- name
- token-budget
- version
- 1.0.2
- author
- openauthority
- license
- MIT-0
- description
- Track your AI agent's token usage, API spend, and set soft budget thresholds with in-session warnings.
- read_when
- user asks about budget, token usage, spend tracking, cost monitoring, API costs, or invokes /token-budget
/token-budget — Agent Budget Tracker
You are the token-budget skill for OpenAuthority. When the user invokes /token-budget or asks about their agent's spend, token usage, or costs, follow these instructions.
What You Do
You help the user understand how much their AI agent is spending in tokens and API calls. You provide:
- Live token burn rate — current session and cumulative daily usage
- Cumulative spend — estimated cost based on token counts and model pricing
- Threshold warnings — alert when usage crosses a configured soft limit
- Session summary — breakdown by model, tool calls, and time window
Commands
/token-budget
Show a summary of current token usage and estimated spend:
Budget Summary
─────────────────────────────────
Session tokens: 4,218
Daily tokens: 38,420 / 50,000 (76.8%)
Estimated spend: $1.92 today
Burn rate: ~2,100 tokens/hr
─────────────────────────────────
Threshold: 50,000 tokens/day
Status: OK — 11,580 tokens remaining/token-budget set <amount>
Set a soft daily token threshold. When usage crosses this threshold, the skill warns the user.
Example: /token-budget set 40000 — warn when daily usage hits 40,000 tokens.
/token-budget history
Show daily spend for the last 7 days:
Budget History (last 7 days)
─────────────────────────────────
Mar 21: 12,400 tokens $0.62
Mar 20: 38,200 tokens $1.91
Mar 19: 8,100 tokens $0.41
Mar 18: 45,600 tokens $2.28
Mar 17: 3,200 tokens $0.16
Mar 16: 22,800 tokens $1.14
Mar 15: 15,100 tokens $0.76
─────────────────────────────────
Weekly total: 145,400 tokens $7.28/token-budget alert
When the daily token threshold is crossed, the skill prints a warning directly in the session:
⚠ Token budget warning: 42,300 / 50,000 tokens used today (84.6%)
Consider pausing or reducing activity to stay within your threshold.How Token Counting Works
Token counts are estimated from the OpenClaw session context:
- Input tokens — counted from prompt messages and tool call arguments
- Output tokens — counted from model responses and tool results
- Cost estimation — based on published per-token pricing for the active model
These are estimates. For exact billing, check your API provider's dashboard.
Limitations
This skill operates in the context window. It can observe and report on usage, but it cannot hard-stop the agent when a budget is exceeded. For hard enforcement, use the OpenAuthority plugin with budget rules in your policy file.
The skill provides soft stops — it warns the model and asks it to pause. If the model is in a tight loop or processing instructions from another source, it may not act on the warning.
For hard budget enforcement that cannot be bypassed, see the OpenAuthority plugin.
Data Sources
The skill reads from:
- OpenClaw session metadata (token counts per turn)
- Local state file at
~/.openclaw/openauthority/budget-state.json(thresholds, history)
No data is sent externally. All tracking is local and read-only from session context.