AI Analysis
The package shows minimal risk indicators with no signs of malicious behavior. The metadata suggests some caution due to low activity, but the lack of other red flags allows us to lean towards a safe classification.
- Low network, shell, obfuscation, and credential risks
- Moderate metadata risk due to low activity
Per-check LLM notes
- Network: Network calls to OSV_API are likely for vulnerability checks or similar legitimate purposes.
- Shell: No shell execution patterns detected, indicating low risk.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The low activity and lack of community engagement suggest potential risk, but there's insufficient evidence to conclusively label it as malicious.
Package Quality Overall: Low (3.2/10)
Partial test coverage signals detected
1 test file(s) detected (e.g. test.py)
Some documentation present
Detailed PyPI description (13348 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Single-author or unverifiable project
1 unique contributor(s) across 6 commits in krishnatadi/auditly-pypiSingle author with few commits — possibly a personal or throwaway project
Heuristic Checks
Found 1 network call pattern(s)
try: resp = requests.post(OSV_API, json=payload, timeout=15, verify=verify) r
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
2 maintainer concern(s) found
Author "Krishna Tadi" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a Python-based project management tool named 'SecureProjectBootstrapper' which leverages the 'auditly' package to streamline the process of setting up new projects with secure dependencies. This tool should automate the following steps: 1. **Project Initialization**: Users can initiate a new project by specifying the project name and desired location. 2. **Dependency Specification**: The user provides a list of required Python packages (either manually or from a pre-existing requirements.txt file). 3. **Dependency Installation**: SecureProjectBootstrapper installs the specified packages using pip. 4. **Vulnerability Scanning**: Using auditly, the tool scans the installed dependencies for known vulnerabilities. 5. **Requirement File Generation**: If no vulnerabilities are found, the tool generates a new requirements.txt file that includes all installed packages along with their exact versions. 6. **Reporting**: Provide a report detailing any vulnerabilities detected during the scanning process, including severity levels and potential mitigation strategies. 7. **Portable Project Setup**: Ensure the generated project directory is ready for deployment by including all necessary files and configurations. **Features**: - User-friendly CLI interface for easy interaction. - Integration with popular version control systems like Git for repository initialization. - Option to specify environment variables for configuring tools like auditly. - Customizable templates for requirements.txt based on project type (e.g., web, data science). - Automated testing of the setup process to ensure compatibility and security. **How 'auditly' is Utilized**: - 'auditly' is called within the vulnerability scanning phase to detect and report on any vulnerable packages. - It ensures that the generated requirements.txt file only includes packages that have passed the security check, thus promoting best practices in dependency management. - Users can configure 'auditly' settings through environment variables or configuration files to tailor the scanning behavior according to specific needs. This project aims to simplify the process of starting new Python projects while ensuring they are built on a foundation of secure and up-to-date dependencies.
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