🤖 AI Analysis

Final verdict: SAFE

The package exhibits minimal risks in terms of network usage, shell execution, and code obfuscation. While there are some concerns regarding the metadata, particularly the author's anonymity and a newly created account, these alone do not strongly indicate malicious activity.

No network calls detected
No shell execution detected
Author has no name and is from a new account

Per-check LLM notes

Network: No network calls detected, which is normal unless the package's functionality requires external communications.
Shell: No shell execution detected, indicating the package does not perform any system command executions.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some red flags such as an author with no name and a new account, but there's no clear evidence of typosquatting or other malicious intent.

🔬 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: ai-manifests.org>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ 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 acb-manifest

Develop a Python-based mini-application that leverages the 'acb-manifest' package to manage cognitive budgets for agents within a simulated environment. This application will serve as a proof-of-concept for managing computational resources efficiently in a multi-agent system. The application should include the following core functionalities:

1. **Agent Creation**: Users should be able to create multiple agents with customizable cognitive budgets.
2. **Budget Management**: Implement functionality to adjust each agent's cognitive budget dynamically based on task complexity or resource availability.
3. **Task Assignment**: Allow users to assign tasks to agents, ensuring that the assigned tasks do not exceed the agent's current cognitive budget.
4. **Resource Monitoring**: Provide real-time monitoring of each agent's cognitive budget usage, including alerts when an agent is approaching its budget limit.
5. **Report Generation**: Generate comprehensive reports detailing each agent's performance and resource utilization over time.
6. **User Interface**: Develop a simple command-line interface (CLI) for interacting with the application, allowing users to perform all actions mentioned above.

The 'acb-manifest' package will be central to this project, primarily used for defining and managing the cognitive budgets of the agents. Ensure that you utilize the package's core functionalities to define budgets, allocate tasks, and monitor resource usage. Additionally, consider integrating error handling and logging mechanisms to enhance the robustness of your application.