authgent-ai

v0.2.0 suspicious
4.0
Medium Risk

Secure your AI agent's API calls. Zero-custody credential management.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate network risk and questionable metadata, suggesting possible malicious intent or at least poor development practices.

  • moderate network risk
  • questionable metadata
Per-check LLM notes
  • Network: The package makes network calls which could be legitimate if it's designed to interact with external services. However, the nature of these interactions should be verified.
  • Shell: No shell execution patterns were detected, indicating a low risk of direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of low effort and potential anonymity, raising suspicion.

📦 Package Quality Overall: Low (3.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 2 test file(s) detected (e.g. test_agent.py)
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 4 type-annotated function signatures (partial)
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • p("/") self._client = httpx.Client(timeout=30) def call( self, provider: s
  • } async with httpx.AsyncClient(timeout=30) as client: resp = await client.post(
  • f _register(args): resp = httpx.post( f"{args.url}/v1/agents", json={"agent_name"
  • encode()).decode() resp = httpx.post( f"{args.url}/v1/providers", json={
  • _require_token() resp = httpx.post( f"{args.url}/v1/agents/rotate", json={"agen
  • _require_token() resp = httpx.post( f"{args.url}/v1/agents/revoke", json={"agen
✓ 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

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 8.0

4 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 authgent-ai 
Create a secure AI-driven personal assistant app named 'AI Buddy' using Python and the 'authgent-ai' package. This app will manage credentials for users to interact with various third-party services securely without storing any sensitive information locally. Here’s how it works:

1. **User Authentication**: Users sign up or log in through their preferred method (email/password, OAuth, etc.). 'authgent-ai' generates and manages zero-custody credentials for each user.
2. **Service Integration**: After authentication, users can integrate their accounts from different services (e.g., Twitter, Spotify, Google Calendar) into 'AI Buddy'. 'authgent-ai' handles all credential exchanges securely.
3. **Secure API Calls**: 'AI Buddy' makes API calls on behalf of the user to these integrated services. For example, fetching latest tweets, adding songs to a playlist, or scheduling appointments. Each call is authenticated using credentials managed by 'authgent-ai', ensuring security and privacy.
4. **Activity Log**: Maintain a log of all activities performed by 'AI Buddy' on behalf of the user. This includes successful API calls and any errors encountered.
5. **Customizable Assistant Actions**: Allow users to set up custom actions that 'AI Buddy' can perform based on specific triggers (e.g., send a reminder when a new email arrives).
6. **Privacy Settings**: Provide users with granular control over which services 'AI Buddy' can access and what actions it can perform.
7. **User Interface**: Develop a simple and intuitive web-based interface for users to manage their accounts, view logs, and customize settings.

The 'authgent-ai' package plays a crucial role in ensuring that all credential management is handled securely and efficiently, without compromising user privacy. Your task is to design and implement this mini-app, focusing on security, usability, and scalability.

💬 Discussion Feed

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