text-analyzer

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Analyze text content and produce statistics including word count, line count, character count, most frequent words, and readability metrics. Works on any plain text input provided inline or from a file path.

Data & Documents 426 stars 40 forks Updated today Apache-2.0

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Quality Score: 90/100

Stars 20%
88
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
72
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Text Analyzer Analyze text and produce structured statistics. ## Purpose Provide quick text analytics — word counts, line counts, character counts, top frequent words, average word length, and sentence count — for any plain-text input. ## Agent Instructions 1. Read this SKILL.md to understand capabilities. 2. Run `scripts/analyze_text.py` with the appropriate arguments. 3. Return the analysis results to the user. ## Examples ### Usage ```bash # Analyze inline text python scripts/analyze_text.py --text "Your text content here" # Analyze a file python scripts/analyze_text.py --file /path/to/file.txt # JSON output (default is human-readable) python scripts/analyze_text.py --text "Hello world" --json ``` ### Output The script prints a structured report with: - **Word count** — total words - **Line count** — total lines - **Character count** — total characters (including whitespace) - **Sentence count** — estimated sentence count - **Average word length** — mean characters per word - **Top 5 words** — most frequent words and their counts ## Limitations - Sentence detection uses simple period/question/exclamation splitting; may be inaccurate for abbreviations (e.g., "U.S.A."). - Non-UTF-8 files will be read with errors replaced. ## Troubleshooting | Problem | Fix | |---------|-----| | `FileNotFoundError` | Check the `--file` path exists | | Empty output | Ensure `--text` or `--file` is provided |

Details

Author
NVIDIA
Repository
NVIDIA/SkillEvaluator
Created
2 months ago
Last Updated
today
Language
Python
License
Apache-2.0

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