🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low individual risk factors but shows signs of potential unreliability due to limited maintainer activity and package history.

Metadata risk indicates potential unreliability
Low activity in repository and maintainer's package history

Per-check LLM notes

Network: No network calls detected, which is typical and not suspicious unless the package's functionality requires external communications.
Shell: No shell execution patterns detected, indicating the package does not execute system commands, which is normal and secure.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The low number of repository interactions and the maintainer's limited package history suggest potential unreliability, but there are no clear indicators of malicious intent.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: simplelogin.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 "Samuel Eyley" 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 SusMat-SWAXS

Create a mini-application called 'SWAXSUploader' that leverages the SusMat-SWAXS Python package to facilitate the seamless uploading of Small-Wide Angle X-ray Scattering (SWAXS) analytical data into an iRODS data management system. This tool will not only simplify the process for researchers but also ensure data integrity and accessibility.

**Project Requirements:**
1. **Data Input Interface:** Develop a user-friendly interface where users can select SWAXS data files (e.g., .txt, .csv) for upload.
2. **Metadata Entry Form:** Implement a form where users can enter metadata associated with the SWAXS data, such as experiment date, sample ID, researcher name, etc.
3. **Data Validation:** Ensure that the uploaded data passes basic validation checks before proceeding to the upload stage. For instance, check if the file size is within acceptable limits and if the data format is correct.
4. **iRODS Integration:** Utilize the SusMat-SWAXS package to handle the actual upload of data and metadata to the iRODS system. Ensure that the data is stored in a structured directory based on the metadata provided.
5. **Feedback Mechanism:** Provide users with feedback regarding the success or failure of their uploads, including any error messages if applicable.
6. **Security Measures:** Implement basic security measures to protect the data being uploaded, such as encryption during transfer and secure storage in iRODS.

**Features to Consider:**
- Support for multiple file formats commonly used in SWAXS analysis.
- Option for batch uploads to streamline the process for large datasets.
- Ability to track upload progress and manage failed uploads.
- Comprehensive logging of all activities for auditing purposes.
- User authentication to control access to the upload functionality.

**Utilization of SusMat-SWAXS Package:**
- Use SusMat-SWAXS functions to establish a connection to the iRODS server and authenticate the user.
- Employ SusMat-SWAXS utilities to validate the data before upload.
- Leverage SusMat-SWAXS capabilities to structure and store the data and metadata within iRODS according to predefined rules.
- Integrate SusMat-SWAXS functionalities to generate detailed logs of the upload process for future reference.

This mini-application aims to significantly reduce the manual effort required to manage SWAXS data while ensuring that the data is securely and efficiently stored in a centralized repository accessible via iRODS.