astra-tools

v0.2.9 safe
4.0
Medium Risk

Python CLI and SDK for working with ASTRA (Agentic Schema for Transparent Research Analysis) specifications: validation, paper management, and evidence verification.

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal signs of malicious activity, with no obfuscation or credential risks detected. However, incomplete author information and potential shell execution for local file interactions slightly elevate the risk.

  • Incomplete author metadata
  • Potential local file interactions via shell execution
Per-check LLM notes
  • Network: Network calls appear to be for fetching resources like URLs and PDFs, which could be legitimate for documentation or data retrieval.
  • Shell: Shell execution appears to be related to initializing git operations within a directory, potentially for version control purposes, but could indicate interaction with local files or systems.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating secure handling of secrets.
  • Metadata: The author information is incomplete and the author seems to be new or inactive, which raises some suspicion but does not necessarily indicate malicious intent.

📦 Package Quality Overall: Medium (6.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (2066 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 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 158 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 7 unique contributor(s) across 100 commits in LightconeResearch/astra-tools
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

  • try: response = httpx.get(url, headers=headers, follow_redirects=True, timeout=30.0)
  • try: response = httpx.get(url, follow_redirects=True, timeout=60.0) response.r
  • try: response = httpx.get(url, timeout=30.0) if response.status_code == 404:
  • he PDF pdf_response = httpx.get(pdf_url, follow_redirects=True, timeout=60.0) pdf_re
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • return try: subprocess.run( ["git", "init"], cwd=directory,
  • mmit try: subprocess.run(["git", "add", "."], cwd=directory, capture_output=True, che
  • True, check=True) subprocess.run( ["git", "commit", "-m", "Initial ASTRA anal
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: cea.fr>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository LightconeResearch/astra-tools appears legitimate

⚠ 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 astra-tools 
Create a command-line interface (CLI) tool using Python and the 'astra-tools' package to manage research papers and validate ASTRA specifications. This tool should allow researchers to upload their papers, validate them against ASTRA standards, and verify the evidence within the papers. Here’s a detailed breakdown of the project requirements:

1. **Setup**: Install necessary packages including 'astra-tools'. Ensure you have the latest version of Python installed.
2. **Paper Management**:
   - Users should be able to add new papers to a local database or cloud storage (e.g., AWS S3).
   - Implement functionality to search for papers by title, author, or keywords.
   - Provide options to delete or update existing entries.
3. **ASTRA Validation**:
   - Integrate 'astra-tools' to validate each uploaded paper against ASTRA specifications.
   - Display validation results in a user-friendly format, indicating which sections comply and which need adjustments.
4. **Evidence Verification**:
   - Utilize 'astra-tools' to verify the authenticity and reliability of evidence cited in the papers.
   - Generate reports on the verification process and findings.
5. **User Interface**:
   - Design a simple yet intuitive CLI interface for easy interaction.
   - Include help commands and usage examples.
6. **Testing & Documentation**:
   - Write comprehensive tests to ensure all functionalities work as expected.
   - Document the code and provide a guide on how to use the tool effectively.
7. **Deployment**:
   - Package the application so it can be easily installed via pip.
   - Optionally, create a Docker container for deployment in various environments.

This project aims to streamline the process of managing and validating research papers, making it easier for researchers to adhere to transparent and rigorous standards.

💬 Discussion Feed

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