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cost-tracking

affaan-m/everything-claude-code

Track Claude Code token usage, spending, and budgets from local metrics logs.

What is cost-tracking?

Analyzes cumulative session costs stored in ~/.claude/metrics/costs.jsonl to report spending by model, date, and session. Use when users ask about token usage, costs, budgets, or spending breakdowns.

  • Read and parse the JSONL cost metrics log written by ECC's stop:cost-tracker hook
  • Deduplicate cumulative session snapshots to calculate accurate total spend
  • Generate cost summaries by model, date, and session
  • Export cost data in structured formats for analysis
  • Verify log existence before attempting to read cost data

How to install cost-tracking

npx skills add https://github.com/affaan-m/everything-claude-code --skill cost-tracking
Prerequisites
  • ECC (everything-claude-code) installed and configured
  • stop:cost-tracker hook enabled in Claude Code
  • At least one completed session to populate the metrics log
Claude Code
Cursor
Windsurf
Cline

How to use cost-tracking

  1. 1.Verify the cost log exists at ~/.claude/metrics/costs.jsonl using the provided node check
  2. 2.Parse the JSONL file and deduplicate by session_id to get the latest snapshot per session
  3. 3.Sum estimated_cost_usd across deduplicated sessions for total spend
  4. 4.Group by model field to show cost breakdown by model
  5. 5.Format currency amounts with appropriate decimal places and present alongside session counts

Use cases

Good for
  • User asks 'how much have I spent?' or 'what did this session cost?'
  • Generate cost breakdown by model to identify expensive models
  • Report today's spend vs. yesterday and total across all sessions
  • Export session-level cost data to CSV for budgeting or accounting
  • Check if cost tracking is enabled and data is being collected
Who it's for
  • Claude Code users monitoring API spending
  • Teams tracking token usage across multiple sessions
  • Users managing or enforcing cost budgets
  • Developers optimizing model selection based on cost

cost-tracking FAQ

Why shouldn't I sum every row in the costs.jsonl file?

Each row is a cumulative snapshot for that session. Summing all rows multiply-counts sessions. Instead, deduplicate by session_id and take only the latest row per session before summing.

Should I calculate costs from raw token counts or use estimated_cost_usd?

Always prefer estimated_cost_usd. Model and cache prices change over time, and the tracker is the authoritative source of truth for costs.

What if the cost log doesn't exist?

Cost tracking populates only after the first session ends with the stop:cost-tracker hook enabled. Do not fabricate usage data; inform the user to complete a session first.

How do I export cost data to CSV?

Iterate the deduplicated latest-per-session set and print the fields you need (session_id, model, input_tokens, output_tokens, estimated_cost_usd, timestamp) in CSV format.

What fields are most important for cost reporting?

Focus on estimated_cost_usd, model, session_id, timestamp, and session count. Include today vs. yesterday comparisons and by-model breakdowns for actionable insights.

Full instructions (SKILL.md)

Source of truth, from affaan-m/everything-claude-code.


name: cost-tracking description: Track and report Claude Code token usage, spending, and budgets from the local ECC cost-tracker metrics log. Use when the user asks about costs, spending, usage, tokens, budgets, or cost breakdowns by model, session, or date. metadata: origin: community

Cost Tracking

Use this skill to analyze Claude Code cost and usage history from the metrics log that ECC's stop:cost-tracker hook writes.

Where the data lives

The tracker appends one JSON object per session-stop to ~/.claude/metrics/costs.jsonl. Each row is a cumulative snapshot for that session, so to total spend you take the latest row per session_id and sum across sessions — summing every row multiply-counts.

Row schema:

FieldMeaning
timestampISO timestamp of the snapshot
session_idClaude Code session identifier
transcript_pathPath to the session transcript
modelModel used
input_tokens / output_tokensToken counts
cache_write_tokens / cache_read_tokensPrompt-cache token counts
estimated_cost_usdPrecomputed cumulative cost in USD for the session

Prefer estimated_cost_usd over hand-calculating pricing — model and cache prices change, and the tracker is the source of truth.

When to Use

  • The user asks "how much have I spent?", "what did this session cost?", or "what is my token usage?"
  • The user mentions budgets, spending limits, overruns, or cost controls.
  • The user wants a cost breakdown by model, session, or date, or a CSV export.

How It Works

First verify the log exists (use node, not sqlite3 — the tracker writes JSONL, and node is cross-platform):

node -e 'const fs=require("fs"),os=require("os"),p=require("path");const f=p.join(os.homedir(),".claude","metrics","costs.jsonl");console.log(fs.existsSync(f)?"cost log found":"cost log not found: "+f)'

If the log is missing, do not fabricate usage data. Tell the user that cost tracking populates after the first session ends with the stop:cost-tracker hook enabled.

Example — summary, by model, last 7 days

node -e '
const fs=require("fs"),os=require("os"),path=require("path");
const f=path.join(os.homedir(),".claude","metrics","costs.jsonl");
if(!fs.existsSync(f)){console.log("cost log not found: "+f);process.exit(0);}
const rows=fs.readFileSync(f,"utf8").split(/\r?\n/).filter(Boolean).map(l=>{try{return JSON.parse(l)}catch{return null}}).filter(Boolean);
const bySession=new Map();
for(const r of rows){const k=r.session_id||r.transcript_path||r.timestamp;const p=bySession.get(k);if(!p||String(r.timestamp)>String(p.timestamp))bySession.set(k,r);}
const latest=[...bySession.values()];
const cost=r=>Number(r.estimated_cost_usd)||0, day=r=>String(r.timestamp||"").slice(0,10), sum=a=>a.reduce((s,r)=>s+cost(r),0), f4=n=>"$"+n.toFixed(4);
const today=new Date().toISOString().slice(0,10), yest=new Date(Date.now()-864e5).toISOString().slice(0,10);
console.log("today: "+f4(sum(latest.filter(r=>day(r)===today)))+" | yesterday: "+f4(sum(latest.filter(r=>day(r)===yest)))+" | total: "+f4(sum(latest))+" ("+latest.length+" sessions)");
const m=new Map();for(const r of latest){const k=r.model||"(unknown)";m.set(k,(m.get(k)||0)+cost(r));}
console.log("by model:");[...m.entries()].sort((a,b)=>b[1]-a[1]).forEach(([k,v])=>console.log("  "+f4(v)+"  "+k));
'

For a session drilldown or CSV export, iterate the same latest set (or the raw rows for CSV) and print the fields you need.

Reporting Guidance

When presenting cost data, include today's spend vs yesterday, total across all sessions, a by-model breakdown, and session count. Format sub-dollar amounts with four decimals, larger amounts with two.

Anti-Patterns

  • Do not sum every row — they are cumulative per session; reduce to the latest row per session_id first.
  • Do not estimate costs from raw token counts when estimated_cost_usd is present.
  • Do not assume the log exists without checking.
  • Do not hard-code current model pricing in user-facing answers.
  • Do not recommend installing unreviewed hooks or plugins that execute arbitrary code.

Related

  • /cost-report - Command-form report over the same metrics log.
  • cost-aware-llm-pipeline - Model-routing and budget-design patterns.
  • token-budget-advisor - Context and token-budget planning.
  • strategic-compact - Context compaction to reduce repeated token spend.