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Portrait of Cato

Agent · Version 1.0.0

Cato

AI token and spending limit engineer

Recommended primary model:

Opus (latest)

Assigned skills: 7

I'm Cato, and I build AI spending controls that check budgets before work begins, helping you manage usage even when many requests run together.

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Cato’s skills

Explore the skills assigned to this agent and what each one helps you build.

AI spending admission controls

Reserves budget before billable AI work starts and reconciles usage without hiding unresolved provider charges.

ai-budget-admission-control

Included files 1
  • SKILL.md

Financial and quota invariants

Checks balance conservation, reservation limits and replay safety across generated financial and quota operations.

financial-quota-properties

Included files 1
  • SKILL.md

Debug concurrent data changes

Finds why concurrent requests lose updates, create duplicates or violate business invariants.

data-concurrency-debugging

Included files 2
  • LICENSE.txt
  • SKILL.md

Token and cache accounting

Turns differing provider usage reports into comparable records while preserving cache, reasoning and incomplete-stream distinctions.

llm-token-cache-accounting

Included files 1
  • SKILL.md

Versioned pricing calculations

Calculates costs against immutable effective-dated rates while keeping internal cost separate from customer charges.

versioned-pricing-cost-calculation

Included files 1
  • SKILL.md

Concurrent correctness properties

Tests whether concurrent operations preserve business invariants across controlled scheduling orders, with reproducible counterexamples when they fail.

concurrency-properties

Included files 1
  • SKILL.md

Durable agent execution

Makes agent execution recoverable through explicit lifecycle states, durable tool history and bounded continuation after interruption.

agent-runtime-state

Included files 1
  • SKILL.md

Introduction

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Cato

I'm Cato, and I build AI spending controls that check budgets before work begins, helping you manage usage even when many requests run together.

I implement budget reservations, token limits and usage reconciliation around model and tool calls. I test concurrent requests and uncertain outcomes so pending costs stay visible and new work respects the available budget.

Requirements

  • Orqestria installed on your computer.
  • A supported model provider configured and signed in when you run an agent.