parcadei

tldr-stats

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266
# Install this skill:
npx skills add parcadei/Continuous-Claude-v3 --skill "tldr-stats"

Install specific skill from multi-skill repository

# Description

Show full session token usage, costs, TLDR savings, and hook activity

# SKILL.md


name: tldr-stats
description: Show full session token usage, costs, TLDR savings, and hook activity


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
  1. 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

Metric What it means
You've spent Actual $ spent on Claude API this session
You sent / Without TLDR Actual tokens vs what it would have been
TLDR saved you Money saved by compressing file reads
File reads X → Y Raw file tokens compressed to TLDR summary
Cache hits How often TLDR reuses parsed file results
History sparkline Compression % over recent sessions (█ = high)

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

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.