antoine-cli

v0.12.0 safe
4.0
Medium Risk

antoine — codebase lookup and indexing for agent skills (greenfield AgentCulture sibling).

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across network, shell execution, and metadata checks. It does not exhibit signs of a supply-chain attack.

  • No network calls detected.
  • Shell executions are limited to version control and self-version checking.
Per-check LLM notes
  • Network: No network calls detected, indicating no immediate risk from network activity.
  • Shell: Shell executions appear to be for version control and self-version checking, suggesting benign use.
  • Metadata: The maintainer has only one package, suggesting it might be a new or less active account.

📦 Package Quality Overall: Medium (5.2/10)

✦ High Test Suite 9.0

Test suite present — 22 test file(s) found

  • Test runner config found: pyproject.toml
  • 22 test file(s) detected (e.g. test_cli_chassis.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (3576 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

  • 170 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 38 commits in agentculture/antoine
  • Single author but highly active (38 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • str: try: return subprocess.check_output( ["git", "rev-parse", "--short", "HEAD"],
  • str: try: return subprocess.check_output( ["git", "rev-parse", "--abbrev-ref", "HEAD"],
  • ation() -> None: result = subprocess.run( [sys.executable, "-m", "antoine", "--version"],
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository agentculture/antoine appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "AgentCulture" 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 antoine-cli 
Create a Python-based mini-application called 'SkillFinder' that leverages the 'antoine-cli' package to help developers quickly locate and utilize specific coding skills within large codebases. The application should serve as a powerful tool for enhancing productivity and collaboration among software development teams.

### Core Functionality:
- **Codebase Indexing:** Use 'antoine-cli' to index existing code repositories. This process will create a searchable database of code snippets, functions, classes, and other programming elements.
- **Skill Search:** Allow users to search for specific skills or keywords within the indexed codebase. Users should be able to filter their searches based on language, complexity, and relevance.
- **Snippet Extraction:** Enable users to extract and copy relevant code snippets directly from the indexed data.
- **Documentation Generation:** Automatically generate documentation for each skill or snippet found during a search. This documentation should include usage examples, parameter descriptions, and links back to the original code location.

### Suggested Features:
- **User Interface:** Develop a simple, intuitive command-line interface (CLI) for interacting with the application. Alternatively, consider building a web-based UI for more advanced functionality.
- **Version Control Integration:** Integrate with popular version control systems like Git to allow indexing of remote repositories.
- **Collaboration Tools:** Implement features that allow multiple users to share and collaborate on indexed code snippets.
- **Notifications:** Set up a notification system that alerts users when new code snippets related to their interests are added to the indexed database.

### Utilization of 'antoine-cli':
- **Indexing Process:** Use 'antoine-cli' to scan and index local and remote code repositories. Ensure that the indexing process captures all necessary details about each code element, such as file paths, function names, and comments.
- **Search Mechanism:** Leverage the indexed data generated by 'antoine-cli' to power the search functionality. The search engine should be capable of handling complex queries and returning accurate results.
- **Data Retrieval:** When a user requests a code snippet or documentation, retrieve the relevant information from the indexed database using 'antoine-cli'.
- **Integration Points:** Explore additional ways to integrate 'antoine-cli' into the application workflow, such as automating the indexing process or enhancing the search capabilities.

💬 Discussion Feed

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