arkparser

v0.6.0 safe
3.0
Low Risk

Pure Python parser for ARK: Survival Evolved and ARK: Survival Ascended save files

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity and does not engage in risky behaviors such as network calls or shell executions. The metadata suggests a potential new developer but lacks other red flags.

  • No network calls or shell executions detected
  • Low risk of obfuscation or credential harvesting
  • Single package from author, potentially a new developer
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external communication.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author has only one package, which may indicate a new or less active account, but no other suspicious activities were flagged.

📦 Package Quality Overall: Medium (6.4/10)

✦ High Test Suite 9.0

Test suite present — 20 test file(s) found

  • Test runner config found: pyproject.toml
  • 20 test file(s) detected (e.g. test_asa_header_position.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/vertyco/arkparser#readme
  • Detailed PyPI description (50747 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 536 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 54 commits in vertyco/arkparser
  • Single author but highly active (54 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository vertyco/arkparser appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Vertyco" 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 arkparser 
Create a Python-based utility that analyzes save files from the game ARK: Survival Evolved using the 'arkparser' package. This utility will allow players to explore detailed information about their in-game world and assets without needing to access the game itself. Here’s a step-by-step guide on how to build this utility:

1. **Setup Environment**: Begin by setting up your Python environment and installing necessary packages including 'arkparser'. Make sure you have Python installed and create a virtual environment to manage dependencies.

2. **Loading Save Files**: Utilize 'arkparser' to load ARK save files. These files contain comprehensive data about the player's world, structures, creatures, and resources. Ensure your utility can handle different types of save files and gracefully manage errors when encountering corrupted or unsupported formats.

3. **Data Exploration**: Once loaded, your utility should provide options to explore various aspects of the save file data. Consider implementing features such as:
   - Displaying the current weather conditions and time of day in the ARK world.
   - Listing all structures built by the player along with details like location, materials used, and construction date.
   - Providing statistics on tamed creatures, including species, level, and any equipped items.
   - Showing resource inventories, both personal and base-held, with quantities and last collection times.

4. **Advanced Analysis**: Extend the utility to perform more advanced analyses. For example, calculate the efficiency of resource gathering based on player activity logs, predict optimal times for certain activities based on creature spawn cycles, or even suggest improvements to existing structures based on material availability and usage.

5. **User Interface**: While not mandatory, consider developing a simple command-line interface (CLI) or a graphical user interface (GUI) using a library like Tkinter or PyQt. This will make your utility more accessible to users who may not be comfortable with command-line operations.

6. **Documentation and Testing**: Finally, write documentation for your utility explaining how to use it effectively. Include examples and common issues faced during analysis. Additionally, thoroughly test your utility with multiple save files to ensure reliability and accuracy.

By following these steps, you'll create a valuable tool for the ARK community, offering insights into gameplay data that can enhance strategy and enjoyment.

💬 Discussion Feed

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