AI Analysis
The package exhibits medium-level risks due to potential shell command execution and obfuscation techniques, which may be indicative of hidden malicious behavior.
- High shell risk due to potential command injection
- Significant obfuscation risk suggesting possible hiding of malicious behavior
Per-check LLM notes
- Network: The network patterns suggest controlled redirection attempts which might be benign if intended for rate limiting or error handling.
- Shell: Executing external commands without proper validation or sanitization poses a significant risk for potential malicious activities like command injection.
- Obfuscation: The code appears to be obfuscating environment variable access, which could be used to mask or hide potentially malicious behavior.
- Credentials: No clear patterns of credential harvesting are detected, but the manipulation of environment variables may still pose a risk.
- Metadata: The maintainer has only one package, which could indicate a new or less active account, but there are no other red flags.
Package Quality Overall: Medium (6.2/10)
Test suite present — 7 test file(s) found
7 test file(s) detected (e.g. test_arg_routing.py)
Some documentation present
Detailed PyPI description (18413 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
147 type-annotated function signatures detected in source
Active multi-contributor project
4 unique contributor(s) across 100 commits in thepixelabs/altergoSmall but multi-author team (3–4 contributors)
Heuristic Checks
Found 3 network call pattern(s)
class _CappedRedirect(urllib.request.HTTPRedirectHandler): max_redirections = 3on_info.minor}" req = urllib.request.Request(UPDATE_PYPI_URL, headers={"User-Agent": ua})Agent": ua}) opener = urllib.request.build_opener(_CappedRedirect()) with opener.open(req
Found 2 obfuscation pattern(s)
, env={ **__import__("os").environ, # Point ALTERGO_ACCOUNTS_DIR isn't a rtext=True, env={**__import__("os").environ, "HOME": str(tmp_path)}, ) assert result.re
Found 6 shell execution pattern(s)
Process: try: r = subprocess.run( [SECURITY_CMD] + argv, capture_outpAUTH_TOKEN"} try: subprocess.run([claude_bin, "setup-token"], env=setup_env) except Keybo""" try: result = subprocess.run( ["tmux", "list-sessions", "-F", "#{session_namell = time.time() result = subprocess.run(cmd, env=run_env, cwd=launch_cwd) # Record the last sess, ) result = subprocess.run(shell_cmd, env=run_env) _print_launch_message() retu, ) result = subprocess.run(inner_cmd, env=run_env) _print_launch_message() retu
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository thepixelabs/altergo appears legitimate
1 maintainer concern(s) found
Author "thepixelabs" 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 multi-account session management tool called 'SessionSwitcher' using the Python package 'altergo'. This tool will allow users to seamlessly switch between different accounts on platforms like Claude Code, Gemini CLI, Codex, and Copilot without breaking their current session or losing context. Step 1: Define the Core Functionality - Implement account management: Allow users to add, remove, and list accounts associated with the supported platforms. - Session switching: Enable users to switch between sessions of different accounts instantly. - Context preservation: Ensure that when switching accounts, any ongoing tasks or contexts are preserved as much as possible. Step 2: Design the User Interface - Command-line interface (CLI): Develop a user-friendly CLI that provides clear commands for adding, removing, listing, and switching accounts. - Optional GUI: If time permits, consider developing a simple graphical user interface for ease of use. Step 3: Integrate 'altergo' - Utilize 'altergo' for managing multiple accounts and switching sessions efficiently. - Explore how 'altergo' handles session persistence and context switching to implement similar functionality in 'SessionSwitcher'. Step 4: Implement Additional Features - Account-specific settings: Allow users to set up specific configurations or preferences for each account. - Automatic session saving: Automatically save session states when switching accounts to ensure continuity. - Logging and error handling: Implement logging to track actions and errors, enhancing usability and debugging capabilities. Step 5: Testing and Documentation - Thoroughly test 'SessionSwitcher' with various scenarios to ensure reliability and efficiency. - Write comprehensive documentation detailing installation, configuration, usage, and troubleshooting tips.
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