cost-tracking
Tracks how much money you spend on AI tools and shows you where your budget is going by project, tool, or date.
Installation
Paste this into Claude Code, Cursor, or any agent that can run commands.
What this skill does
What it does:
- Reads a database stored on your computer that tracks how much money you have spent using Claude Code
- Shows you daily costs, total spending, and which projects or tools cost the most
- Breaks down spending by project, tool, session, or date
- Compares today's costs with previous days
- Can export spending records to a spreadsheet
When to use it:
- You want to know how much money you have spent
- You need to check the cost of a specific project or tool
- You want to see if your spending is staying within budget
- You need to compare spending between different days or time periods
- You want to download a list of recent spending
SKILL.mdShow the author's original SKILL.md
---
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:
| 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.
## 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):
```bash
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
```bash
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.
Mirrored from the author's public source. Install counts from the open skills registry.