atomadic-fuse

v1.2.1 suspicious
5.0
Medium Risk

Atomadic Fuse — Spaghetti to Shippable. Per-repo monadic compiler with the emergent finder and full polyglot emitter set (T0-T5).

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks due to its network and shell command usage, although there are no signs of obfuscation, credential harvesting, or extensive metadata issues.

  • moderate network communication risk
  • high risk associated with executing shell commands
Per-check LLM notes
  • Network: The network call pattern suggests the package may be designed to communicate with an external service, which could be legitimate but should be verified.
  • Shell: Executing shell commands can pose risks if not properly sanitized or intended for unintended actions, increasing suspicion of potential misuse or malicious intent.
  • Obfuscation: No obfuscation patterns detected, suggesting legitimate use.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of secrets.
  • Metadata: The maintainer has only one package and the repository is not popular, which may indicate low activity or newness.

📦 Package Quality Overall: Medium (5.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 2 test file(s) detected (e.g. test_client.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (8696 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 72 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 32 commits in atomadictech/fuse-sdk
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • ndpoint}/{verb}" with httpx.Client(timeout=self.timeout) as c: r = c.post(url, head
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • mport subprocess, sys r = subprocess.run([sys.executable, "-m", "atomadic_fuse.cli", "list"],
✓ 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 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 "Atomadic Tech" 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 atomadic-fuse 
Create a small but versatile code quality checker utility named 'CodeSculptor' using the 'atomadic-fuse' package. This tool will serve as a personal development aid to help developers ensure their code adheres to best practices before committing changes to version control systems like Git. Here's a breakdown of what CodeSculptor should accomplish:

1. **Initialization**: Start by setting up a basic Python project structure, including the necessary virtual environment setup for dependency management.
2. **Project Configuration**: Allow users to configure which programming languages they want to check for quality (e.g., Python, JavaScript, etc.). Utilize 'atomadic-fuse' to handle different language compilations and transformations seamlessly.
3. **Code Analysis**: Implement a feature where the tool scans the specified directories for code files and applies static analysis checks. Use 'atomadic-fuse' to compile and analyze the code in a monadic manner, ensuring that each file is processed individually while maintaining context across the entire project scope.
4. **Quality Metrics**: Define a set of quality metrics such as code complexity, adherence to style guides, and potential bugs. Integrate 'atomadic-fuse' to leverage its full polyglot emitter set (T0-T5) for generating these metrics efficiently and accurately.
5. **Report Generation**: After analyzing the codebase, generate a comprehensive report detailing any issues found during the scan. The report should be human-readable and machine-parsable for easy integration into continuous integration/continuous deployment (CI/CD) pipelines.
6. **User Interface**: Provide a simple command-line interface (CLI) for interacting with CodeSculptor. Users should be able to specify directories, enable/disable specific checks, and choose output formats.
7. **Customization**: Enable users to customize the types of checks performed and the thresholds for warnings/errors through configuration files or command-line arguments.
8. **Integration Testing**: Write tests to verify that CodeSculptor functions correctly under various conditions, including handling different programming languages and edge cases in code structures.

By utilizing 'atomadic-fuse', you'll take advantage of its ability to manage complex, multi-language projects effortlessly, ensuring that your code quality checker is both powerful and flexible.

💬 Discussion Feed

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