AI Analysis
The package has minimal risks associated with network calls and shell executions. While there is some obfuscation and unusual metadata, these do not strongly indicate malicious activity.
- No network calls detected.
- Shell execution marked safe.
- Some obfuscation observed but not indicative of malicious behavior.
Per-check LLM notes
- Network: No network calls detected, which is normal and not indicative of any risk.
- Shell: Shell execution detected but marked safe with 'nosec' comment, suggesting it's intentional and controlled behavior.
- Obfuscation: The obfuscation pattern observed is not typical of malicious activity but could be an attempt to obscure code logic.
- Credentials: No credentials or secrets harvesting patterns detected in the provided snippet.
- Metadata: The package shows some red flags such as an anonymous author and low activity in the repository, but there's no clear evidence of typosquatting or malicious intent.
Package Quality Overall: Medium (5.6/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Detailed PyPI description (6470 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project97 type-annotated function signatures detected in source
Active multi-contributor project
3 unique contributor(s) across 42 commits in thinkneverland/assay-pdfSmall but multi-author team (3–4 contributors)
Heuristic Checks
No suspicious network call patterns found
Found 1 obfuscation pattern(s)
ds"), "tool_version": __import__("assay_pdf").__version__, "engines": engines, "reports":
Found 2 shell execution pattern(s)
TH" try: result = subprocess.run( # nosec B603 — shell=False, args from internal code onlytry: result = subprocess.run( # nosec B603 — shell=False, args from internal code only
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: quincy.codes>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Develop a comprehensive PDF Preflight Utility using the 'assay-pdf' package. This utility will serve as a tool to ensure PDF files comply with the GWG 2022 standards, which are essential for print production workflows. Your task is to create a user-friendly interface where users can upload their PDF files and receive a detailed report on the compliance status of their documents. ### Key Features: - **Upload Functionality:** Allow users to upload their PDF files via a simple drag-and-drop interface or file selection dialog. - **Compliance Check:** Utilize the 'assay-pdf' package to run a series of tests on the uploaded PDFs against the GWG 2022 standards. - **Detailed Report Generation:** After the tests, generate a comprehensive report detailing each test result, including pass/fail statuses and any specific issues found. - **User-Friendly Interface:** Design the UI/UX to be intuitive, ensuring ease of use for both technical and non-technical users. - **Export Options:** Provide options for users to export the compliance report in various formats like PDF, CSV, or HTML. - **Error Handling & Feedback:** Implement robust error handling to manage invalid uploads and provide meaningful feedback to users. ### Utilization of 'assay-pdf': - Integrate the 'assay-pdf' package to perform the actual conformance checks on the uploaded PDF files. Ensure that the utility leverages the package's capabilities to cover all aspects of the GWG 2022 standards. - Use the package's output to populate the detailed compliance reports generated for each uploaded document. This project aims to streamline the process of checking PDF files for print production compliance, making it accessible and efficient for a wide range of users.
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