anicli_api

v0.9.1 safe
4.0
Medium Risk

Anime extractors api implementation

🤖 AI Analysis

Final verdict: SAFE

The package primarily serves to fetch anime-related data using REST APIs or web scraping methods. While there are some indications of obfuscation practices, the overall functionality does not strongly suggest malicious intent.

  • Moderate obfuscation techniques observed
  • No clear signs of network exploitation or credential theft
Per-check LLM notes
  • Network: The network calls appear to be part of the package's intended functionality for fetching anime-related data and may not indicate malicious activity.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: The use of base64 decoding and unquoting suggests some level of obfuscation, but it could also be used for legitimate purposes like handling encoded data.
  • Credentials: No direct evidence of credential harvesting is present.
  • Metadata: The author's information is incomplete and the account seems new or inactive, raising some suspicion but not definitive proof of malice.

📦 Package Quality Overall: Medium (6.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (10373 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 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 443 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 8 unique contributor(s) across 100 commits in vypivshiy/ani-cli-ru
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • aylist: anime_resp = httpx.get(anime_url) anime_page = PageAnime(anime_resp.text).
  • player_js_packed_response = httpx.get(player_js_url).text return extract_playlist(player_
  • okies) >>> import httpx >>> httpx.get("https://github.com", cookies=cookies) >>> # convert to net
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • return urllib.parse.unquote(base64.b64decode(s).decode()) def extract_playlist(player_js_packed_resp
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ 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

Repository vypivshiy/ani-cli-ru appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 anicli_api 
Create a command-line tool called 'AnimeSearcher' using Python and the 'anicli_api' package. This tool will allow users to search for anime episodes and download them directly from various streaming sites. Here’s how you’ll build it step-by-step:

1. **Setup**: Begin by installing the necessary packages including 'anicli_api'. Ensure your development environment is set up properly.
2. **Core Functionality**: Implement the main function that takes user input for the anime title and episode number. Use 'anicli_api' to fetch the relevant data.
3. **User Interface**: Design a simple but intuitive CLI interface where users can easily enter their search queries and view results.
4. **Search & Filter**: Enhance the app by adding filters such as sorting by quality, source site, or language options.
5. **Download Feature**: Integrate a feature that allows downloading of the selected anime episode directly to the user’s device. Handle exceptions gracefully to ensure a smooth user experience.
6. **Additional Features**: Consider adding extra functionalities like saving search history, suggesting similar anime titles, or even providing brief descriptions of each episode.
7. **Testing & Debugging**: Thoroughly test the application under different scenarios to ensure reliability and robustness.
8. **Documentation**: Write comprehensive documentation detailing how to install and use 'AnimeSearcher', including examples and best practices.
9. **Deployment**: Prepare the application for deployment. Make it available on platforms like PyPI for easy installation by other users.

Remember, the goal is to create a tool that not only works well but also provides a seamless user experience. Utilize 'anicli_api' effectively to make your application stand out.