Content Readability Analyzer
Scores content using Flesch-Kincaid, Gunning Fog, and SMOG readability indices via textstat Python library. Provides sentence-level rewrite suggestions using OpenAI GPT-4o API.
What it does
Content Readability Analyzer
Scores content using Flesch-Kincaid, Gunning Fog, and SMOG readability indices via textstat Python library. Provides sentence-level rewrite suggestions using OpenAI GPT-4o API.
Installation
Use the upstream install or setup path that matches your environment:
- pip install textstat
- git clone https://github.com/textstat/textstat.git
- pip install .
- $ git clone https://github.com/<yourname>/textstat.git # Clone the repo from your fork
Requirements and caveats from upstream:
- python
- You can install textstat either via the Python Package Index (PyPI) or from source.
- Download the latest version of textstat from http://pypi.python.org/pypi/textstat/
Basic usage or getting-started notes:
-
import textstat
-
test_data = (
-
"Playing games has always been thought to be important to "
-
Extracted from upstream docs: https://raw.githubusercontent.com/textstat/textstat/HEAD/README.md
Source
Capabilities
Install
Quality
deterministic score 0.45 from registry signals: · indexed on github topic:agent-skills · 8 github stars · SKILL.md body (1,098 chars)