AI Analysis
Final verdict: SAFE
The package shows minimal risks across all categories with no network calls, shell executions, obfuscations, or credential harvesting attempts. The only slight concern is the metadata risk due to the author having only one package.
- Minimal network and shell risks
- No signs of obfuscation or credential harvesting
- Author has only one published package
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external API interactions.
- Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author has only one package, which may indicate a new or less active account, but no other red flags are present.
Package Quality Overall: Low (4.6/10)
○ 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://github.com/cliffano/awstagaDetailed PyPI description (8927 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
10 type-annotated function signatures detected in source
✦ High
Multiple Contributors
8.0
Active multi-contributor project
3 unique contributor(s) across 100 commits in cliffano/awstagaSmall but multi-author team (3–4 contributors)
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: gmail.com
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository cliffano/awstaga appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Cliffano Subagio" 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 awstaga
Create a Python-based mini-application called 'TagManager' that leverages the 'awstaga' package to manage AWS resource tags according to a YAML configuration file. This application should allow users to easily tag, update, and delete AWS resources like EC2 instances, S3 buckets, RDS databases, etc., using a simple command-line interface. The core functionalities of TagManager include: 1. **Initialization**: Allow users to initialize the application by specifying their AWS credentials (either through environment variables or a config file). Ensure that these credentials are securely stored and used only within the application. 2. **Configuration Management**: Provide a way for users to create, edit, and manage YAML configuration files that define which tags should be applied to which AWS resources. These configurations could include details such as tag key-value pairs, resource types, and conditions under which certain tags should be applied. 3. **Tagging Resources**: Implement a feature that allows users to apply the specified tags from the YAML configuration to one or more AWS resources based on user input or predefined rules. 4. **Updating Tags**: Enable users to update existing tags on AWS resources according to changes made in the YAML configuration file. This could involve adding new tags, removing old ones, or modifying existing tag values. 5. **Deleting Tags**: Offer functionality to remove tags from AWS resources either selectively or completely based on criteria defined in the YAML configuration. 6. **Reporting**: Include a reporting module that generates summaries of tagged resources, including which resources have been updated, added, or deleted since the last operation. 7. **Security Measures**: Ensure all interactions with AWS resources are secure, adhering to best practices such as limiting permissions and encrypting data transmissions. 8. **User Interface**: Develop a clean and intuitive command-line interface for interacting with TagManager, providing clear feedback and error messages where necessary. Utilize the 'awstaga' package to handle the low-level operations related to tagging AWS resources, allowing you to focus on building out the higher-level features of TagManager. Additionally, consider incorporating automated testing to ensure the reliability and correctness of your application.
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