Tldr Stats

TLDR Stats Skill

Show a beautiful dashboard with token usage, actual API costs, TLDR savings, and hook activity.

When to Use

• See how much TLDR is saving you in real $ terms
• Check total session token usage and costs
• Before/after comparisons of TLDR effectiveness
• Debug whether TLDR/hooks are being used
• See which model is being used

Instructions

IMPORTANT: Run the script AND display the output to the user.

1. Run the stats script:

python3 $CLAUDE_PROJECT_DIR/.claude/scripts/tldr_stats.py

2. Copy the full output into your response so the user sees the dashboard directly in the chat. Do not just run the command silently - the user wants to see the stats.

Sample Output

╔══════════════════════════════════════════════════════════════╗║  📊 Session Stats                                            ║╚══════════════════════════════════════════════════════════════╝
  You've spent  $96.52  this session
  Tokens Used        1.2M sent to Claude      416.3K received back       97.8K from prompt cache (8% reused)
  TLDR Savings
    You sent:               1.2M    Without TLDR:           2.5M
    💰 TLDR saved you ~$18.83    (Without TLDR: $115.35 → With TLDR: $96.52)
    File reads: 1.3M → 20.9K █████████░ 98% smaller
  TLDR Cache    Re-reading the same file? TLDR remembers it.    █████░░░░░░░░░░ 37% cache hits    (35 reused / 60 parsed fresh)
  Hooks: 553 calls (✓ all ok)  History: █▃▄ ▇▃▇▆ avg 84% compression  Daemon: 24m up │ 3 sessions

Understanding the Numbers

Visual Elements

• Progress bars show savings and cache efficiency at a glance
• Sparklines show historical trends (█ = high savings, ▁ = low)
• Colors indicate status (green = good, yellow = moderate, red = concern)
• Emojis distinguish model types (🎭 Opus, 🎵 Sonnet, 🍃 Haiku)

Notes

• Token savings vary by file size (big files = more savings)
• Cache hit rate starts low, increases as you re-read files
• Cost estimates use: Opus $15/1M, Sonnet $3/1M, Haiku $0.25/1M
• Stats update in real-time as you work