tldr-stats
Show full session token usage, costs, TLDR savings, and hook activity
npx skills add parcadei/Continuous-Claude-v3 --skill tldr-stats --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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: ```bash 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 re
- When to Use
- Instructions
- Sample Output
- Understanding the Numbers
- Visual Elements
- Notes
python3 $CLAUDE_PROJECT_DIR/.claude/scripts/tldr_stats.py
What does the tldr-stats skill do?
Show full session token usage, costs, TLDR savings, and hook activity
How do I install it?
Run `npx skills add parcadei/Continuous-Claude-v3 --skill tldr-stats --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From parcadei/Continuous-Claude-v3, a repository with 3,885 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.