القائمة
Count words, characters, and estimate GPT tokens with readability. Use when tracking length, checking budgets, comparing complexity.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
استنادا إلى تصنيف SOC المهني
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/bytesagain/ai-skills --skill tokencountيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
عرض SKILL.md
Build BI dashboard specs, chart plans, SQL queries, and Apache Superset chart JSON. Use when creating dashboards, BI reports, KPI charts, or visualization layouts.
Localize product listings across English and Chinese ecommerce channels. Use when adapting Amazon, Shopify, Taobao, Pinduoduo, TK, or independent-site copy.
Optimize ecommerce keywords and product copy. Use when building keyword maps, rewriting titles, improving category text, auditing listings, or planning search terms.
| name | TokenCount |
| description | Count words, characters, and estimate GPT tokens with readability. Use when tracking length, checking budgets, comparing complexity. |
| version | 3.0.0 |
| author | BytesAgain |
| homepage | https://bytesagain.com |
| source | https://github.com/bytesagain/ai-skills |
| tags | ["token","word","count","text","nlp","ai","gpt"] |
| categories | ["Developer Tools","Utility"] |
A real text and token counter for the terminal. Count words, lines, characters, and sentences. Estimate LLM token usage with cost projections. Analyze word frequency and compare files side by side.
| Command | Description |
|---|---|
tokencount count <file|text> | Count words, lines, characters, sentences, paragraphs, avg word length, and reading time. Works with files or inline text |
tokencount tokens <file> | Estimate LLM token count using 3 methods (chars÷4, words×1.33, bytes÷3.5), shows cost estimates for GPT-4 class models and context window usage bars |
tokencount freq <file> | Full word frequency analysis — ranked table with counts, percentages, bar chart, and vocabulary richness score |
tokencount top <file> [n] | Show top N most common words (default: 20) |
tokencount diff <file1> <file2> | Compare two files — side-by-side word/line/char/token counts, unique words in each, common vocabulary |
wc, awk, sort, tr, grep, comm# Count everything in a file
tokencount count README.md
# Count inline text
tokencount count "Hello world, this is a test."
# Estimate tokens and costs
tokencount tokens article.txt
# Word frequency analysis
tokencount freq novel.txt
# Top 10 words
tokencount top essay.txt 10
# Compare two drafts
tokencount diff draft-v1.txt draft-v2.txt