AI Analysis
The package exhibits low risk across all categories with no signs of malicious behavior. However, incomplete metadata and author information warrant further investigation.
- Low risk in network, shell, obfuscation, and credential aspects.
- Incomplete metadata and author information require additional scrutiny.
Per-check LLM notes
- Network: The detected network patterns suggest normal HTTP(S) requests, likely for API authentication or similar functionality.
- Shell: No shell execution patterns were detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: Low risk but requires further investigation due to incomplete metadata and author information.
Package Quality Overall: Medium (6.2/10)
Test suite present — 2 test file(s) found
Test runner config found: pyproject.toml2 test file(s) detected (e.g. test_oauth.py)
Some documentation present
Documentation URL: "Documentation" -> https://docs.axio-agent.comDetailed PyPI description (7780 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
33 type-annotated function signatures detected in source
Active multi-contributor project
3 unique contributor(s) across 100 commits in mosquito/axio-agentSmall but multi-author team (3–4 contributors)
Heuristic Checks
Found 5 network call pattern(s)
try: async with aiohttp.ClientSession() as session: token_data = await _exchange_c_token, } async with aiohttp.ClientSession() as session: async with session.post(TOKEN_URL, jso} async with aiohttp.ClientSession() as sess: async with sess.post(TOKEN_URL, json== fake_server async with aiohttp.ClientSession() as session: yield CodexTransport( basese_sse("ok")) async with aiohttp.ClientSession() as session: t = CodexTransport( base_u
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
Repository mosquito/axio-agent appears legitimate
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
Create a Python-based command-line utility named 'ChatBotCLI' that leverages the 'axio-transport-codex' package to interact with the ChatGPT API. This utility will allow users to authenticate via OAuth and then engage in real-time chat sessions with the AI, asking questions and receiving responses directly from the CLI. Steps to build the utility: 1. Set up the project structure and install necessary dependencies, including 'axio-transport-codex'. 2. Implement OAuth authentication flow to securely obtain access tokens for the ChatGPT API. 3. Develop a user-friendly interface that accepts input from the command line and displays responses from the API. 4. Integrate error handling to manage issues like network errors or invalid inputs gracefully. 5. Add logging to record user interactions and API responses for troubleshooting and analytics purposes. 6. Implement additional features such as saving chat history to a local file, allowing users to load previous conversations, and supporting multi-language support for international users. 7. Test the utility thoroughly to ensure it works as expected under various conditions. 8. Document the code and provide usage instructions for other developers or end-users. The 'axio-transport-codex' package is utilized primarily for making authenticated requests to the ChatGPT API, facilitating seamless communication between the CLI and the AI service. It abstracts away much of the complexity involved in handling HTTP requests and responses, allowing you to focus on building a rich and interactive chat experience.
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