RoentekRoentek/Claude_Code_Boilerplate_Framework/.claude/skills/codeburn/SKILL.md

codeburn

Skill4 starsChanged 6 months agoMITView on GitHub

AI spend analytics — see where your token budget goes by task, model, tool, and project across 31 AI coding tools including Claude Code. Use when the user asks about AI costs, token usage, spend breakdown, or wants to optimize their AI budget.

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SKILL.md

CodeBurn — AI Spend Analytics

See where your AI spend goes — by task, model, tool, and project, across 31 AI tools (Claude Code, Codex, Cursor, Gemini CLI, Cline, and more).

When to Use

"How much am I spending on Claude Code?"
"Show me my token usage breakdown"
"Which tasks are costing the most?"
"Am I using the right model for the job?"
"Optimize my AI spend"
Any cost/budget/token-usage question about AI tools

Quick Start

# Interactive dashboard (last 7 days)
npx codeburn

# Or install globally (faster)
npm install -g codeburn
codeburn

Core Commands

# Dashboard views
codeburn              # Interactive TUI — last 7 days (default)
codeburn today        # Today's usage
codeburn month        # This calendar month

# One-liner status
codeburn status                   # Today + month totals
codeburn status --format json     # Same as JSON

# Reports
codeburn overview                             # Plain-text monthly summary
codeburn report -p 30days                     # Rolling 30-day window
codeburn report -p all                        # All recorded sessions
codeburn report --from 2026-04-01 --to 2026-04-30  # Date range
codeburn report --format json                 # Full data as JSON

# Export
codeburn export                  # CSV (today, 7d, 30d)
codeburn export -f json          # JSON export

# Analysis
codeburn optimize                # Scan for waste + copy-paste fixes (30d)
codeburn optimize -p week        # Scope to last 7 days
codeburn compare                 # Side-by-side model comparison

# Web dashboard with charts
codeburn web                     # http://localhost:4747

# Filter by provider or project
codeburn report --provider claude
codeburn report --project my-app

Task Categories (Auto-Classified)

Category	What triggers it
Coding	Edit, Write tools
Debugging	Error/fix keywords + tool usage
Feature Dev	"add", "create", "implement"
Refactoring	"refactor", "rename", "simplify"
Testing	pytest, vitest, jest in Bash
Exploration	Read, Grep, WebSearch without edits
Planning	EnterPlanMode, TaskCreate tools
Delegation	Agent tool spawns
Git Ops	git push/commit/merge in Bash
Build/Deploy	npm build, docker, pm2
Brainstorming	"brainstorm", "what if", "design"
Conversation	No tools, pure text exchange
General	Skill tool, uncategorized

Reading the Dashboard — Key Signals

Signal	What it might mean
Cache hit < 80%	System prompt or context not stable
Lots of `Read` calls per session	Agent re-reading same files, missing context
Low 1-shot rate (Coding 30%)	Agent struggling with edits, retry loops
Opus dominating cost on small turns	Overpowered model for simple tasks
Conversation category dominant	Agent talking instead of doing
No MCP usage shown	Either not using MCP, or config is broken

Claude Code Data Location

CodeBurn reads Claude Code session files from:

~/.claude/projects/<sanitized-path>/<session-id>.jsonl

Each session carries: model name, token usage (input/output/cache read/cache write), tool_use blocks, timestamps. No data leaves your machine.

Multiple Claude config dirs: set CLAUDE_CONFIG_DIRS (: on POSIX, ; on Windows).

Installation

Already installed in this project. On fresh clones, setup.sh installs via:

npm install -g codeburn

Verify:

codeburn --version

Upgrade

npm install -g codeburn@latest
# Or via /update-all skill

Source

https://github.com/getagentseal/codeburn

Download now (ZIP)

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