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Counts tokens in documentation to ensure compliance with AI context window limits. Reports token counts per page, identifies oversized content. Use when measuring documentation token counts for AEO compliance.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Comprehensive AEO audit for websites and documentation. Checks llms.txt, robots.txt, token counts, skill.md files, and AI traffic configuration. Use when auditing a site's readiness for AI agents.
AEO performance benchmarking across multiple URLs. Compares scores, tracks improvements over time, and generates benchmark reports. Use when comparing AEO performance between sites or tracking optimization progress.
LLM-first SEO analysis for AI agents. Master skill with 5 sub-skills, 6 specialist agents, and 5 evidence collector scripts. Use when performing comprehensive AEO analysis, audits, or optimization.
Detects AI coding agent traffic in server logs and analytics. Identifies Claude Code, Cursor, Cline, Aider, and other agent fingerprints. Use when analyzing AI agent access patterns to documentation.
Validates llms.txt files for AI agent discoverability. Checks structure, format, required fields, and best practices per ai-visibility.org.uk specification. Use when auditing or validating llms.txt files.
| name | token-counter |
| description | Counts tokens in documentation to ensure compliance with AI context window limits. Reports token counts per page, identifies oversized content. Use when measuring documentation token counts for AEO compliance. |
Counts tokens in documentation.
| Page Type | Recommended | Maximum |
|---|---|---|
| Quick Start | < 15,000 | 20,000 |
| API Reference | < 25,000 | 30,000 |
| Conceptual Guide | < 20,000 | 25,000 |
| llms.txt | < 5,000 | 10,000 |
# Count tokens in URL
python3 scripts/token_counter.py https://example.com/docs/quickstart
# Check against limits
python3 scripts/token_counter.py https://example.com/docs/api --check-limits
# JSON output
python3 scripts/token_counter.py https://example.com/docs --json