agentegrity

v0.6.0 suspicious
5.0
Medium Risk

The open standard for AI agent integrity. Evaluate, enforce, and prove that autonomous agents are adversarially coherent, environmentally portable, and verifiably assured.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate suspicion due to high obfuscation risk, despite low scores in other categories. The single package by the author adds a layer of uncertainty.

  • High obfuscation risk
  • Single package by the author
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no immediate signs of malicious activities.
  • Obfuscation: The code snippet shows obfuscated import statements which may be used to hide functionality and intentions of the code.
  • Credentials: No clear patterns for harvesting credentials or secrets were detected.
  • Metadata: The author has only one package on PyPI, which may indicate a new or less active maintainer, raising some suspicion but not conclusive evidence of malice.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • lambda p, c: [__import__( "agentegrity.layers.adversarial", fromlist=["ThreatAssessment"] ).ThreatAssessment( channel="test
✓ 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 cogensec/agentegrity-framework appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Cogensec Research" 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 agentegrity 
Create a mini-application that utilizes the 'agentegrity' package to ensure the integrity of autonomous chatbots in a multi-agent environment. This application should allow users to upload their chatbot models and run them through a series of integrity tests based on the criteria provided by the 'agentegrity' package. The app should include the following features:

1. User Interface: A simple web interface where users can upload their chatbot models.
2. Integrity Testing: Implement tests to evaluate if the chatbots are adversarially coherent, environmentally portable, and verifiably assured.
3. Reporting: Provide detailed reports after each test run, highlighting strengths and weaknesses of the chatbot's integrity.
4. Continuous Improvement: Allow users to iterate on their chatbot models based on feedback from the integrity tests.
5. Integration: Ensure the application integrates seamlessly with popular machine learning frameworks such as TensorFlow or PyTorch.

The 'agentegrity' package will be utilized throughout the development process to enforce integrity standards during the testing phase and to generate verifiable proofs of adherence to these standards. Users should be able to download these proofs for further analysis or verification purposes.

💬 Discussion Feed

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