AI Analysis
Final verdict: SUSPICIOUS
The package exhibits some suspicious characteristics, particularly concerning its metadata and shell execution capabilities, suggesting potential misuse risks.
- Metadata risk with low-effort details and an unestablished git repository
- Potential misuse of shell execution for package initialization
Per-check LLM notes
- Network: No network calls detected, which is normal and does not indicate any immediate risk.
- Shell: Shell execution is present but seems to be used for package initialization or development purposes, which is common for CLI tools, but should be reviewed for proper usage and permissions.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows several red flags including lack of maintainer history, low-effort metadata, and an unestablished git repository.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 10.0
Found 6 shell execution pattern(s)
ist(args) completed = subprocess.run( cmd, cwd=str(cwd), captPYTHONPATH", "") p = subprocess.run( [sys.executable, "-m", "agensuite.cli", "bootstmport subprocess st = subprocess.run(["git", "status", "--porcelain"],letedProcess[str]: return subprocess.run( [sys.executable, "-m", "agensuite.cli", *args],uman picks merge. p = subprocess.run( [sys.executable, "-m", "agensuite.cli", "human-li, project_root) p = subprocess.run( [sys.executable, "-m", "agensuite.cli", "human-
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
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
Maintainer History
score 8.0
4 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" 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 agensuite
Develop a mini-application named 'DebateBot' using the 'agensuite' Python package, which facilitates a structured debate between two teams of agents representing different business perspectives. Each team comprises agents specialized in finance, marketing, and operations. The goal is to simulate a strategic decision-making process within a company, where each team argues for a different approach to a common business challenge. Utilize the 'agensuite' package to orchestrate the debate, ensuring that each round of discussion involves turn-based interactions where each agent presents its viewpoint before moving on to the next agent. Key features include a user-friendly command-line interface (CLI) for initiating debates, displaying current arguments, and summarizing outcomes; automated argument generation based on predefined scenarios and roles; and real-time feedback mechanisms for evaluating the strength of arguments. The application should also allow users to customize debate topics and team configurations. Finally, integrate a summary feature at the end of the debate that provides insights into the strengths and weaknesses of each team's arguments, aiding in understanding various business strategies.