# cost-breakdown

This skill reports model and session costs, daily spending trends, and token efficiency. Use it to compare model pricing or plan a budget.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · ★ 1121
- Author: hoangsonww
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/HEAD/plugins/ccam-analytics/skills/cost-breakdown/SKILL.md
- Updated: 2026-10-23
- HTML: https://affpapa.org/en/nevibecode/skills/cost-breakdown

## What it does

The skill reads pricing, total costs, session costs, and daily statistics from Agent Monitor. Its Markdown report breaks spending down by model and session, lists the most expensive sessions, and reviews token efficiency. Currency is shown in USD to four decimal places.

Costs include input and output tokens, plus cache reads and writes. The report also examines baseline tokens preserved across compaction; without those baselines, earlier tokens could be lost when a transcript is rewritten. The report relies on Agent Monitor API data, so its figures depend on that data.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill cost-breakdown -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/cost-breakdown/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/cost-breakdown/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill cost-breakdown -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/cost-breakdown/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill cost-breakdown -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/cost-breakdown/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install hoangsonww/Claude-Code-Agent-Monitor cost-breakdown
```

2. **Manually: put the files in place**
- File: `.github/skills/cost-breakdown/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill cost-breakdown -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/hoangsonww/Claude-Code-Agent-Monitor --path plugins/ccam-analytics/skills/cost-breakdown
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/cost-breakdown/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill cost-breakdown -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/HEAD/plugins/ccam-analytics/skills/cost-breakdown/SKILL.md

## When to use it
- compare model costs by token type
- identify the most expensive sessions
- track daily spending trends
- review cache reads and tokens recovered from baselines
- spot sessions with costly models or frequent compaction

## Example prompts
- Break down this week's costs and compare models.
- Show the most expensive sessions from the last 30 days.
- Check cache reads and tokens preserved through compaction.

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 2fc68d5e4a6e13bd.

BEGIN THIRD-PARTY FILE 2fc68d5e4a6e13bd
````text
---
name: cost-breakdown
description: >
  Break down Claude Code costs using the Agent Monitor pricing engine.
  Shows per-model costs (input, output, cache_read, cache_write at $/Mtok rates),
  per-session costs, daily trends, and compaction baseline token recovery.
  Use when analyzing spending, comparing model costs, or planning budgets.
---

# Cost Breakdown

Detailed cost analysis from the Agent Monitor's pricing engine.

## Input

The user provides: **$ARGUMENTS**

This may be: "today", "this week", "last 30 days", a session ID, or "budget $50/week".

## Data Sources

| Endpoint | Returns |
|----------|---------|
| `GET /api/pricing` | `{ pricing: [{ model_pattern, display_name, input_per_mtok, output_per_mtok, cache_read_per_mtok, cache_write_per_mtok }] }` |
| `GET /api/pricing/cost` | Total cost: `{ total_cost, breakdown: [{ model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost, matched_rule }] }` |
| `GET /api/pricing/cost/{sessionId}` | Per-session cost with same breakdown shape |
| `GET /api/sessions?limit=200` | Sessions list — each includes inline `cost` field (bulk pricing) |
| `GET /api/analytics` | Token totals (total_input, total_output, total_cache_read, total_cache_write — baselines pre-summed), daily trends |

### How costs are calculated

The pricing engine matches model names against `model_pattern` using SQL LIKE (e.g. `claude-sonnet-4-5%` matches `claude-sonnet-4-5-20250514`). **Longest pattern wins** for specificity. Cost per model:

```
cost = (input_tokens / 1M) × input_per_mtok
     + (output_tokens / 1M) × output_per_mtok
     + (cache_read_tokens / 1M) × cache_read_per_mtok
     + (cache_write_tokens / 1M) × cache_write_per_mtok
```

Token counts are **effective totals** = `current + baseline` (baselines preserve pre-compaction tokens that would otherwise be lost when the transcript JSONL is rewritten).

### Default pricing tiers (seeded on first run)

| Family | Input $/Mtok | Output $/Mtok | Cache Read $/Mtok | Cache Write $/Mtok |
|--------|-------------|--------------|-------------------|-------------------|
| Opus 4.5/4.6 | $5 | $25 | $0.50 | $6.25 |
| Sonnet 4/4.5/4.6 | $3 | $15 | $0.30 | $3.75 |
| Haiku 4.5 | $1 | $5 | $0.10 | $1.25 |

## Report Sections

### 1. Cost by Model
Table from `/api/pricing/cost` breakdown — each model with 4 token counts + cost. Highlight which pricing rule matched.

### 2. Cost by Session (Top 10 Most Expensive)
From sessions list with inline `cost` — sort descending. Show session name, model, duration, cost.

### 3. Daily Cost Trend
Cross-reference `daily_sessions` with per-session costs to compute daily spend. Show 7/30-day trend with direction arrows.

### 4. Token Efficiency Analysis
- **Cache hit rate**: `total_cache_read / (total_cache_read + total_input) × 100` — higher = more efficient
- **Compaction baseline recovery**: Tokens preserved via baseline columns (tokens not lost to compaction)
- **Output/input ratio**: Balanced ratio indicates good prompt efficiency

### 5. Cost Optimization Opportunities
````
END THIRD-PARTY FILE 2fc68d5e4a6e13bd

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First 3070 of 3394 bytes. © hoangsonww · MIT · https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/HEAD/plugins/ccam-analytics/skills/cost-breakdown/SKILL.md

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---
NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md
