autobot-swarm

v0.1.3 safe
3.0
Low Risk

Hierarchical multi-cluster coding swarm CLI

🤖 AI Analysis

Final verdict: SAFE

The package is generally safe with no direct network calls or obfuscation techniques. While there is a potential risk associated with the use of subprocess.run with shell=True, the observed commands appear benign. The low activity of the maintainer and lack of community engagement slightly increase the metadata risk.

  • No network calls detected
  • Use of subprocess.run with shell=True is potentially risky but observed commands are benign
  • New or inactive maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal and not suspicious.
  • Shell: The use of subprocess.run with shell=True is potentially risky as it can execute arbitrary commands. However, the observed commands seem benign (checking current git branch), but further investigation into the context of their usage is recommended.
  • Obfuscation: No obfuscation patterns detected, suggesting normal code readability.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of secrets.
  • Metadata: The maintainer seems new or inactive, and the repository lacks community engagement.

📦 Package Quality Overall: Medium (5.2/10)

✦ High Test Suite 9.0

Test suite present — 12 test file(s) found

  • 12 test file(s) detected (e.g. test_bootstrap.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (15435 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 228 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 41 commits in DanielDeshmukh/autobots
  • Single author but highly active (41 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • try: result = subprocess.run( command, cwd=str(working_di
  • ne: try: result = subprocess.run( ["git", "branch", "--show-current"],
  • working_dir), shell=True, capture_output=True, text=
✓ 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 2.0

1 maintainer concern(s) found

  • Author "Daniel Deshmukh" 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 autobot-swarm 
Create a command-line interface (CLI) tool named 'SwarmMaster' using the 'autobot-swarm' Python package. This tool will allow users to manage and control multiple coding swarms across different clusters in a hierarchical manner. Each swarm can consist of bots that perform various coding tasks such as code generation, testing, and optimization. Here are the steps and features you should include in your project:

1. **Setup Environment**: Ensure that the environment is set up correctly by installing 'autobot-swarm'. Provide instructions on how to install the package and set up the necessary configurations for connecting to the coding swarms.
2. **Cluster Management**: Implement functionalities to create, delete, and manage clusters. Users should be able to specify cluster details like name, type, and location.
3. **Swarm Operations**: Allow users to create, delete, and manage swarms within each cluster. Each swarm can have its own hierarchy and task assignments.
4. **Bot Control**: Enable users to add, remove, and configure bots within each swarm. Bots should be capable of performing specific coding tasks based on user input or predefined roles.
5. **Task Execution**: Integrate task execution capabilities where users can assign tasks to bots or swarms. Tasks could include generating code snippets, running tests, or optimizing code.
6. **Monitoring & Reporting**: Develop monitoring tools to track the status of tasks and provide reporting features to analyze the performance of swarms and individual bots.
7. **Security Measures**: Incorporate security measures to ensure that only authorized users can manage the swarms and execute tasks. This includes authentication and authorization mechanisms.
8. **User Interface**: Design a clean and intuitive CLI interface that guides users through managing their swarms and executing tasks efficiently.

Your goal is to create a fully functional mini-application that demonstrates the power and flexibility of the 'autobot-swarm' package in managing complex coding tasks across distributed systems. Include detailed documentation on how to use the application and any assumptions made during development.

💬 Discussion Feed

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