AI Analysis
The package appears to be primarily focused on project management and initialization for ACP projects with moderate risks related to shell execution and metadata quality. However, there are no indications of malicious activities such as credential theft or obfuscation.
- Moderate shell risk due to use of git commands
- Low metadata quality and maintainership activity
Per-check LLM notes
- Network: The network call is likely for checking the availability or version of a remote registry, which seems benign.
- Shell: Git commands are being used to clone repositories and initialize git within a directory, suggesting the package might be related to git operations but could potentially execute arbitrary code if misused.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret or credential theft.
- Metadata: Low maintainer activity and poor metadata quality suggest potential risk.
Heuristic Checks
Found 1 network call pattern(s)
" try: response = httpx.get(registry_url, timeout=timeout, follow_redirects=True)
No obfuscation patterns detected
Found 6 shell execution pattern(s)
on PATH.""" try: subprocess.run( ["git", "--version"], check=True,failure.""" try: subprocess.run( ["git", "clone", "--depth=1", "--branch", branc# Clone result = subprocess.run( ["git", "clone", "--depth=1", repo_url, str(pkgt repo so git clone works subprocess.run(["git", "init"], cwd=str(pkg_dir), capture_output=True)ir), capture_output=True) subprocess.run(["git", "add", "-A"], cwd=str(pkg_dir), capture_output=True)ir), capture_output=True) subprocess.run( ["git", "-c", "[email protected]", "-c", "us
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
3 maintainer concern(s) found
Author 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 agent-context-mcp package to demonstrate its core features.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue