AI Analysis
The package has low immediate operational risks, but concerns over metadata and repository activity level warrant further scrutiny.
- Low repository activity
- Incomplete author information
Per-check LLM notes
- Network: No network calls detected, which is normal for a package focused on local computational tasks like sgRNA design.
- Shell: No shell execution patterns detected, consistent with an application that does not require system-level operations.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The repository's low activity and incomplete author information suggest potential risks, but no clear indicators of malicious intent.
Package Quality Overall: Low (4.6/10)
Test suite present — 1 test file(s) found
Test runner config found: pyproject.toml1 test file(s) detected (e.g. test_designer.py)
Some documentation present
Detailed PyPI description (7260 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
13 type-annotated function signatures detected in source
Single-author or unverifiable project
1 unique contributor(s) across 14 commits in CameronCat/archaeal-sgrna-designerSingle author with few commits — possibly a personal or throwaway project
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
Email domain looks legitimate: yahoo.com>
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 name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a web-based application called 'ArchaealCas9Designer' that leverages the Python package 'archaeal-sgrna-designer' to assist researchers in designing single guide RNAs (sgRNAs) for CRISPR-Cas9 gene editing in archaea such as Methanosarcina and its relatives. This application should allow users to input their target DNA sequences and receive optimized sgRNA designs tailored for these specific organisms. Here are the key steps and features your app should include: 1. **User Interface**: Design a simple yet intuitive user interface where researchers can upload their DNA sequence files or directly paste the sequences into a text box. 2. **Sequence Validation**: Implement a feature that validates the uploaded sequences to ensure they meet the necessary criteria for sgRNA design (e.g., length, GC content). 3. **Design Optimization**: Utilize the 'archaeal-sgrna-designer' package to process the validated sequences and generate sgRNA designs optimized for the target archaeal species. Highlight any potential off-target effects and provide recommendations for minimizing them. 4. **Results Presentation**: Display the designed sgRNAs in a clear format, including the sequence, location within the genome, and any relevant scores or metrics provided by the 'archaeal-sgrna-designer' package. 5. **Export Options**: Allow users to export their results in various formats (e.g., CSV, Excel) for further analysis or record-keeping. 6. **Documentation and Support**: Include comprehensive documentation explaining how to use the application effectively, along with FAQs and contact information for technical support. This application will significantly streamline the process of designing sgRNAs for archaeal CRISPR-Cas9 experiments, making it accessible to a wider range of researchers.
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