agentic-beacon

v3.5.1 safe
3.0
Low Risk

Agentic Beacon CLI - Distribute knowledge contexts and skills for AI-assisted development teams

🤖 AI Analysis

Final verdict: SAFE

The package 'agentic-beacon' presents a low risk with no network calls, minimal obfuscation, and no credential risks. While the use of git commands and a single-package maintainer profile slightly increase the risk, there is insufficient evidence to suggest a supply-chain attack.

  • No network calls detected
  • Minimal shell risk due to git commands
  • Maintainer has only one package
Per-check LLM notes
  • Network: No network calls detected.
  • Shell: Git commands indicate possible version control operations but may not be standard for a package named 'agentic-beacon'.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package, which might indicate a new or less active account.

🔬 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)

  • failure. """ result = subprocess.run( ["git", "-C", str(warehouse), "rev-parse", "--abbre
  • anch(warehouse) result = subprocess.run( ["git", "-C", str(warehouse), "push"], capt
  • out, stderr).""" result = subprocess.run( ["git", "-C", str(warehouse)] + args, captu
  • tderr_bytes).""" result = subprocess.run( ["git", "-C", str(warehouse)] + args, captu
  • he warehouse.""" result = subprocess.run( ["git", "-C", str(warehouse_path), "status", "--por
  • """ try: result = subprocess.run( [ "git", "-C",
✓ 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 Shadowsong27/agentic-beacon appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Agentic Beacon 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 agentic-beacon 
Create a mini-application called 'TeamSync' that leverages the 'agentic-beacon' package to streamline knowledge sharing and skill distribution among members of a software development team. The application should facilitate the creation, management, and distribution of context-aware knowledge snippets and skill sets across team members. Here’s a step-by-step guide on what your application should accomplish:

1. **Setup and Initialization**: Begin by setting up a clean virtual environment and installing the necessary dependencies, including the 'agentic-beacon' package.
2. **User Interface Design**: Design a simple yet intuitive command-line interface (CLI) where users can interact with the application. The CLI should allow users to perform various actions such as creating new knowledge snippets, managing existing ones, and distributing them to other team members.
3. **Knowledge Snippet Creation**: Implement functionality that allows users to create new knowledge snippets. Each snippet should contain a title, description, and associated tags. Users should also have the option to attach files or links to the snippets for additional context.
4. **Skill Set Management**: Enable users to define and manage skill sets. A skill set is a collection of related knowledge snippets that collectively describe a specific skill or expertise area. Users should be able to add, remove, and update knowledge snippets within a skill set.
5. **Distribution Mechanism**: Utilize the 'agentic-beacon' package to distribute knowledge snippets and skill sets among team members. This could involve broadcasting snippets to all team members, sending them to specific individuals, or even integrating with external collaboration tools like Slack or Microsoft Teams.
6. **Search and Discovery**: Implement a search feature that allows users to find relevant knowledge snippets based on keywords, tags, or titles. Additionally, provide a discovery mechanism that suggests related snippets and skill sets based on user activity and preferences.
7. **Security and Privacy**: Ensure that the application adheres to security best practices. Users should be able to control who has access to their snippets and skill sets, and sensitive information should be encrypted when stored or transmitted.
8. **Testing and Documentation**: Thoroughly test the application to ensure it works as intended and document its usage through a README file that includes setup instructions, CLI commands, and examples.

By following these steps and utilizing the 'agentic-beacon' package effectively, you will create a powerful tool that enhances collaboration and knowledge sharing within software development teams.