caulus-agent

Automate evaluation and improvement of agent behavior with the Caulus framework.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/corca-ai/cautilus --skill caulus-agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: caulus-agent
Source: https://github.com/corca-ai/cautilus/tree/main/plugins/cautilus/skills/cautilus-agent
Command: npx skills add https://github.com/corca-ai/cautilus --skill caulus-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires caulus-agent, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates intentful behavior evaluation, ensuring your behavior survives changes to prompts, skills, and models, and improves it within explicit budgets.

Core Features & Use Cases

  • Behavior Evaluation: Automatically run Caulus's checked-in workflow to evaluate behavior.
  • Claim Discovery: Identify which parts of your code and documentation are being proven, ensuring alignment and completeness.
  • Comparison: Compare host-preserved baseline and variant outputs to identify improvements and regressions.
  • Improve Automation: Use Caulus's built-in features to automate the improvement of your behavior.
  • Use Case: For a developer working on a chatbot, use this Skill to evaluate the behavior of the chatbot after making changes to its prompts or model, ensuring it still behaves as expected and improving it if necessary.

Quick Start

Use the caulus-agent skill to evaluate the behavior of your chatbot after making changes to its prompts or model.

Frequently Asked Questions about caulus-agent

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

FAQPage Schema
How do I automate chatbot behavior evaluation after changing prompts or models?

Automate chatbot behavior evaluation by running the Caulus checked-in workflow to verify agent behavior survives prompt, skill, and model changes. It automatically evaluates outputs against a baseline to identify regressions and ensure expected behavior is maintained.

What is claim discovery in agent behavior testing?

Claim discovery in agent behavior testing identifies which parts of your code and documentation are being proven during evaluation. This ensures alignment and completeness, verifying that your chatbot or agent system operates exactly as documented.

How can I compare baseline and variant outputs to find agent regressions?

Compare baseline and variant outputs using Caulus to identify improvements and regressions in agent behavior. The framework preserves host baselines and evaluates variant outputs side-by-side to detect behavioral changes after modifications.

Do I need the Caulus binary to run improvement automation for agents?

Yes, you need the Caulus Agent dependency and the ability to run the Caulus binary to execute improvement automation. The framework leverages built-in features to automate behavior improvement within explicit budgets for chatbots and agents.

Can I use behavior evaluation automation for systems other than chatbots?

Yes, behavior evaluation automation applies to chatbots, agents, and any system requiring automated behavior verification and improvement. The Caulus framework evaluates intentful behavior universally across any system needing automated testing.

What's the best way to automate agent behavior improvement within a budget?

Automate agent behavior improvement within explicit budgets using Caulus's built-in improvement automation features. The framework automatically evaluates behavior, discovers claims, and drives improvements while respecting your defined resource constraints.