archledger

v0.2.0 safe
3.0
Low Risk

Source-first arc42 architecture documentation from Markdown and AsciiDoc records

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks across various categories with no direct evidence of malicious activities. The primary concern is the metadata risk due to low activity and a new maintainer account, but this does not strongly indicate malicious intent.

  • Low network and obfuscation risks
  • Moderate shell execution risk, likely for benign purposes
  • No credential harvesting detected
  • Metadata risk due to low activity and new maintainer account
Per-check LLM notes
  • Network: No network calls detected, indicating low risk.
  • Shell: Shell executions appear to be related to tooling and asset conversion, suggesting moderate risk but likely benign purposes.
  • Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of sensitive information.
  • Metadata: The low activity and new maintainer account suggest potential risk, but there's no clear evidence of malicious intent.

📦 Package Quality Overall: Medium (7.0/10)

✦ High Test Suite 9.0

Test suite present — 18 test file(s) found

  • Test runner config found: pyproject.toml
  • 18 test file(s) detected (e.g. test_build.py)
◈ Medium Documentation 7.0

Some documentation present

  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (18611 chars)
◈ Medium Contributing Guide 7.0

Some contribution signals present

  • Separate author ("Archledger Contributors") and maintainer ("Holger Nahrstaedt") listed
  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 584 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 46 commits in holgern/archledger
  • Single author but highly active (46 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 8.0

Found 4 shell execution pattern(s)

  • Format) -> None: result = subprocess.run( command, check=False, capture_outpu
  • esolver, "mmdc") result = subprocess.run( [mmdc, "-i", str(source_path), "-o", str(asset_path
  • wn.", ) result = subprocess.run( [pandoc, "-f", "markdown", "-t", "asciidoc"],
  • urce tracking.") result = subprocess.run( [ "git", "-C",
✓ 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 score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Archledger Contributors" 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 archledger 
Create a Python-based mini-application named 'ArchDocGen' that leverages the 'archledger' package to automate the generation of arc42-compliant architecture documentation directly from source code comments written in Markdown and AsciiDoc formats. This tool will serve as a bridge between developers and technical writers, ensuring that the architectural design of a software system is accurately documented and up-to-date.

### Features:
1. **Source Code Parsing:** Integrate 'archledger' to parse source code files for comments in Markdown and AsciiDoc formats, extracting relevant information about the system's architecture.
2. **Automated Documentation Generation:** Use the parsed data to automatically generate comprehensive arc42 architecture documents. These documents should follow the standard arc42 structure and format.
3. **Customization Options:** Allow users to customize the output document by specifying different sections of arc42 they want to include or exclude.
4. **Integration with Version Control Systems:** Enable the application to work seamlessly with popular version control systems like Git, allowing it to pull the latest codebase and generate documentation based on that.
5. **User Interface:** Develop a simple command-line interface for interacting with the application. Users should be able to specify input directories, customization options, and output file paths through this interface.
6. **Output Formats:** Provide options to export the generated documentation in multiple formats such as PDF, HTML, and plain text.

### Utilizing 'archledger':
- **Installation:** Ensure 'archledger' is installed as part of the application setup process.
- **Usage:** Within your application, call 'archledger' functions to scan and interpret source code comments. These functions should be able to handle both Markdown and AsciiDoc comment styles.
- **Integration Points:** Design specific integration points where 'archledger' can be invoked to process comments, and where the resulting data can be formatted into the final arc42 document structure.

Your task is to outline the architecture of 'ArchDocGen', including its main components and their interactions, and then implement the key functionalities described above. Pay special attention to how you integrate 'archledger' into your workflow to ensure efficient and accurate documentation generation.

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