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review-interface

Generate self-contained HTML annotation interfaces for reviewing JSONL data.

Updated Apr 29, 2026
Search Tags:#ui#LLM#review#traces#annotation#data-labeling
One-click install
npx skills add https://github.com/MantisWare/BizForge --skill review-interface-mantisware
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-interface
Source: https://github.com/MantisWare/BizForge/tree/main/library/skills/workspace/review-interface
Command: npx skills add https://github.com/MantisWare/BizForge --skill review-interface-mantisware

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate self-contained HTML annotation interfaces for reviewing agent outputs, traces, and labeled data.

Core Features & Use Cases

  • Self-contained HTML UI that runs entirely in the browser with embedded data
  • Supports configurable annotation schemas, review modes, and progress tracking
  • Enables evaluation, auditing, and dataset labeling with exportable results

Quick Start

Launch a customizable, browser-based review UI for a given dataset and annotation task.

Frequently Asked Questions about review-interface

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

FAQPage Schema
How do I build a custom annotation UI for reviewing LLM traces?▼

To build a custom annotation UI for reviewing LLM traces, you can generate a self-contained HTML file with inline data, configurable label schemas, and review modes that runs entirely in the browser without a server.

Can I review agent outputs in a browser without setting up a backend server?▼

Yes, you can review agent outputs in a browser without a backend server by using a self-contained HTML annotation interface that embeds data inline and requires no server setup.

What is the best way to create a data labeling interface from JSONL data?▼

The best way to create a data labeling interface from JSONL data is generating a single self-contained HTML file with inline data, configurable label schemas, and progress tracking for human reviewers.

Does the annotation interface support configurable schemas for auditing tasks?▼

Yes, the annotation interface supports configurable schemas for auditing tasks, allowing teams to design custom review workflows, compare labeled data, and export results directly from the browser.

How do I export results from an HTML annotation review workflow?▼

To export results from an HTML annotation review workflow, you use the interface's built-in export functionality, which allows human reviewers to extract annotated data and comparison results directly from the self-contained file.

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