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codeburn-claude-cost-dashboardcodeburn Claude cost dashboard 搜索

Agent Skill

codeburn-claude-cost-dashboard 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,939

周安装

210

GitHub Stars

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下载量

1,730
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:codeburn-claude-cost-dashboard(codeburn Claude cost dashboard 搜索)
来源仓库:https://github.com/aradotso/trending-skills
仓库路径:skills/codeburn-claude-cost-dashboard
安装命令:
npx skills add https://github.com/aradotso/trending-skills --skill codeburn-claude-cost-dashboard
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/aradotso/trending-skills --skill codeburn-claude-cost-dashboard

简介

codeburn-claude-cost-dashboard 是本地运行的 TUI 仪表板,可视化 Claude Code 会话成本。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中需要监控 token 使用和费用支出时使用。
  • 直接从磁盘读取会话记录,按项目、模型、活动类型等维度分析使用情况。
  • 安装前需确认 Node.js 20+ 环境和 Claude Code 的安装位置,数据存储在 ~/.claude/projects/。
  • 提供交互式界面查看最近7天或自定义时间段的使用统计和成本 breakdown。

SKILL.md

CodeBurn

Skill by ara.so — Daily 2026 Skills collection.

CodeBurn is an interactive TUI dashboard that reads Claude Code session transcripts directly from disk (~/.claude/projects/) and visualizes token usage, costs, and task breakdowns by project, model, activity type, MCP server, and tool. No API keys, no proxy — pure local file analysis.

Install

npm install -g codeburn
# or run without installing
npx codeburn

Requirements: Node.js 20+, Claude Code installed (session data at ~/.claude/projects/)

Key Commands

# Interactive TUI dashboard (default: last 7 days)
codeburn

# Time period shortcuts
codeburn today
codeburn month
codeburn report -p month      # explicit period flag

# Compact one-liner summary
codeburn status
codeburn status --format json

# Export data
codeburn export               # CSV: today, 7d, 30d
codeburn export -f json       # JSON export

# macOS menu bar widget (requires SwiftBar)
codeburn install-menubar
codeburn uninstall-menubar

TUI Keyboard Navigation

KeyAction
arrow keysSwitch between Today / 7 Days / Month
1 2 3Period shortcuts
qQuit

What CodeBurn Tracks

13 Task Categories (deterministic, no LLM calls)

CategoryTrigger Pattern
CodingEdit, Write tools
DebuggingError/fix keywords + tool usage
Feature Dev"add", "create", "implement" keywords
Refactoring"refactor", "rename", "simplify"
Testingpytest, vitest, jest in Bash
ExplorationRead, Grep, WebSearch without edits
PlanningEnterPlanMode, TaskCreate tools
DelegationAgent tool spawns
Git Opsgit push/commit/merge in Bash
Build/Deploynpm build, docker, pm2
Brainstorming"brainstorm", "what if", "design"
ConversationNo tools, pure text exchange
GeneralSkill tool, uncategorized

One-Shot Rate

For edit-heavy categories, CodeBurn detects Edit → Bash → Edit retry cycles. The 1-shot rate shows what percentage of edit turns succeeded without retries. 90% means the AI got it right first try 9/10 times.

Pricing

Fetched from LiteLLM model prices, auto-cached 24h at ~/.cache/codeburn/. Covers input, output, cache write, cache read, and web search costs. Falls back to hardcoded prices if fetch fails.

Data Source

Claude Code stores session transcripts as JSONL:

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

Each assistant entry contains: model name, token usage (input/output/cache_read/cache_write), tool_use blocks, timestamps. CodeBurn deduplicates by API message ID to prevent double-counting across sessions.

macOS Menu Bar Setup

# 1. Install SwiftBar
brew install --cask swiftbar

# 2. Install the CodeBurn plugin
codeburn install-menubar

# 3. Launch SwiftBar — CodeBurn flame icon appears in menu bar
# Refreshes every 5 minutes, shows today's cost + breakdown dropdown

To remove:

codeburn uninstall-menubar

Export Examples

# Export CSV (three sheets: today, 7d, 30d)
codeburn export
# Output: codeburn-export-2026-04-14.csv

# Export JSON
codeburn export -f json
# Output: codeburn-export-2026-04-14.json

JSON Export Structure

{
  "exported_at": "2026-04-14T10:00:00Z",
  "periods": {
    "today": {
      "total_cost": 1.42,
      "total_tokens": 284000,
      "by_project": { "my-app": 0.89, "other-project": 0.53 },
      "by_model": { "claude-sonnet-4-5": 1.10, "claude-opus-4-5": 0.32 },
      "by_activity": {
        "Coding": { "cost": 0.65, "turns": 34, "one_shot_rate": 0.88 },
        "Debugging": { "cost": 0.41, "turns": 18, "one_shot_rate": 0.72 }
      }
    },
    "7d": { ... },
    "30d": { ... }
  }
}

