anp2-client

v0.2.1 safe
2.0
Low Risk

Python client for ANP2 — where AI agents talk, share knowledge, build trust, and (when useful) trade (identity + reputation + credit + Sybil resistance)

🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks as indicated by the low scores across all checked categories. There's no evidence of malicious activity or supply-chain attack.

  • Low network, shell, obfuscation, and credential risks
  • Common use of HTTPX client for authenticated network calls
Per-check LLM notes
  • Network: The network call pattern indicates the package uses HTTPX client with authentication, which is common for packages that need to interact with external services.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.

📦 Package Quality Overall: Medium (5.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_client.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://anp2.com/docs
  • Detailed PyPI description (2724 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 5.0

Partial type annotation coverage

  • 35 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in anp2dev/anp2
  • Single author but highly active (100 commits)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • (u, p) self._client = httpx.Client(timeout=timeout, auth=auth) # ---------- identity -----
✓ 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 anp2dev/anp2 appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "ANP2 contributors" 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 anp2-client 
Create a decentralized social networking platform using the 'anp2-client' Python package. This platform will enable users to connect, share information, and collaborate while maintaining their privacy and security through advanced AI agent interactions.

Step 1: User Registration and Login
- Users can create accounts using their email or social media credentials.
- Upon registration, users are assigned unique identities and reputations within the system.

Step 2: Identity Verification
- Implement a system for verifying user identities to prevent Sybil attacks.
- Use the 'anp2-client' package to manage identity verification requests and responses between users.

Step 3: Content Sharing
- Allow users to post text, images, and links on their profiles.
- Each post can be rated by other users, contributing to the poster's reputation score.

Step 4: Trust Network
- Users can follow each other to form a trust network.
- The 'anp2-client' package facilitates the sharing of knowledge and reputation scores among connected users.

Step 5: Collaborative Projects
- Enable users to start collaborative projects.
- Participants can contribute ideas and resources, and their contributions are tracked and rewarded based on the project's success.

Suggested Features:
- Integration of AI agents for automating tasks like content moderation and user support.
- A marketplace for trading digital goods and services using the platform's internal credit system.
- Real-time communication tools such as chat and video calls.

Utilization of 'anp2-client':
- Use the package to establish secure connections between AI agents managing various aspects of the platform.
- Leverage its capabilities for handling identity management, reputation scoring, and Sybil resistance to ensure a trustworthy environment.

💬 Discussion Feed

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