Cost Tracking
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.
affaan-m on GitHub
Curated by PromptsEdge from a public repo · MIT license. All credit goes to the author.
What is this skill?
Use this skill to analyze Claude Code cost and usage history from the metrics log that ECC's stop:cost-tracker hook writes.
When to use
- The user asks "how much have I spent?", "what did this session cost?", or
- 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.
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.
ECC also maintains internal per-session files under
~/.claude/metrics/cost-snapshots/ so runtime hooks can read the current
session total without rescanning all history. Treat those files as a
rebuildable cache; each snapshot stores a byte cursor so only newly appended
rows are scanned. Stable reads are O(1), while updates are O(new bytes). Stale
entries are pruned after 30 days or when the directory exceeds 512 sessions.
Cold catch-up work is limited to 16 MiB per hook invocation, and malformed
unterminated rows larger than 1 MiB are discarded with a resumable cursor.
Reports and exports should continue to use costs.jsonl.
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.
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_idfirst. - Do not estimate costs from raw token counts when
estimated_cost_usdis 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.
Install this skill
- 1
Get the skill — it’s free
Use the Get this skill panel. Unlocked skills stay in My skills. - 2
Download or clone the files
Download the zip, or clone the repo and copy theskills/cost-trackingfolder. - 3
Put it where your agent looks for skills
For Claude Code, use your personal skills folder (every project) or a project’s own folder:~/.claude/skills/cost-tracking/SKILL.md # all projects .claude/skills/cost-tracking/SKILL.md # this project only
- 4
Just ask
No command needed. The agent reads the skill’s description and loads it on its own when your request matches.
SKILL.md frontmatter
What your agent reads to decide when to load this skill.
--- 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. ---
Files
This skill lives in a public GitHub repo. Browse the files on GitHub ↗
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