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Miosa-osa
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budget

Track and enforce multi-level AI workspace token and dollar budgets.

226|55|Updated Mar 19, 2026
Search Tags:#multi-agent#dashboard#alerts#budget#cost-management#token-spend
One-click install
npx skills add https://github.com/Miosa-osa/canopy --skill budget-miosa-osa
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: budget
Source: https://github.com/Miosa-osa/canopy/tree/main/library/skills/governance/budget
Command: npx skills add https://github.com/Miosa-osa/canopy --skill budget-miosa-osa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Budget control in multi-agent AI workspaces is hard without centralized governance. This skill provides real-time visibility, enforcement, and reporting to prevent runaway costs and misallocations across agents, tasks, and projects.

Core Features & Use Cases

  • Real-time dashboards showing per-agent, per-task, and per-project spend in tokens and dollars.
  • Three-tier enforcement: soft alerts at 80% and hard ceilings at 100% with auto-pause to prevent overspend.
  • Exportable cost reports and burn-rate metrics for budgeting cycles and financial planning.
  • Use Case: Finance or ops teams can rapidly identify cost overruns and take automated actions to reallocate resources.

Quick Start

Open the budget dashboard and review current burn against targets.

Frequently Asked Questions about budget

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set AI budget limits for multi-agent environments to prevent overspending?▼

To prevent overspending in multi-agent environments, you can enforce AI budget limits using a three-tier policy with soft alerts at 80% and hard ceilings at 100% that auto-pause tasks. This applies tracking across per-agent, per-task, and per-project levels.

What is the best way to track token spend and workspace costs across multiple AI projects?▼

The best way to track token spend and workspace costs is by using real-time dashboards that aggregate multi-level AI expenditures. This provides visibility into burn-rate metrics for budgeting cycles and financial planning across agents and projects.

How do automated budget alerts work for managing AI token consumption?▼

Automated budget alerts for AI token consumption trigger as soft notifications when spending reaches 80% of your limit. If spending hits the 100% hard ceiling, automated enforcement pauses the agents to stop runaway costs immediately.

Can I monitor per-agent and per-task costs in real-time to identify overruns?▼

Yes, you can monitor per-agent and per-task costs in real-time to identify overruns through centralized dashboards. These display current spend in both tokens and dollars, allowing finance and ops teams to reallocate resources rapidly.

How do I export cost reports and burn-rate metrics for financial planning?▼

You can export cost reports and burn-rate metrics directly from the budget dashboard to support financial planning. This allows teams to analyze multi-level workspace expenditures and document budget enforcement actions for review cycles.

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