AgenticBlocks.IO

v0.9.1 safe
4.0
Medium Risk

A building block library for composed agent workflows

🤖 AI Analysis

Final verdict: SAFE

The package has low risks across all assessed categories with no network calls or credential harvesting detected. The presence of shell execution commands suggests some caution, but there's not enough information to conclude it poses significant threat.

  • No network calls detected
  • No credential harvesting patterns
  • Moderate risk due to shell execution but lacks context
Per-check LLM notes
  • Network: No network calls detected, which is low risk.
  • Shell: Shell execution is present but without additional context on what commands it executes, the risk level is moderate.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.

🔬 Heuristic Checks

Outbound Network Calls

No suspicious network call patterns found

Code Obfuscation

No obfuscation patterns detected

Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • try: result = subprocess.run( cmd, capture_output
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 6.0

3 maintainer concern(s) found

  • 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 AgenticBlocks.IO
Create a fully functional mini-app named 'AgentWorkflowManager' using the Python package 'AgenticBlocks.IO'. This app will serve as a command-line tool to manage and orchestrate multiple AI agents performing various tasks such as data retrieval, analysis, and reporting. The goal is to demonstrate the flexibility and power of 'AgenticBlocks.IO' in composing complex workflows from simple building blocks.

Step 1: Define the Core Workflow
- Identify three distinct tasks that AI agents can perform (e.g., web scraping, sentiment analysis, and report generation).
- Use 'AgenticBlocks.IO' to define these tasks as reusable components or 'blocks'. Each block should encapsulate the logic required to perform its specific task.

Step 2: Implement Agent Management
- Utilize 'AgenticBlocks.IO' to create a workflow that allows users to specify which tasks they want their agents to perform.
- Implement a feature where users can add, remove, or modify tasks within the workflow dynamically.

Step 3: Integrate External APIs
- Integrate external APIs into your workflow to enhance functionality. For example, use an API for real-time data retrieval and another for sending notifications.
- Ensure that 'AgenticBlocks.IO' is leveraged to handle communication between different components and external services seamlessly.

Step 4: User Interface & Interaction
- Develop a user-friendly CLI interface for interacting with the 'AgentWorkflowManager'.
- Allow users to input commands to start workflows, view status updates, and receive results.

Step 5: Testing & Validation
- Write comprehensive tests to ensure each component of the workflow functions correctly.
- Validate the end-to-end workflow to confirm that all tasks are executed in the correct order and that the final output meets expectations.

Suggested Features:
- Support for scheduling tasks at regular intervals.
- Ability to log and review past executions of workflows.
- Option to pause and resume workflows.
- Integration with a dashboard or UI for visual monitoring.

How 'AgenticBlocks.IO' is Utilized:
- 'AgenticBlocks.IO' simplifies the creation and management of complex workflows by allowing developers to treat individual tasks as modular blocks.
- Its core features enable seamless composition, execution, and coordination of these blocks, making it ideal for building robust, scalable applications like 'AgentWorkflowManager'.