AI Analysis
The package ansemo v0.1.0 has been analyzed with no indications of network risks, shell risks, obfuscation risks, or credential risks. It appears to be a straightforward tool for detecting and anonymizing PII in Romanian and Moldovan text.
- No network calls detected
- No shell execution patterns found
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external communication.
- Shell: No shell execution patterns detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
Package Quality Overall: Low (2.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (19279 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
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
Found 2 suspicious link(s) on the package page
Non-HTTPS external link: http://127.0.0.1:11434/v1`Non-HTTPS external link: http://custom-host:8080/v1
No GitHub repository linked
No GitHub repository link found
4 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" 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 privacy-focused mini-application called 'AnonymizeMe' using Python that leverages the 'ansemo' package to detect and anonymize Personally Identifiable Information (PII) in Romanian texts. Your application should accept user input as either plain text or a file path to a text file, then process it to identify and replace PII data such as names, addresses, phone numbers, emails, etc., with generic placeholders. After processing, the application should output the anonymized text either to the console or save it to a new file. Key Features: - User-friendly interface for both command-line and GUI interactions. - Support for multiple input/output formats including plain text and .txt files. - Detailed logging of anonymization actions for audit purposes. - Option to customize placeholder patterns for different types of PII data. - Error handling for non-text inputs and file I/O operations. How 'ansemo' is utilized: - Import 'ansemo' to perform the initial detection of PII in the provided text. - Use 'ansemo' functions to replace detected PII with generic placeholders. - Integrate 'ansemo' into the workflow for ensuring comprehensive coverage of all Romanian PII types. Your task is to design and implement this application from scratch, ensuring that it is modular, well-documented, and easy to extend with additional features or languages in the future.
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