clawdbot-cost-tracker
Track Clawdbot AI model usage and estimate costs. Use when reporting daily/weekly costs, analyzing token usage across sessions, or monitoring AI spending. Supports Claude (opus/sonnet), GPT, and Codex models.
What this skill does
# Clawdbot Cost Tracker
Track token usage and estimate API costs across all Clawdbot sessions.
## Quick Start
### Get Current Usage
```bash
# Use sessions_list to get token data
sessions_list --limit 20 --messageLimit 0
```
Extract `totalTokens` and `model` from each session.
### Calculate Cost
Model pricing (USD per million tokens):
| Model | Input | Output | Avg Ratio |
|-------|-------|--------|-----------|
| claude-opus-4-5 | $15 | $75 | 30/70 |
| claude-sonnet-4 | $3 | $15 | 30/70 |
| codex-mini-latest | $1 | $5 | 30/70 |
| gpt-4o | $2.5 | $10 | 30/70 |
| gpt-4o-mini | $0.15 | $0.6 | 30/70 |
Cost formula (assuming 30% input, 70% output):
```
cost = tokens * (0.3 * input_price + 0.7 * output_price) / 1,000,000
```
## Daily Tracking
### Save Usage Snapshot
Store daily snapshots in `memory/usage/YYYY-MM-DD.json`:
```json
{
"date": "2026-01-29",
"timestamp": "2026-01-29T08:20:00+08:00",
"sessions": {
"session_key": {
"model": "claude-opus-4-5",
"totalTokens": 123456,
"channel": "discord"
}
},
"summary": {
"totalTokens": 250000,
"byModel": {
"claude-opus-4-5": 220000,
"codex-mini-latest": 30000
}
}
}
```
### Calculate Daily Cost
Compare consecutive days to get daily usage:
```
daily_tokens = today.totalTokens - yesterday.totalTokens
daily_cost = estimate_cost(daily_tokens, model)
```
## Scripts
### `scripts/snapshot-usage.js`
Creates a usage snapshot from current session data.
```bash
node scripts/snapshot-usage.js [output-dir]
# Default output: memory/usage/YYYY-MM-DD.json
```
### `scripts/calculate-cost.js`
Calculates cost for a date range.
```bash
node scripts/calculate-cost.js [date]
# Default: today
# Output: JSON with token delta and estimated cost
```
## Integration with Daily Report
Add to HEARTBEAT.md:
1. Call `sessions_list` to get current tokens
2. Load previous day's snapshot from `memory/usage/`
3. Calculate delta and estimate cost
4. Include in daily report format:
```
๐ฐ **Clawdbot Cost** (yesterday)
โข Used: 45.2k tokens
โข Estimated: ~$1.23
```
## Color Conventions (Chinese Style)
For financial displays in Chinese context:
- ๐ด Red = Up/Increase
- ๐ข Green = Down/Decrease
Related in Data & Analytics
clawarr-suite
IncludedComprehensive management for self-hosted media stacks (Sonarr, Radarr, Lidarr, Readarr, Prowlarr, Bazarr, Overseerr, Plex, Tautulli, SABnzbd, Recyclarr, Unpackerr, Notifiarr, Maintainerr, Kometa, FlareSolverr). Deep library exploration, analytics, dashboard generation, content management, request handling, subtitle management, indexer control, download monitoring, quality profile sync, library cleanup automation, notification routing, collection/overlay management, and media tracker integration (Trakt, Letterboxd, Simkl).
querying-soql
IncludedSOQL query generation, optimization, and analysis with 100-point scoring. Use this skill when the user needs SOQL/SOSL authoring or optimization: natural-language-to-query generation, relationship queries, aggregates, query-plan analysis, and performance or safety improvements for Salesforce queries. TRIGGER when: user writes, optimizes, or debugs SOQL/SOSL queries, touches .soql files, or asks about relationship queries, aggregates, or query performance. DO NOT TRIGGER when: bulk data operations (use handling-sf-data), Apex DML logic (use generating-apex), or report/dashboard queries.
app-store-optimization
IncludedApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
habit-flow
IncludedAI-powered atomic habit tracker with natural language logging, streak tracking, smart reminders, and coaching. Use for creating habits, logging completions naturally ("I meditated today"), viewing progress, and getting personalized coaching.
app-store-optimization
IncludedApp Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.
visualizing-data
IncludedBuilds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics. Provides systematic framework for selecting appropriate visualizations based on data characteristics and analytical purpose. Includes 24+ visualization types organized by purpose (trends, comparisons, distributions, relationships, flows, hierarchies, geospatial), accessibility patterns (WCAG 2.1 AA compliance), colorblind-safe palettes, and performance optimization strategies. Use when creating visualizations, choosing chart types, displaying data graphically, or designing data interfaces.