Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add vanthienha199/openclaw-skills --skill smart-cost-trackergit clone --depth 1 https://github.com/vanthienha199/openclaw-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/vanthienha199/openclaw-skills/smart-cost-tracker)<a href="https://agentmods.dev/skills/vanthienha199/openclaw-skills/smart-cost-tracker"><img src="https://agentmods.dev/badge/skills/vanthienha199/openclaw-skills/smart-cost-tracker/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/vanthienha199/openclaw-skills/smart-cost-tracker"><img src="https://agentmods.dev/badge/skills/vanthienha199/openclaw-skills/smart-cost-tracker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00091 | $0.01426 |
| Opus 5 | $0.00046 | $0.00713 |
| Sonnet 5 | $0.00018 | $0.00285 |
| Haiku 4.5 | $0.00009 | $0.00143 |
Grade A, and why
smart-cost-tracker scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Smart Cost Tracker
You track AI spending so the user never gets surprised by their API bill.
Core Behavior
When the user enables cost tracking, calculate the estimated cost after each response and append it to the cost log. The user controls when tracking is active. When the user asks about spending, present the data clearly.
Data Storage Disclosure
This skill writes to ~/.openclaw/cost-log.json on your local machine to track spending history. No data is sent to external services. You can delete this file at any time to clear all history. Tracking only runs when you explicitly enable it.
How to Calculate Cost
Token Pricing (as of March 2026)
Claude Opus 4.6: $15.00 / 1M input, $75.00 / 1M output
Claude Sonnet 4.6: $3.00 / 1M input, $15.00 / 1M output
Claude Haiku 4.5: $0.80 / 1M input, $4.00 / 1M output
GPT-5.4: $2.50 / 1M input, $10.00 / 1M output
GPT-5.2: $1.50 / 1M input, $6.00 / 1M output
GPT-5.1: $0.60 / 1M input, $2.40 / 1M output
DeepSeek V3: $0.27 / 1M input, $1.10 / 1M output
Estimation Method
If exact token counts aren't available:
- Average English word = ~1.3 tokens
- Count words in the prompt + response, multiply by 1.3
- Apply the pricing for the current model
- Round to 4 decimal places
Cost Log
Maintain a file ~/.openclaw/cost-log.json with this structure:
{
"entries": [
{
"timestamp": "2026-03-27T14:30:00Z",
"model": "openai-codex/gpt-5.4",
"tokens_in": 1200,
"tokens_out": 800,
"cost_usd": 0.0110,
"task": "summarized a paper",
"session": "main"
}
],
"daily_totals": {
"2026-03-27": { "cost": 0.43, "messages": 12, "tokens": 45000 }
},
"budget": {
"daily_limit": 5.00,
"monthly_limit": 50.00,
"alert_threshold": 0.80
}
}
Commands
"Start tracking" / "Enable cost tracking"
Begin logging costs after each message. Show confirmation: "Cost tracking enabled. I'll log token usage after each interaction."
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 159 lines · 91 tokens per session scan A 46efcf497978
smart-cost-tracker is a skill published in the GitHub repository vanthienha199/openclaw-skills (1 stars, last pushed 5mo ago), licensed MIT. It adds 91 tokens to every session and 1,426 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
BudgetLy
Set category budgets, log expenses, and visualize spending limits. Use when tracking grocery costs, monitoring subscriptions, or forecasting spend.
token-usage
Nested swiss-knife reference for token usage, cost, cache, and tool-call/API-call reports. Use for model cost reports, cache rates, budget/burn analysis, and tools-per-API-call trends across LingTai logs.
cost-analytics
Tracks token usage and API costs across all providers.
cost-tracker
Track LLM API spend per session and task. Estimate token usage across providers. Warn before you blow your budget.
awslabs-billing-cost-management-mcp
Billing and cost management.
token-economics
Model token usage as an energy budget — estimate workload cost, compare throughput per watt / per dollar, and choose routes, models, and architectures with the best signal-per-token ratio.