AI Analysis
The package appears generally benign but has some concerning metadata indicators, such as sparse author information and a potentially new or inactive account.
- Sparse author information
- Potentially new or inactive author account
Per-check LLM notes
- Network: Network calls to a base URL indicate the package is likely designed to interact with a remote service, which is common for SDKs but should be reviewed for the destination and data being sent.
- Shell: No shell execution patterns detected, indicating low risk for direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author information is sparse and the account seems new or inactive, raising some suspicion.
Package Quality Overall: Low (4.2/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Brief PyPI description (527 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
29 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
Found 6 network call pattern(s)
}/{path}") response = requests.get(self.base_url + "/" + path, headers=self._headers(), timeout}/{path}") response = requests.post( self.base_url + "/" + path, headers=self._heade}/{path}") response = requests.patch( self.base_url + "/" + path, headers=self._heade}/{path}") response = requests.put( self.base_url + "/" + path, headers=self._heade}/{path}") response = requests.delete(self.base_url + "/" + path, headers=self._headers(), timeoutas f: response = requests.post( url, headers=self._headers_
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: okapiorbits.space>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
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 Python-based celestial navigation application named 'AstroNav' using the 'astrolabe-sdk' package. AstroNav will help sailors and astronomy enthusiasts calculate their position on Earth based on celestial observations. The app should allow users to input observed celestial bodies such as stars, planets, and the moon, along with their altitudes and azimuths at a specific time and location. Using these inputs, the application will then use the astrolabe-sdk to perform calculations and provide the user with their geographic coordinates (latitude and longitude). Additionally, the app should offer features like: 1. A database of celestial objects with their approximate positions in the sky for different dates and times. 2. An interactive map displaying the calculated position and other navigational points. 3. Historical data visualization showing past positions over time. 4. A feature to save and retrieve previous sessions for future reference. To achieve these functionalities, you'll need to utilize the 'astrolabe-sdk' package to interact with the OKAPI:Astrolabe API. This includes making requests to get celestial object data, performing positional calculations, and retrieving geographic coordinates. Ensure that your application handles errors gracefully, provides clear instructions for the user, and is easy to navigate.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue