AI Analysis
The package aioghost v0.4.16 is assessed as safe due to low risks associated with obfuscation and credential harvesting. While there is some concern regarding the maintainer's metadata, it does not elevate the overall risk to a level indicative of a supply-chain attack.
- No obfuscation patterns detected.
- No credential harvesting patterns detected.
- Maintainer's metadata suggests potential inactivity or newness.
Per-check LLM notes
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
- Metadata: The maintainer has an incomplete profile and may be new or inactive, but there are no other red flags.
Package Quality Overall: Medium (7.4/10)
Test suite present — 2 test file(s) found
Test runner config found: pyproject.toml2 test file(s) detected (e.g. __init__.py)
Some documentation present
Documentation URL: "Documentation" -> https://github.com/TryGhost/aioghost#readmeDetailed PyPI description (2873 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Classifier: Typing :: TypedType checker (mypy / pyright / pytype) referenced in project41 type-annotated function signatures detected in source
Active multi-contributor project
6 unique contributor(s) across 81 commits in TryGhost/aioghostActive community — 5 or more distinct contributors
Heuristic Checks
Found 2 network call pattern(s)
: self._session = aiohttp.ClientSession() self._owns_session = True return self.mport aiohttp async with aiohttp.ClientSession() as session: api = GhostAdminAPI(api_url=API_URL, a
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: icloud.com>
All external links appear legitimate
Repository TryGhost/aioghost appears legitimate
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 fully functional mini-application that serves as a content management system (CMS) for managing blog posts on a Ghost-powered website. Your application will leverage the 'aioghost' Python package to interact with the Ghost Admin API asynchronously. Here's a step-by-step guide on how to develop this application: 1. **Setup**: Begin by setting up your Python environment and installing the 'aioghost' package along with any other necessary dependencies. 2. **Authentication**: Implement a secure method to authenticate with the Ghost Admin API using your Ghost site's URL and provided credentials. Ensure that the authentication token is stored securely. 3. **Post Management**: Develop functionality to create, read, update, and delete blog posts through the Ghost API. This includes fetching all posts, filtering posts by tag or author, and allowing users to edit post content, metadata, and tags. 4. **User Interface**: Design a simple yet effective user interface for interacting with the CMS. Users should be able to easily navigate between different actions like viewing a list of posts, editing posts, and adding new ones. 5. **Advanced Features** (Optional): Consider implementing additional features such as real-time notifications for post updates, support for multiple languages, or integration with social media platforms to automatically publish posts. 6. **Testing & Deployment**: Thoroughly test your application to ensure it functions correctly and securely. Once satisfied, deploy your application either locally or on a cloud service provider. The 'aioghost' package is crucial in this project as it provides an asynchronous interface to the Ghost Admin API, allowing you to perform CRUD operations efficiently without blocking the main thread of execution. By leveraging 'aioghost', you'll be able to manage your Ghost site's content in a scalable and responsive manner.