skills/cost-tracking/SKILL.md
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.
npx skillsauth add affaan-m/everything-claude-code cost-trackingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use this skill to analyze Claude Code cost and usage history from the metrics log
that ECC's stop:cost-tracker hook writes.
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:
| Field | Meaning |
| --- | --- |
| timestamp | ISO timestamp of the snapshot |
| session_id | Claude Code session identifier |
| transcript_path | Path to the session transcript |
| model | Model used |
| input_tokens / output_tokens | Token counts |
| cache_write_tokens / cache_read_tokens | Prompt-cache token counts |
| estimated_cost_usd | Precomputed 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.
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.
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.
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.
session_id first.estimated_cost_usd is present./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.development
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