🤖 AI Analysis

Final verdict: SAFE

The package shows low risk indicators across all categories with no signs of malicious activities. It has a minimal shell risk which seems benign.

No network calls detected.
Low shell execution risk, likely benign.
No obfuscation or credential risks detected.

Per-check LLM notes

Network: No network calls detected, which is normal and not indicative of malicious activity.
Shell: Shell execution patterns observed are likely benign, possibly for version checks or git operations within the package.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, suggesting secure handling of sensitive information.
Metadata: The package appears to be new with limited history and single author involvement, but no clear signs of malicious intent.

🔬 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)

.get('PATH', '')}" proc = subprocess.run([exe, "--version"], capture_output=True, text=True, env=env)
.now(timezone.utc) proc = subprocess.run(command, cwd=repo_root(), capture_output=True, text=True, en
.now(timezone.utc) proc = subprocess.run(cmd, cwd=REPO_ROOT, capture_output=True, text=True) end
tr) -> str | None: proc = subprocess.run(["git", *args], cwd=REPO_ROOT, capture_output=True, text=Tru
n() -> str | None: proc = subprocess.run(["swmm5", "--version"], cwd=REPO_ROOT, capture_output=True,
args: list[str]) -> None: subprocess.run(args, cwd=REPO_ROOT, check=True) def ensure_source_inp() -

✓ 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

Repository Zhonghao1995/agentic-swmm-workflow appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "Zhonghao Zhang, Caterina Valeo" 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 agentic-swmm-workflow

Create a mini-application named 'SWMMWorkflowAnalyzer' that leverages the 'agentic-swmm-workflow' package to analyze and visualize data from Storm Water Management Model (SWMM) simulations. This tool should allow users to input their SWMM model files (.inp), run simulations using predefined or custom scenarios, and generate comprehensive reports and visualizations of the simulation results. The application should include the following key features:

1. **Scenario Management**: Users should be able to define different simulation scenarios, such as varying rainfall intensity, land use changes, or infrastructure modifications.
2. **Simulation Execution**: The app must execute SWMM simulations based on the selected scenarios, utilizing the 'agentic-swmm-workflow' package for reproducibility and auditability.
3. **Result Visualization**: After running simulations, the tool should automatically generate charts and graphs showing key metrics like runoff volume, peak flow rates, and pollutant loads over time.
4. **Report Generation**: Automatically create detailed PDF reports summarizing the simulation results, including statistical analyses and comparisons between different scenarios.
5. **User Interface**: Develop a simple, intuitive web interface using Flask or a similar lightweight framework, allowing users to upload SWMM models, select or configure scenarios, run simulations, and view results.
6. **Integration with External Data Sources**: Optionally, integrate the ability to import external data (e.g., weather data) to enhance the realism of simulations.
7. **Audit Log**: Maintain a log of all simulation runs, parameters used, and outcomes, ensuring that the workflow is fully traceable and reproducible.

Your task is to outline the development process, specifying how each feature will utilize the functionalities provided by the 'agentic-swmm-workflow' package. Additionally, provide sample code snippets demonstrating how to interact with the package within your application.