メニュー
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.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Scan HTML and JSX for accessibility issues with AI-powered fix suggestions
Multi-channel ABM automation that turns LinkedIn URLs into coordinated outbound campaigns. Scrapes profiles, enriches with Apollo (email + phone), gets mailing addresses via Skip Trace, then orchestrates email sequences, LinkedIn touches, and handwritten letters via Scribeless. The secret weapon for standing out in crowded inboxes.
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
| name | clawdbot-cost-tracker |
| description | 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. |
Track token usage and estimate API costs across all Clawdbot sessions.
# Use sessions_list to get token data
sessions_list --limit 20 --messageLimit 0
Extract totalTokens and model from each session.
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
Store daily snapshots in memory/usage/YYYY-MM-DD.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
}
}
}
Compare consecutive days to get daily usage:
daily_tokens = today.totalTokens - yesterday.totalTokens
daily_cost = estimate_cost(daily_tokens, model)
scripts/snapshot-usage.jsCreates a usage snapshot from current session data.
node scripts/snapshot-usage.js [output-dir]
# Default output: memory/usage/YYYY-MM-DD.json
scripts/calculate-cost.jsCalculates cost for a date range.
node scripts/calculate-cost.js [date]
# Default: today
# Output: JSON with token delta and estimated cost
Add to HEARTBEAT.md:
sessions_list to get current tokensmemory/usage/💰 **Clawdbot Cost** (yesterday)
• Used: 45.2k tokens
• Estimated: ~$1.23
For financial displays in Chinese context: