🤖 AI Analysis

Final verdict: SAFE

The package shows low risk across all categories, with no indications of malicious intent or unusual behavior. The obfuscation risk is slightly elevated but still within safe parameters.

Low network and shell risks
No detected credential harvesting
Author has only one package

Per-check LLM notes

Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity for a data source connector like Google Ads.
Shell: No shell executions detected, which aligns with the expected behavior for a data source connector.
Obfuscation: The observed pattern seems to be part of normal Python logic for conditional attribute evaluation and does not indicate malicious obfuscation.
Credentials: No credential harvesting patterns detected in the provided snippet.
Metadata: The author has only one package, which may indicate a new or less active user, but no other suspicious activities are detected.

📦 Package Quality Overall: Medium (5.0/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://docs.airbyte.com/integrations/sources/google-ads
Brief PyPI description (462 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

106 type-annotated function signatures detected in source

✦ High Multiple Contributors 10.0

Active multi-contributor project

14 unique contributor(s) across 100 commits in airbytehq/airbyte
Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

or_field = self._cursor_field.eval(self.config) if self._cursor_field else None if curs

✓ 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: airbyte.io

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository airbytehq/airbyte appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Airbyte" 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 airbyte-source-google-ads

Create a comprehensive mini-application named 'AdInsight' that leverages the 'airbyte-source-google-ads' package to provide insightful analytics and management tools for Google Ads campaigns. AdInsight should serve as a user-friendly dashboard where users can monitor their ad performance, manage budgets, and analyze key metrics such as click-through rates, conversion rates, and cost-per-click. Here’s a detailed breakdown of what your application should include:

1. **User Authentication**: Implement OAuth2 authentication to securely connect users’ Google Ads accounts.
2. **Dashboard Overview**: Display a summary of key performance indicators (KPIs) such as total spend, clicks, impressions, and conversions over different time periods.
3. **Campaign Management**: Allow users to view, pause, enable, and delete campaigns directly from the dashboard.
4. **Budget Management**: Provide tools for setting and adjusting daily budgets for each campaign.
5. **Advanced Analytics**: Offer detailed reports and visualizations based on the data pulled from Google Ads using the 'airbyte-source-google-ads' package. This includes time-series analysis, trend detection, and comparison between different campaigns.
6. **Notifications & Alerts**: Set up automated notifications when certain thresholds are met, such as exceeding budget limits or significant drops in performance.
7. **Custom Reports**: Enable users to generate custom reports based on specific criteria, which can then be exported in various formats like CSV or PDF.
8. **Integration Capabilities**: Ensure the application integrates seamlessly with other marketing tools through APIs or webhooks.

To utilize the 'airbyte-source-google-ads' package, you will need to configure it to authenticate with Google Ads API, pull relevant data periodically, and store this data in a database or data warehouse for further processing and visualization. Consider using additional Python libraries such as pandas for data manipulation, matplotlib or seaborn for data visualization, and Flask or Django for building the web interface. Your final product should not only showcase the capabilities of 'airbyte-source-google-ads' but also offer practical value to digital marketers managing multiple Google Ads campaigns.