anchor-sdk

v0.2.0 suspicious
4.0
Medium Risk

ANCHOR SDK — two-way guardrail for AI agents. Gate inputs, outputs, and actions.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no signs of direct malicious behavior such as obfuscation or credential theft. However, the lack of repository availability and sparse maintainer information raise concerns about its provenance and intent.

  • Metadata risk score of 6 out of 10 due to missing repository and limited maintainer details
  • No evidence of obfuscation or credential harvesting
Per-check LLM notes
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity related to stealing secrets.
  • Metadata: The repository is not found and the maintainer information is sparse, raising concerns about potential malicious intent.

📦 Package Quality Overall: Low (3.6/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://anchormonitor.com/docs
  • Detailed PyPI description (1134 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 20 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

  • try: resp = requests.post( f"{self.url}/gate/check-action",
  • try: resp = requests.post( f"{self.url}/gate/check", j
  • one: try: requests.post( f"{self.url}/agents/register",
  • try: resp = requests.post( f"{self.url}/divergence/ingest",
  • one: try: requests.post( f"{self.url}/divergence/reflections",
✓ 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: anchormonitor.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ 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 anchor-sdk 
Create a mini-application called 'SafeGuardAI' that acts as a safety layer for AI chatbot interactions. This application will use the Python package 'anchor-sdk' to ensure that both the inputs and outputs of the chatbot are safe and appropriate. Here are the steps and features to include:

1. **Setup**: Start by installing the 'anchor-sdk' package. Ensure you have a basic understanding of its functionality, which includes setting up guards for input validation and output filtering.
2. **User Input Validation**: Implement a feature where the application receives user inputs and passes them through the 'anchor-sdk' to check if they are safe before passing them to the chatbot engine. The 'anchor-sdk' should flag any potentially harmful or inappropriate inputs.
3. **Chatbot Response Filtering**: After receiving responses from the chatbot engine, use the 'anchor-sdk' to filter these responses for any unsafe content before presenting them to the user. This ensures that only safe and appropriate information is shared.
4. **Logging Mechanism**: Include a logging mechanism that records all interactions, including flagged inputs and filtered outputs, for later review and analysis.
5. **Customization Options**: Allow users/admins to customize the guardrails within the 'anchor-sdk' based on their specific needs, such as blocking certain keywords or phrases.
6. **Real-time Monitoring**: Add real-time monitoring capabilities so that any detected issues can be addressed immediately.
7. **Testing and Validation**: Rigorously test the application to ensure that it accurately filters out inappropriate content and allows legitimate conversations to flow freely.

The goal is to create a robust and flexible application that enhances the safety and reliability of AI chatbot interactions using the powerful 'anchor-sdk' package.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!