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:

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.