approval-utilities

v18.0.5 safe
2.0
Low Risk

Utilities for your production code that work well with approvaltests

🤖 AI Analysis

Final verdict: SAFE

The package approval-utilities v18.0.5 poses minimal risk based on the analysis. It does not engage in network calls and shows no signs of obfuscation or credential harvesting.

  • No network calls
  • No obfuscation or credential harvesting
  • Low shell risk
Per-check LLM notes
  • Network: No network calls detected, which is normal for many utility packages.
  • Shell: Shell execution may be used for scripting purposes but requires caution as it can be a vector for privilege escalation or command injection.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting no risk of secret theft.
  • Metadata: The maintainer has only one package, which might indicate a new or less active account, but no other red flags are present.

📦 Package Quality Overall: Medium (5.4/10)

✦ High Test Suite 9.0

Test suite present — 30 test file(s) found

  • 30 test file(s) detected (e.g. test_ai_fixer_loop.py)
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ 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

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

Active multi-contributor project

  • 4 unique contributor(s) across 100 commits in approvals/ApprovalTests.Python
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • list[str]) -> None: with subprocess.Popen(command_array): pass from abc import abstractmethod
  • {full_script=}") result = subprocess.run( [sys.executable, full_script, directory, log_file],
✓ 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

Repository approvals/ApprovalTests.Python appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "ApprovalTests 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 approval-utilities 
Create a mini-application that allows users to approve or reject test outputs based on their visual inspection. This application will use the 'approval-utilities' package from Python to streamline the process of verifying the correctness of data visualizations or textual outputs.

The application should have the following features:
1. Allow users to input a dataset or a piece of text that needs to be verified.
2. Generate a visualization or formatted output based on the input.
3. Save the generated output to a file.
4. Provide a GUI or console-based interface where users can review the saved output.
5. Enable users to either approve or reject the output based on their inspection.
6. If approved, the output should be stored as a baseline for future comparisons.
7. If rejected, the user should be prompted to modify the input and retry generating the output.
8. Track the history of approvals and rejections for each input.

Utilize the 'approval-utilities' package to handle the comparison between the generated output and the baseline output. When an output is generated, the package should automatically save it to a file and compare it against the existing baseline. If there's no baseline, the package will prompt the user to approve the output before saving it as a new baseline. The application should integrate seamlessly with 'approval-utilities' to ensure that the verification process is both efficient and user-friendly.