Project Structure

src/
  cli.ts          # Commander.js entry point
  dashboard.tsx   # Ink TUI (React for terminals)
  parser.ts       # JSONL reader, dedup, date filter
  models.ts       # LiteLLM pricing, cost calculation
  classifier.ts   # 13-category task classifier
  types.ts        # Type definitions
  format.ts       # Text rendering (status bar)
  menubar.ts      # SwiftBar plugin generator
  export.ts       # CSV/JSON multi-period export

Programmatic Usage (TypeScript)

If you want to integrate CodeBurn's parsing logic into your own scripts:

import { parseSessions } from 'codeburn/parser';
import { calculateCost } from 'codeburn/models';
import { classifyTurn } from 'codeburn/classifier';

// Parse all sessions for a date range
const sessions = await parseSessions({
  startDate: new Date('2026-04-01'),
  endDate: new Date('2026-04-14'),
});

// Sessions are deduplicated by API message ID
for (const turn of sessions.turns) {
  const category = classifyTurn(turn);
  const cost = await calculateCost(turn.model, turn.usage);
  console.log(`${category}: $${cost.toFixed(4)}`);
}
// Get a status summary programmatically
import { getStatus } from 'codeburn/format';

const status = await getStatus();
console.log(status);
// → "🔥 Today: $1.42 (284k tokens) | Month: $18.30 (3.6M tokens)"

// JSON format for scripting
const statusJson = await getStatus({ format: 'json' });
const data = JSON.parse(statusJson);
// { today: { cost: 1.42, tokens: 284000 }, month: { cost: 18.30, tokens: 3600000 } }

Common Patterns

Daily Cost Check in CI/Shell Scripts

#!/bin/bash
# Add to .zshrc or run in CI to log daily AI spend
SPEND=$(codeburn status --format json | jq '.today.cost')
echo "Today's Claude spend: \$$SPEND"

# Alert if over threshold
if (( $(echo "$SPEND > 5.00" | bc -l) )); then
  echo "⚠️  High AI spend today: \$$SPEND"
fi

Export and Analyze with jq

# Export JSON and analyze by model
codeburn export -f json | jq '.periods["7d"].by_model'

# Find most expensive project this month
codeburn export -f json | jq '
  .periods["30d"].by_project
  | to_entries
  | sort_by(-.value)
  | .[0]
'

Automate Weekly Reports

#!/bin/bash
# weekly-ai-report.sh — run via cron on Mondays
OUTPUT_DIR="$HOME/ai-cost-reports"
mkdir -p "$OUTPUT_DIR"

DATE=$(date +%Y-%m-%d)
codeburn export -f json > "$OUTPUT_DIR/week-$DATE.json"
codeburn status >> "$OUTPUT_DIR/history.log"
echo "[$DATE] Report saved to $OUTPUT_DIR/week-$DATE.json"

Troubleshooting

No data shown / "No sessions found"

# Verify Claude Code session files exist
ls ~/.claude/projects/

# Check a specific project's sessions
ls ~/.claude/projects/<project-name>/
# Should see *.jsonl files

# Confirm Node version is 20+
node --version

Pricing fetch fails / shows $0.00

# Clear the price cache and retry
rm -rf ~/.cache/codeburn/

# CodeBurn falls back to hardcoded prices automatically
# Run again — it will re-fetch from LiteLLM
codeburn today

Menu bar widget not updating

# Reinstall the plugin
codeburn uninstall-menubar
codeburn install-menubar

# Ensure SwiftBar is running and plugin directory is set
# SwiftBar → Preferences → Plugin folder should point to ~/Library/Application Support/SwiftBar/Plugins/

Double-counted costs

CodeBurn deduplicates by API message ID automatically. If you see unexpectedly high numbers, check for duplicate JSONL files:

# List all session files sorted by size
find ~/.claude/projects/ -name "*.jsonl" | xargs wc -l | sort -rn | head -20

TUI rendering issues

# Ensure terminal supports 256 colors
echo $TERM
# Should be xterm-256color or similar

# Force color mode
COLORTERM=truecolor codeburn

Related

  • ccusage — inspiration for this project
  • LiteLLM — model pricing data source
  • SwiftBar — macOS menu bar plugin host

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.12%
按下载量换算642

Claude

31.04%
按下载量换算537

Cursor

18.64%
按下载量换算322

Gemini CLI

11.11%
按下载量换算192

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/aradotso/trending-skills --skill codeburn-claude-cost-dashboard 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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