agr-curation-api-client

v0.12.0 safe
3.0
Low Risk

Unified Python client for Alliance of Genome Resources (AGR) curation APIs

🤖 AI Analysis

Final verdict: SAFE

The package exhibits typical behavior for an API client with minimal risk indicators. The incomplete author information slightly increases suspicion, but there are no definitive signs of malicious activity or supply-chain attacks.

  • Low network, shell, obfuscation, and credential risks.
  • Incomplete author metadata.
Per-check LLM notes
  • Network: The observed network call patterns are typical for a client API package, indicating normal HTTP/HTTPS requests to an external server.
  • Shell: No shell execution patterns were detected in the provided code snippet.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating secure handling of secrets.
  • Metadata: The author information is incomplete, which could indicate potential risks, but no other suspicious activities are detected.

📦 Package Quality Overall: Medium (6.2/10)

✦ High Test Suite 9.0

Test suite present — 13 test file(s) found

  • Test runner config found: pyproject.toml
  • Test runner config found: setup.cfg
  • 13 test file(s) detected (e.g. test_all_ontology_types.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/alliance-genome/agr_curation_api_client#r
  • Detailed PyPI description (16129 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

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

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in alliance-genome/agr_curation_api_client
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

  • T": request = urllib.request.Request(url=url, headers=headers) else:
  • 8") request = urllib.request.Request(url=url, method=method.upper(), headers=headers, dat
  • quest_data) with urllib.request.urlopen(request) as response: if response.ge
  • utf-8") request = urllib.request.Request(url=url, method="POST", headers=headers, data=reques
✓ 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: caltech.edu>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository alliance-genome/agr_curation_api_client appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 agr-curation-api-client 
Create a genome curator's assistant tool using the 'agr-curation-api-client' Python package. This tool will streamline the process of managing and validating gene annotations within the Alliance of Genome Resources (AGR) database. Here’s a step-by-step guide on how to build this application:

1. **Setup Environment**: Begin by setting up a Python virtual environment and installing the 'agr-curation-api-client'. Also, include any necessary dependencies for handling data and UI components.

2. **User Authentication**: Implement user authentication to ensure only authorized curators can access the tool. Use tokens provided by AGR for secure API access.

3. **Gene Information Fetcher**: Develop a feature that allows users to search for genes by ID or name. Utilize the 'agr-curation-api-client' to fetch comprehensive information about each gene, including its aliases, synonyms, and associated diseases.

4. **Annotation Validator**: Build a module that checks the consistency and accuracy of gene annotations against the latest AGR standards. This could involve comparing existing annotations with new data fetched from the API.

5. **Annotation Editor**: Provide an interface where curators can edit annotations directly through the tool. Ensure changes are saved back to the AGR database via the API.

6. **Reporting Tool**: Integrate a reporting system that generates summary reports on the status of gene annotations, highlighting discrepancies and areas needing attention.

7. **User Interface**: Design a clean and intuitive UI using a web framework like Flask or Django. The UI should be responsive and easy to navigate, with clear instructions for each task.

8. **Testing and Documentation**: Before deployment, thoroughly test all functionalities and document the tool’s usage, including setup instructions, API usage guidelines, and troubleshooting tips.

The 'agr-curation-api-client' will be central to fetching and updating gene data, ensuring that your tool remains aligned with the latest genomic research standards set by AGR.