agentsynth

v0.1.0 suspicious
4.0
Medium Risk

Low-code framework for generating agentic AI systems from a prompt or spec

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package is deemed suspicious due to elevated metadata risk, despite having low scores in network, shell, obfuscation, and credential risks.

  • Elevated metadata risk score of 6 out of 10
  • Potential red flags indicating suspicious or malicious behavior
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 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 several red flags indicating it might be suspicious or potentially malicious.

📦 Package Quality Overall: Low (4.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_core.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (10032 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

  • 31 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 4 commits in navid72m/agentforge
  • Single author with few commits — possibly a personal or throwaway project

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 5.0

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
  • Single contributor with only 4 commit(s) — possibly throwaway account
⚠ Maintainer History score 6.0

3 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)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with agentsynth 
Create a personalized task management assistant using the 'agentsynth' package. This assistant will help users manage their daily tasks, set reminders, and track progress. The app should have the following functionalities:

1. Users can add tasks with descriptions, deadlines, and priority levels.
2. The assistant will remind users of upcoming tasks based on their deadlines.
3. Users can mark tasks as completed, which updates the task status.
4. The assistant provides a summary of completed and pending tasks at the end of each day.
5. Users can query the assistant about specific tasks, such as checking the status of a particular task or finding all high-priority tasks.
6. The assistant adapts its responses based on user feedback, becoming more efficient over time.

Utilize 'agentsynth' to define the behavior of the assistant through prompts or specifications. For example, you could specify that the assistant should respond politely and provide clear instructions. Additionally, leverage 'agentsynth' to handle the interaction between the user and the assistant, making sure the conversation flow is natural and intuitive. Your goal is to create a seamless user experience where managing tasks feels like a conversation with a helpful assistant.