artefacts-cli

v0.17.0 suspicious
4.0
Medium Risk

(No description)

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some potential risks, primarily due to its metadata indicating a possibly new or inactive account with no maintainer history and a missing repository. While network, shell, obfuscation, and credential risks are low, the metadata risk warrants further investigation.

  • Metadata risk indicating potential new or inactive account
  • Missing repository link
Per-check LLM notes
  • Network: The use of httpx.Client and httpx.AsyncClient suggests the package is making network requests, which could be legitimate if it's designed to interact with APIs or remote services.
  • Shell: No shell execution patterns were detected, indicating there is no evidence of direct system command execution within the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of potentially being new or from an inactive account with no maintainer history and a missing repository.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (2072 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 232 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

  • e: self._client = httpx.Client( base_url=self._base_url, co
  • context manager for internal httpx.Client (see httpx docs)""" self.get_httpx_client().__exit__(
  • self._async_client = httpx.AsyncClient( base_url=self._base_url, co
  • ontext manager for underlying httpx.AsyncClient (see httpx docs)""" await self.get_async_httpx_client
  • ) self._client = httpx.Client( base_url=self._base_url, co
✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: artefacts.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with artefacts-cli 
Develop a mini-application called 'Artifact Manager' that leverages the 'artefacts-cli' Python package to interact with the Artefacts platform. This application should allow users to manage their artifacts (such as models, datasets, and experiments) efficiently through a command-line interface. Here’s a detailed breakdown of what the application should accomplish:

1. **User Authentication**: Implement a feature that allows users to authenticate themselves using their Artefacts credentials. This will involve utilizing the 'artefacts-cli' package to handle authentication tokens and sessions.

2. **Artifact Listing**: Enable users to list all available artifacts within their Artefacts account. The application should display details such as artifact name, type, creation date, and last updated time.

3. **Artifact Upload**: Provide functionality to upload new artifacts to the Artefacts platform. Users should be able to specify the type of artifact (e.g., model, dataset), provide necessary metadata, and upload files or directories.

4. **Artifact Download**: Allow users to download artifacts from their Artefacts account. This feature should support downloading single artifacts or entire directories recursively.

5. **Artifact Deletion**: Implement a feature to delete artifacts from the Artefacts platform. Ensure that users have options to confirm deletions and understand the implications.

6. **Metadata Management**: Offer tools for managing metadata associated with artifacts. Users should be able to view, edit, and add metadata fields to their artifacts.

7. **Search Functionality**: Integrate a search feature that enables users to find specific artifacts based on various criteria like tags, types, and dates.

8. **Version Control**: If supported by the Artefacts platform, implement version control features allowing users to track different versions of their artifacts.

The application should be user-friendly, providing clear prompts and error messages. Additionally, it should include comprehensive documentation detailing how to install and use the application, as well as any dependencies required.

In terms of implementation, focus on leveraging the 'artefacts-cli' package to its fullest extent, ensuring that all interactions with the Artefacts platform are seamless and efficient. Consider writing unit tests to ensure the reliability of your application.

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