🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks due to potential network and shell execution activities. While there's no strong evidence of malicious intent, the package's behavior warrants caution and further scrutiny.

network communication with external services
execution of shell commands

Per-check LLM notes

Network: The network call pattern suggests the package might be communicating with an external service, which could be legitimate but requires further investigation to confirm its purpose and destination.
Shell: Executing shell commands can be risky as it allows the package to run arbitrary code on the system, potentially leading to security vulnerabilities or malicious activities.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: Suspicious non-HTTPS links and lack of a GitHub repository indicate potential risks, but no clear signs of malicious intent.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 7 test file(s) found

7 test file(s) detected (e.g. integration_test.py)

◈ Medium Documentation 7.0

Some documentation present

1 documentation file(s) (e.g. conf.py)
Detailed PyPI description (2978 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

53 type-annotated function signatures detected in source

○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

submit_job_response = requests.post( url=self.config.transfer_endpoint, json=post_re

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

: %s", cmd) subproc = subprocess.run( cmd, check=False, stderr=subprocess.PIPE, stdou

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

⚠ Suspicious Page Links score 4.0

Found 2 suspicious link(s) on the package page

Non-HTTPS external link: http://eng-logtools:8080/?channel_filter=watchdog&hide=location,count
Non-HTTPS external link: http://eng-tools/grafana/d/de377sfsa9fcwf/watchdog-service-logs?var-acquisition_

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Allen Institute for Neural Dynamics" 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 aind-watchdog-service

Create a Python-based file monitoring utility named 'FileGuardian' using the 'aind-watchdog-service' package. This utility will serve as a watchdog over specific directories on your local machine, alerting you whenever any changes occur within those directories. Your task is to design a fully-functional mini-app that includes the following features:

1. **Directory Monitoring**: The app should allow users to specify one or more directories to monitor for changes.
2. **Event Notification**: Whenever a change is detected (file creation, deletion, modification), the app should notify the user via console output or logging.
3. **Configuration File**: Users should be able to configure which events they want to track (e.g., only modifications, or all events including creations and deletions).
4. **Real-time Updates**: Ensure that the app provides real-time updates about file changes without requiring manual intervention.
5. **Error Handling**: Implement robust error handling to manage potential issues such as permission errors when accessing directories.
6. **User Interface**: Although the primary functionality will be command-line based, consider adding a simple text-based menu system for ease of use.
7. **Logging**: All activities and errors should be logged into a dedicated log file for future reference and troubleshooting.

To achieve these functionalities, utilize the 'aind-watchdog-service' package effectively. Start by installing the package if it's not already installed, then import its necessary modules to set up event handlers and monitors. Customize the event handlers to fit the requirements mentioned above. Additionally, explore the documentation of 'aind-watchdog-service' to discover any advanced features that could enhance your application's performance or usability.