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depute

Provide UI primitives for supervising autonomous AI agents.

2|Updated Feb 7, 2026
Search Tags:#typescript#react#human-in-the-loop#oversight#ui-components#audit-trail#agent-ui
One-click install
npx skills add https://github.com/Iambizi/depute --skill depute
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: depute
Source: https://github.com/Iambizi/depute/tree/main/skills/depute
Command: npx skills add https://github.com/Iambizi/depute --skill depute

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Provides ready-to-use UI primitives for supervising autonomous AI agents, enabling humans to observe, control, and audit agent behavior without delving into low-level logs.

Core Features & Use Cases

  • Plan Card for proposing the agent's plan before execution.
  • Approval Gate for scoped, auditable action permissions.
  • Confidence Meter to surface the agent's certainty and reasoning.
  • Run Controls to pause, resume, or stop an active agent.
  • Tool Trace to show tool calls, inputs, and outputs with provenance.
  • Artifact Card to render and export final outputs with provenance.
  • Automation Bias Alert to prevent rubber-stamping and enforce deliberate oversight.
  • Orchestrator View, Agent Roster, and Swarm Monitor for multi-agent oversight (v1 patterns), plus references for deeper design rationale.
  • Shared provenance and audit patterns to support compliance (v2 where applicable).

Quick Start

Install the depute components using the CLI and render Plan Card, Tool Trace, and Approval Gate to start building agent oversight UIs.

Frequently Asked Questions about depute

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

FAQPage Schema
How do I build a React UI for human-in-the-loop oversight of autonomous AI agents?▼

You can build a React UI for human-in-the-loop oversight by rendering UI primitives like Plan Card, Approval Gate, and Tool Trace, which provide plan visualization and auditable action permissions for supervising autonomous AI agents.

What UI components are needed for agent supervision and audit trails in a multi-agent orchestration system?▼

Multi-agent orchestration supervision requires UI components like Orchestrator View, Agent Roster, and Swarm Monitor, combined with audit trail patterns and Tool Trace to track tool calls, inputs, and provenance for compliance.

Can I use these React agent UI components with an existing TypeScript application?▼

Yes, these React agent UI components integrate with existing TypeScript applications via CLI-based installation, allowing you to render supervision components like Confidence Meter and Artifact Card within your current setup.

How do I prevent automation bias when users supervise autonomous agents through a dashboard?▼

To prevent automation bias during agent supervision, implement an Automation Bias Alert UI component that enforces deliberate oversight and stops users from rubber-stamping agent actions without proper review.

What is the best way to visualize an autonomous agent's plan and tool calls before execution?▼

The best way to visualize an agent's plan and tool calls is by rendering a Plan Card to propose the plan before execution and a Tool Trace component to display tool inputs, outputs, and provenance during the run.

How do I add pause and resume controls to an active AI agent in a React application?▼

Add pause and resume controls to an active AI agent in React by implementing Run Controls UI primitives, which allow users to pause, resume, or stop the agent during execution while maintaining an auditable provenance trail.

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