AI Analysis
The package shows high metadata risk due to suspicious repository activity and maintainer history, while other specific risks such as network, shell execution, obfuscation, and credential harvesting are relatively low.
- High metadata risk
- Potential supply-chain attack indicators
Per-check LLM notes
- Network: The observed network calls suggest interaction with an external API, which could indicate legitimate functionality but also raises concerns about potential unauthorized data transfer.
- Shell: No shell execution patterns were detected.
- Obfuscation: No obfuscation patterns detected, suggesting low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: High risk due to suspicious git repository activity and maintainer history.
Package Quality Overall: Low (4.6/10)
Test suite present — 6 test file(s) found
6 test file(s) detected (e.g. test_api.py)
Some documentation present
Brief PyPI description (220 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
69 type-annotated function signatures detected in source
Single-author or unverifiable project
1 unique contributor(s) across 1 commits in amacrin-labs/cliSingle author with few commits — possibly a personal or throwaway project
Heuristic Checks
Found 5 network call pattern(s)
api_base(api_base) resp = httpx.post( f"{base}/archives", json=payload, h_id={account_id}" resp = httpx.get(url, headers=_auth_headers(token), timeout=30.0) _handleapi_base(api_base) resp = httpx.get( f"{base}/archives/{archive_id}/status", heaapi_base(api_base) resp = httpx.post( f"{base}/archives/{archive_id}/deploy", jso+= "?force=true" resp = httpx.post(url, headers=_auth_headers(token), timeout=30.0) _handle
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: rory.bio>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forksVery few commits: 1 totalSingle contributor with only 1 commit(s) — possibly throwaway account
3 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)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a Python-based utility called 'AmacrinDeployer' that leverages the 'amacrin' package to streamline the deployment and management of OSA archives on the Amacrin cloud platform. This utility should provide a user-friendly interface for performing common tasks such as uploading new archives, updating existing ones, listing all deployed archives, and deleting obsolete files. Additionally, implement logging functionality to keep track of all actions performed through the utility. Ensure your application includes a comprehensive set of unit tests to validate its functionality. Steps to follow: 1. Set up a virtual environment and install the 'amacrin' package. 2. Design the command-line interface for the utility, ensuring it accepts commands like 'deploy', 'update', 'list', and 'delete'. 3. Implement each command using the 'amacrin' package's API, making sure to handle errors gracefully. 4. Integrate logging to record each action taken by the utility. 5. Write unit tests for each feature to ensure reliability. 6. Document the setup process, usage instructions, and any dependencies. Suggested Features: - Support for specifying archive versions when deploying or updating. - Option to schedule regular updates or deletions of archives. - Integration with cloud storage services for automated backup of deployed archives. - Ability to generate detailed reports on archive deployments. By following these steps and incorporating the suggested features, you'll create a powerful tool for managing OSA archives on the Amacrin platform.
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