🤖 AI Analysis

Final verdict: SAFE

The package appears to be safe for use given the low risks across all categories except for metadata quality, where it shows signs of poor maintenance.

Low risk in network, shell, obfuscation, and credential areas.
Poor metadata quality and low maintainer activity.

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external API interactions.
Shell: No shell execution patterns detected, indicating the package likely does not execute external commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No secret harvesting patterns detected, suggesting safe handling of credentials.
Metadata: The package shows low maintainer activity and poor metadata quality, which may indicate a lack of transparency and could be suspicious.

🔬 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

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with WarEraAPI

Your task is to create a real-time player statistics tracker and analysis tool for the online multiplayer game WarEra using the 'WarEraAPI' Python package. This tool will allow players to input their username and view their current stats, recent matches, and even analyze their performance trends over time.

Step 1: Set up your development environment with Python and install the 'WarEraAPI'. Ensure you have the latest version of the package available.

Step 2: Design the main interface where users can enter their username. Once they submit, fetch their data from the API.

Step 3: Display the user's current stats such as level, experience points, win rate, and any other relevant metrics provided by the API.

Step 4: Implement a feature to show the user's most recent matches, including match outcomes, opponents, and any significant achievements.

Step 5: Add functionality to track changes in the user's stats over time. For instance, plot graphs showing how their win rate has changed over the past months or years.

Suggested Features:
- Allow users to compare their stats against another player's stats.
- Integrate a news feed displaying recent updates or events from the WarEra community.
- Offer personalized tips based on the user's gameplay analysis.
- Provide a leaderboard feature showcasing top players based on various criteria like highest win rate, most experience points, etc.

The 'WarEraAPI' package will be used extensively throughout the project to interact with the WarEra server, retrieve player information, and perform operations related to the game's data.