.run( ["git", "-C", str(repo_root), *args], captu
  • lt(exit_code=1) result = subprocess.run( [binary, "detach-client"], capture_output=T
  • agent_cli, ] result = subprocess.run(argv, capture_output=True, text=True, check=False) if re
Credential Harvesting

No credential harvesting patterns detected

Typosquatting

No typosquatting candidates detected

Registered Email Domain

No author email provided

Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://collector:4318/v1/metrics`
Git Repository History

Repository bethvourc/agent--relay appears legitimate

Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Bethvour" 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 agent-relay-tool
Create a collaborative coding session manager named 'CodeSync' using the Python package 'agent-relay-tool'. This tool will enable developers to seamlessly hand over coding tasks between different team members while maintaining continuity of context and code state.

Steps:
1. Initialize the project setup, including installing 'agent-relay-tool' and setting up necessary dependencies.
2. Design the user interface to allow users to start a new coding session, join an existing session, and switch between different sessions.
3. Implement functionality to save the current state of the coding session (including code, comments, and any other relevant context) locally and share it with other team members.
4. Develop a feature to automatically sync changes made by one developer to the shared session in real-time.
5. Integrate error handling to ensure smooth operation even when network conditions are poor or intermittent.
6. Add support for multiple programming languages and environments.

Suggested Features:
- Real-time collaboration across multiple devices and platforms.
- Context-aware notifications for new updates or changes in the shared session.
- Ability to review past versions of the code and revert to previous states if needed.
- Support for attaching external resources like documentation links or reference materials within the session.
- Integration with popular version control systems for easy branching and merging.

How 'agent-relay-tool' is Utilized:
- Use 'agent-relay-tool' to handle the relay of coding sessions between agents (developers) ensuring that no context is lost during transitions.
- Leverage its local-first approach to store session data locally before syncing it with remote servers, thereby improving reliability and performance.
- Employ its capabilities to manage complex interactions between multiple coding sessions, allowing for dynamic reassignment of tasks based on team availability.