Generate self-contained HTML review interfaces for JSONL data.
npx skills add https://github.com/Miosa-osa/canopy --skill review-interface
Please help me install this Agent Skill. Skill: review-interface Source: https://github.com/Miosa-osa/canopy/tree/main/library/skills/workspace/review-interface Command: npx skills add https://github.com/Miosa-osa/canopy --skill review-interface
Annotating and auditing AI agent outputs and execution traces can be tedious and error-prone. This Skill generates self-contained HTML review interfaces that run entirely in the browser, enabling rapid, offline human evaluation of LLM outputs, agent traces, and labeled data.
Run /review-interface with your data file to generate a self-contained HTML review UI.
High-intent search queries and answers about installing and using this skill.
To create a human-in-the-loop annotation UI, analyze your JSONL data to generate a self-contained HTML interface. This offline browser tool enables rapid labeling and auditing of LLM outputs with configurable schemas and keyboard navigation.
The best way to label LLM evaluation datasets offline is generating a single self-contained HTML file. It runs entirely in the browser with inline CSS/JS, supporting configurable labels, blind mode to prevent bias, and result exports.
Yes, you can review and compare AI agent outputs offline. The generator produces a self-contained HTML file with inline assets, enabling side-by-side comparisons and trace reviews directly in the browser without any server or internet connection.
Yes, the review interface supports blind mode to prevent metadata bias during data labeling. This optional feature hides metadata within the self-contained HTML UI, ensuring objective human evaluation of LLM outputs and agent execution traces.
You can export labeled results for downstream QA directly from the self-contained HTML interface. After loading your JSONL data and completing annotations using the configurable schemas, the UI provides tools to export the labeled dataset for gold-standard creation.
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