build-review-interface

build-review-interface is a skill for Claude Code from Goodeye-Labs/truesight-mcp-skills. It costs 27 tokens per session (517 once invoked), scanned A, original, MIT.

A workflow for building a custom web interface where people review and label AI traces, meaning records of an agent's work. It covers rendering Markdown, highlighting code, displaying JSON, and navigating review items.

In plain words
What is it for?
Use it to design and implement review screens with annotation controls, autosave, input and output storage, trace navigation, and readable technical content.
Why use it?
It provides a dedicated place to inspect outputs, record pass or fail decisions, add notes, defer items, and track review progress.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool.

Part of the truesight plugin — 9 skills, 1 MCP server shipped together

Good fit Use it to design and implement review screens with annotation controls, autosave, input and output storage, trace navigation, and readable technical content.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/goodeye-labs/truesight-mcp-skills/build-review-interface
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Goodeye-Labs/truesight-mcp-skills --skill build-review-interface
Clone the repo
git clone --depth 1 https://github.com/Goodeye-Labs/truesight-mcp-skills

Made for: Claude Code.

Or install truesight, the plugin that ships this one along with the rest of its 9 skills, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for build-review-interface

README.md
[![agentmods](https://agentmods.dev/badge/skills/goodeye-labs/truesight-mcp-skills/build-review-interface/github.svg)](https://agentmods.dev/skills/goodeye-labs/truesight-mcp-skills/build-review-interface)
Your own site
<a href="https://agentmods.dev/skills/goodeye-labs/truesight-mcp-skills/build-review-interface"><img src="https://agentmods.dev/badge/skills/goodeye-labs/truesight-mcp-skills/build-review-interface/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for build-review-interface

Your own site · 80×15
<a href="https://agentmods.dev/skills/goodeye-labs/truesight-mcp-skills/build-review-interface"><img src="https://agentmods.dev/badge/skills/goodeye-labs/truesight-mcp-skills/build-review-interface.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 517 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.00517
Opus 5 $0.00014 $0.00259
Sonnet 5 $0.00005 $0.00103
Haiku 4.5 $0.00003 $0.00052

Measured 12d ago against content hash e0ea9d882ae9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

build-review-interface scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/build-review-interface/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Build Review Interface

Use this skill to design and implement a stack-agnostic custom trace review web UI.

Interactive Q&A protocol (mandatory)

Start with custom web UI scoping questions.

Rules:

  • Ask one question at a time.
  • Use the structured question tool for every question. Structure each with a short header, 2-4 options with labels and descriptions, and place the recommended option first. Do not add "(Recommended)" or similar annotations to option labels.
  • Ask one follow-up when requirements are ambiguous.

Example question:

What should the primary annotation action set be in v1?
A) Pass / Fail only
B) Pass / Fail + free-text notes
C) Pass / Fail + notes + Defer
D) Custom label set

Custom UI workflow

  1. Define annotation contract:
    • pass/fail controls
    • free-text notes
    • defer action
    • autosave behavior
  2. Define data source and persistence:
    • JSON/CSV input or API-backed source
    • CSV/JSON/SQLite output for labels
  3. Build trace review views:
    • render markdown as markdown
    • syntax highlight code
    • pretty-print JSON
    • collapse low-value verbose sections
  4. Add navigation and productivity controls:
    • next/previous
    • position and progress counters
    • keyboard shortcuts
  5. Validate end to end:
    • functional checks
    • data persistence checks
    • Playwright verification for core annotation loop

Design checklist

  • Consistent layout and terminology across traces
  • Pass/fail actions visually distinct
  • Full trace visible or expandable
  • Autosave on primary actions
  • Keyboard shortcuts for frequent actions
  • Trace-level annotation as default

Guardrails

  • Keep technology guidance stack-agnostic unless the user asks for a specific stack.
    • Review the existing codebase to determine if any existing stack is available and offer that as an option.
  • Keep sampling logic separate from UI implementation.

Read the full file on GitHub · 71 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 71 lines · 27 tokens per session scan A e0ea9d882ae9

Subscribe to this mod's changes

build-review-interface is a skill published in the GitHub repository Goodeye-Labs/truesight-mcp-skills (7 stars, last pushed 5mo ago), licensed MIT. It adds 27 tokens to every session and 517 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

accessibility

Use when working on accessibility, a11y, WCAG, ARIA, screen readers, keyboard nav, focus order, contrast, alt text, captions, reduced motion, or target sizes; not language/culture/device (see inclusive-design).

evanca/flutter-ai-rules · 52 tokens

inclusive-design

Use when working on inclusion, i18n/localization, global name/address forms, low-end devices, slow/metered networks, affordability, or first-time/low-confidence users; not WCAG/screen readers (see accessibility).

evanca/flutter-ai-rules · 50 tokens

store-listing-assets

Use when writing store copy to character limits (name, subtitle, descriptions, keywords) or preparing listing images (icon, feature graphic, screenshots, preview video).

evanca/flutter-ai-rules · 37 tokens

excalidraw-architect

Choose and compose the right Excalidraw diagram - architecture, flowchart, sequence, state, ER, swimlane, process, timeline, quadrant, pyramid, venn, loop, gantt, bar, line, scatter, and more - using the excalidraw-architect-mcp server. Use whenever a reader would learn more from a picture than from prose, or when…

BV-Venky/excalidraw-architect-mcp · 101 tokens

frontend-design

Create highly adaptive, production-grade frontend interfaces optimized for modern web standards and Generative UI pipelines. Use when building components, layouts, or design systems that require a distinct, non-generic aesthetic.

LuizEduPP/Rememb · 42 tokens

pn-render-verify

Re-read a rendered or visual artifact and produce a structured verdict against the spec. Use before pn-skeptic-challenge in design workflows when the deliverable is a render, image, screenshot, or HTML page.

perniemann/pnCore · 48 tokens