avenir-goals-scenario

v0.0.11 safe
3.0
Low Risk

Goals scenario analysis

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls, shell executions, obfuscations, or credential risks. The metadata risk is slightly elevated due to the author's single package history, but this alone does not suggest a supply-chain attack.

  • No network calls
  • No shell execution patterns
  • Low obfuscation risk
  • No credential harvesting patterns
  • Single package from author
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 immediate risk of unauthorized command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author has only one package, which might indicate a new or less active account, but no other red flags were found.

📦 Package Quality Overall: Medium (5.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://avenirhealth-org.github.io/goals-scenario/
  • Detailed PyPI description (5697 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

  • 89 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in avenirhealth-org/goals-scenario
  • Small but multi-author team (3–4 contributors)

🔬 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: avenirhealth.org>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository avenirhealth-org/goals-scenario appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Rob Ashton" 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 avenir-goals-scenario 
Create a fully functional mini-application called 'FutureVision' that leverages the 'avenir-goals-scenario' Python package to help users analyze and visualize their future goals based on various scenarios. This application will allow users to input their current situation, set long-term objectives, and explore different pathways to achieve those goals by simulating various future scenarios.

Step-by-Step Instructions:
1. User Registration/Login: Implement a simple user registration and login system to save and load user data.
2. Goal Setting: Users should be able to define multiple goals they wish to achieve in life, such as career advancements, personal milestones, financial targets, etc.
3. Scenario Creation: Allow users to create different scenarios that might affect their ability to achieve these goals. Scenarios could include changes in job market conditions, shifts in personal priorities, health issues, economic downturns, etc.
4. Analysis Engine: Utilize the 'avenir-goals-scenario' package to analyze each goal against the created scenarios. The package should provide insights into the likelihood of achieving each goal under different scenarios.
5. Visualization: Develop a visual dashboard where users can see a graphical representation of their goals and how different scenarios impact their success rates.
6. Recommendations: Based on the analysis, provide personalized recommendations to users on how they can adjust their strategies to improve their chances of success.
7. Sharing & Collaboration: Include a feature that allows users to share their scenarios and strategies with friends or colleagues for feedback and collaboration.

Features:
- Comprehensive goal setting with prioritization options
- Detailed scenario creation tool with customizable factors
- Advanced analysis using 'avenir-goals-scenario' package
- Interactive visualization tools
- Personalized recommendations engine
- Secure sharing and collaboration platform

Utilizing 'avenir-goals-scenario':
- Use the package to run simulations and generate reports on how each scenario affects the achievement of set goals.
- Leverage its capabilities for deeper analysis, such as identifying critical success factors and potential risks.
- Integrate its visualization functions to create insightful graphs and charts that represent the data in an easy-to-understand format.

💬 Discussion Feed

Leave a comment

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