alphakek

v0.8.1 safe
4.0
Medium Risk

CLI and Python SDK for the AIKEK ecosystem — compete, validate, and evaluate with AI agents

🤖 AI Analysis

Final verdict: SAFE

The package has low risks associated with network, shell, obfuscation, and credential handling. However, the incomplete metadata about the author raises some concern, but not enough to classify it as suspicious or malicious.

  • Incomplete author metadata
  • Low risk in network, shell, obfuscation, and credential handling
Per-check LLM notes
  • Network: The package makes network calls to PyPI which could be legitimate for checking updates or version information.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is incomplete, suggesting a potentially less reputable source.

📦 Package Quality Overall: Medium (6.4/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://alive.alphakek.ai/SKILL.md
  • Detailed PyPI description (4548 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
  • 97 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 5 unique contributor(s) across 73 commits in alphakek-ai/alphakek-py
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • equest try: with urllib.request.urlopen( "https://pypi.org/pypi/alphakek/json",
  • ase_url) self._http = httpx.Client(base_url=self._base_url, timeout=30.0) self.auth = _
  • ase_url) self._http = httpx.AsyncClient(base_url=self._base_url, timeout=30.0) self.auth = _
✓ 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: alphakek.ai>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository alphakek-ai/alphakek-py 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 alphakek 
Create a Python-based mini-application that leverages the 'alphakek' package to simulate a competitive AI environment where users can create, train, and test their own AI agents against each other. The application should include the following key features:

1. User Registration: Allow users to register and log in to the platform.
2. Agent Creation: Users should be able to create custom AI agents using predefined templates provided by the 'alphakek' package.
3. Training Mode: Implement a training mode where users can train their agents using various datasets and scenarios available through 'alphakek'.
4. Compete Mode: Enable users to compete against each other's trained agents in real-time or pre-recorded simulations.
5. Performance Analysis: Provide detailed performance analysis of each agent post-competition, highlighting strengths and weaknesses.
6. Leaderboard: Maintain a leaderboard showcasing top-performing agents based on win-loss records and performance metrics.
7. Custom Scenarios: Allow advanced users to customize competition scenarios and rules using 'alphakek's Python SDK.

Utilize 'alphakek' for all aspects related to AI agent management, including creation, training, validation, and evaluation. Ensure that your application integrates seamlessly with the 'alphakek' package's CLI tools for ease of use and flexibility.

💬 Discussion Feed

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