ui-evidence

ui-evidence is a skill for Claude Code, Codex from guillermoscript/lms-front. It costs 121 tokens per session (898 once invoked), scanned A, original, MIT.

A procedure for collecting before-and-after screenshots and a recording of a user-interface change, then attaching that evidence to a pull request. A pull request is a proposed code change submitted for review.

In plain words
What is it for?
Use it for changes that users can see, such as screens, layouts, or interaction flows, when preparing a pull request.
Why use it?
It gives reviewers visual proof of what changed and whether the updated interface works as intended.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/guillermoscript/lms-front/ui-evidence
Any agent
npx skills add guillermoscript/lms-front --skill ui-evidence
Clone the repo
git clone --depth 1 https://github.com/guillermoscript/lms-front

Made for: Claude Code, Codex.

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 ui-evidence

README.md
[![agentmods](https://agentmods.dev/badge/skills/guillermoscript/lms-front/ui-evidence.svg)](https://agentmods.dev/skills/guillermoscript/lms-front/ui-evidence)
Your own site
<a href="https://agentmods.dev/skills/guillermoscript/lms-front/ui-evidence"><img src="https://agentmods.dev/badge/skills/guillermoscript/lms-front/ui-evidence.svg" alt="Measured on agentmods" height="20"></a>
Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 898 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00121 $0.00898
Opus 5 $0.00060 $0.00449
Sonnet 5 $0.00024 $0.00180
Haiku 4.5 $0.00012 $0.00090

Measured 4d ago against content hash d67ad38a780b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ui-evidence 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 4d 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.

.agents/skills/ui-evidence/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.

UI Evidence — before/after screenshots and a verification GIF

Reviewers weigh a before/after pair far more than a description of what changed, and the GIF comment is what tells them "this needs your visual sign-off". For any user-visible change this evidence is mandatory, not decorative.

Chrome is a single shared resource — never delegate it. All browser steps here (screenshots, GIF recording, uploads) run in the main agent via the claude-in-chrome tools; parallel subagents fighting over one browser serialize badly and corrupt each other's recordings. If several tasks need Chrome, queue their browser steps and do them one at a time at the end.

1. Before-captures — do this BEFORE touching the code

The only moment the "before" state exists is before implementation — once the change lands, it's gone. As soon as it's known that a change touches UI:

  1. Start (or find) the locally running app — check for a run skill or repo docs for the start command and local URL/basePath conventions.
  2. Open the affected screen(s) in Chrome and screenshot each (mcp__claude-in-chrome__computer, screenshot action), saved as issue-<N>-before-<screen>.png (or before-<screen>.png if there's no issue number).
  3. If the local app isn't running and starting it is disruptive right now, note that "before" captures were skipped and why — don't silently drop them.

2. Verification GIF + after-shots — after implementing

  1. Drive the changed flow end-to-end in the running app (the verify skill covers how to exercise it; this skill covers how to record it).
  2. Record the drive with mcp__claude-in-chrome__gif_creator: start capture before the first action, capture extra frames before and after each step so playback is smooth, and name the file after the work (e.g. issue-<N>-verification.gif). Save it somewhere durable and note the path.
  3. Take "after" screenshots of the same screens captured in step 1 (issue-<N>-after-<screen>.png) so the PR can show matched before/after pairs — same screen, same viewport, ideally same scroll position.

Read the full file on GitHub · 71 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 4d ago First seen · 71 lines · 121 tokens per session scan A d67ad38a780b

Subscribe to this mod's changes

ui-evidence is a skill published in the GitHub repository guillermoscript/lms-front (25 stars, last pushed yesterday), licensed MIT. It adds 121 tokens to every session and 898 once invoked, about $0.0006 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 2026-08-30.

Related

Other skills, from other repositories

emil-design-eng

This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.

classroomio/classroomio · 35 tokens

humanizer

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague…

classroomio/classroomio · 93 tokens

apple-design

Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading)…

classroomio/classroomio · 80 tokens

add-landing-template

Add a new org landing-page template to the ClassroomIO monorepo. Use when the user asks to "create/add a new landing template", "add a new template like X to the org landing pages", "build a new theme for the org landing page", or hands over a design reference (image, URL, prototype) for a new landing visual style.

classroomio/classroomio · 78 tokens

animation-vocabulary

Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and…

classroomio/classroomio · 98 tokens

prototype

Build multiple genuinely different versions of a UI piece you describe, rendered behind a visual picker so you can flip through them live and promote the one that feels right. Only runs when explicitly invoked; it does not trigger on its own.

classroomio/classroomio · 48 tokens