AI Analysis
The package exhibits moderate risks due to network interactions and shell command execution, which could be legitimate but also indicative of potential unauthorized actions. Additionally, low metadata quality raises concerns about its legitimacy.
- moderate network risk
- shell command execution
- low metadata quality
Per-check LLM notes
- Network: The observed network calls could be legitimate if the package is designed to interact with external services, but they may also indicate unauthorized data transmission.
- Shell: Executing shell commands like modifying git remote URLs might be part of a deployment process, but it can also signify attempts to alter repository configurations, potentially for malicious purposes.
- Obfuscation: No obfuscation patterns detected.
- Credentials: The code appears to be retrieving credentials for GitHub API access, which is common practice but should ensure proper handling and security measures.
- Metadata: The package shows signs of low maintenance and potential lack of transparency, raising concerns about its legitimacy.
Package Quality Overall: Low (3.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Brief PyPI description (383 chars)
Some contribution signals present
Governance file: security.py
Partial type annotation coverage
119 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)
try: with urllib.request.urlopen(endpoint, timeout=3.0) as resp: # noqa: S310 - userccess_tokens" async with httpx.AsyncClient() as client: res = await client.post(er_page = 100 async with httpx.AsyncClient() as client: while True: res = await cpage = 1 async with httpx.AsyncClient() as client: while True: res = await cconfigured") async with httpx.AsyncClient() as client: res = await client.post(tch user info async with httpx.AsyncClient() as client: user_res = await client.get(
No obfuscation patterns detected
Found 3 shell execution pattern(s)
one try: proc = subprocess.run( ["git", "remote", "get-url", "origin"],import re proc = subprocess.run( ["git", "remote", "get-url", "origin"],{repo_slug}.git" subprocess.run( ["git", "remote", "set-url", "origin", aut
Found 2 credential access pattern(s)
turn github_token return os.environ.get("GITHUB_TOKEN") or os.environ.get("GH_TOKEN") or "" """GitHub OAuth heltoken = github_token or os.environ.get("GITHUB_TOKEN", "") data_dir = Path(os.environ.get("AGENTRIX_DATA_DI
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
4 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Build a simple Python application using the agentrix-relay package to demonstrate its core features.