AI Analysis
The package shows some signs of potential risk due to its network activity and lack of community engagement, though specific malicious intent has not been confirmed.
- Network risk present but not severe
- Low community engagement and single release
Per-check LLM notes
- Network: The observed network call pattern suggests the package is likely making API calls to a server, which could be for legitimate purposes like fetching updates or configuration data.
- Shell: No shell execution patterns detected, indicating no immediate risk of executing arbitrary commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package is new with no community engagement and a single release, raising suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (4.8/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Documentation URL: "Documentation" -> https://github.com/manning-capital/ascent#readme
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
329 type-annotated function signatures detected in source
Limited contributor diversity
2 unique contributor(s) across 63 commits in manning-capital/ascentTwo distinct contributors found
Heuristic Checks
Found 1 network call pattern(s)
p("/") self._client = httpx.Client( base_url=f"{self._base_url}/api", t
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
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
Only one version has ever been released — brand new packageAuthor "Ascent Contributors" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Build a simple Python application using the ascent package to demonstrate its core features.
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