Agent skill

Visual Verdict

by jmstar85 in jmstar85/oh-my-githubcopilot

Structured visual QA for screenshot-to-reference comparisons.

MITAuto-check passedTesting & QA

Install Visual Verdict

skills CLI
$ npx skills add jmstar85/oh-my-githubcopilot --skill visual-verdict -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jmstar85/oh-my-githubcopilot visual-verdict --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jmstar85/oh-my-githubcopilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/visual-verdict .claude/skills/visual-verdict && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
visual-verdict
GitHub stars
158
Token cost
~265 tokens
SKILL.md length
110 words
Files
1
Skills in repo
13
Repo updated
First seen
Licence
MIT

At a glance

Structured visual QA for screenshot-to-reference comparisons.

  • Works in 4 steps: Identify the actual artifact and the… → Compare layout, spacing, typography,… → Classify differences by severity:… → …
  • Tasks that involve Visual regression testing
  • SKILL.md covers Workflow, Output and Rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Visual Verdict is an agent skill from jmstar85/oh-my-githubcopilot. Structured visual QA for screenshot-to-reference comparisons. Activate when: visual verdict, screenshot compare, compare UI image, visual QA.

Its SKILL.md is about 270 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA, covering Visual regression testing. The repository describes itself as: Ultimate Harness Automation for Github Copilot on VS Code. It provides 28+ specialized agents, 30+ reusable skills, hooks, guardrails, and etc. The licence is MIT.

When your agent uses it

  • Tasks that involve Visual regression testing

Example prompts

  • “/visual-verdict”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Identify the actual artifact and the expected reference.
  2. Compare layout, spacing, typography, colors, states, responsive behavior, and accessibility-visible cues.
  3. Classify differences by severity: blocking, major, minor, cosmetic.
  4. Return a verdict: pass, pass-with-notes, or fail.

What it can do on your machine

Read from SKILL.md and the folder at commit 12b2c29. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Visual Verdict loads about 265 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 110 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~265

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jmstar85/oh-my-githubcopilot at commit 12b2c29, republished under its MIT licence (© jmstar85). 110 words, ~265 tokens.

Download SKILL.mdSave it as .claude/skills/visual-verdict/SKILL.md (or your agent's skills folder).
name
visual-verdict
description
Structured visual QA for screenshot-to-reference comparisons. Activate when: visual verdict, screenshot compare, compare UI image, visual QA.
argument-hint
<screenshot and reference/context>

Visual Verdict

Use this skill to produce a concise, evidence-based visual comparison between an actual screenshot and a reference image or written visual spec.

Workflow

  1. Identify the actual artifact and the expected reference.
  2. Compare layout, spacing, typography, colors, states, responsive behavior, and accessibility-visible cues.
  3. Classify differences by severity: blocking, major, minor, cosmetic.
  4. Return a verdict: pass, pass-with-notes, or fail.

Output

  • Verdict
  • Evidence observed
  • Severity-rated differences
  • Recommended fixes
  • Unknowns or missing artifacts

Rules

  • Do not invent visual evidence that is not present.
  • If only one image is available, compare against the written spec and call out the weaker confidence.
  • Prefer actionable UI fixes over broad design commentary.

© jmstar85, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .github/skills/visual-verdict of jmstar85/oh-my-githubcopilot.

Open the folder on GitHubat commit 12b2c29

Compare with similar skills

Visual Verdict next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Visual Verdict compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Visual Verdict this skilljmstar85/oh-my-githubcopilot158—~265Automated safety check: PassMIT
Review Local UI Screenshotsxiaocang/easydict_win32103—~1.1kAutomated safety check: PassGPL-3.0
Handsontable Visual Test Demoshandsontable/handsontable22k—~1.3kAutomated safety check: PassCustom licence
Kc Screenshotimran31415/kube-coder388—~870Automated safety check: NotesMIT
Visual QAliangdabiao/Godogen126—~1.4kAutomated safety check: PassMIT
Meticulous FixFlintSH/Flare135—~2.3kAutomated safety check: PassMIT

Similar skills

  • Review Local UI Screenshots

    xiaocang/easydict_win32

    Review Easydict UI automation screenshot artifacts already present in local artifacts/ui-screenshots, screenshots, or a user-provided artifact directory.

    103 GitHub stars~1.1k tokensUpdated today
    Testing & QAAuto-check passed
  • Handsontable Visual Test Demos

    handsontable/handsontable

    Explains how to add or change the demo pages that Handsontable's visual regression suite photographs, including per-feature routes in the js demo and the shared grid.

    22k GitHub stars~1.3k tokensUpdated today
    Testing & QAAuto-check passed
  • Kc Screenshot

    imran31415/kube-coder

    Capture desktop + mobile, dark + light screenshots of the kube-coder dashboard SPA for visual QA of a UI change.

    388 GitHub stars~870 tokensUpdated yesterday
    Testing & QAAuto-check: notes
  • Visual QA

    liangdabiao/Godogen

    Visual quality assurance — analyze game screenshots for defects, compare against reference, check motion in frame sequences.

    126 GitHub stars~1.4k tokensUpdated 5 mo ago
    Testing & QAAuto-check passed
  • Meticulous Fix

    FlintSH/Flare

    Fix the visual diffs that have been reviewed and rejected on a Meticulous test run, following their review comments if given.

    135 GitHub stars~2.3k tokensUpdated 3 days ago
    Testing & QAAuto-check passed
  • Visual QA For Web And Terminal UIs

    code-yeongyu/oh-my-openagent

    Checks a built UI against a human-interface checklist and any reference image, pairing day and night screenshots at two screen widths.

    70k GitHub stars~9.5k tokensUpdated today
    Testing & QAAuto-check passed

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Categories

Questions about Visual Verdict

What does Visual Verdict do?

Structured visual QA for screenshot-to-reference comparisons. Visual Verdict is an agent skill from jmstar85/oh-my-githubcopilot. Structured visual QA for screenshot-to-reference comparisons.

When should I use Visual Verdict?

Visual Verdict fits situations like: tasks that involve Visual regression testing.

How do I install Visual Verdict in Claude Code?

Run `npx skills add jmstar85/oh-my-githubcopilot --skill visual-verdict -a claude-code`. Or copy the skill folder (.github/skills/visual-verdict in jmstar85/oh-my-githubcopilot) into .claude/skills/visual-verdict in your project. Claude Code loads it when a task matches its description.

How do I install Visual Verdict in Codex?

Run `npx skills add jmstar85/oh-my-githubcopilot --skill visual-verdict -a codex`. Or copy the skill folder (.github/skills/visual-verdict in jmstar85/oh-my-githubcopilot) into .agents/skills/visual-verdict in your project. Codex loads it when a task matches its description.

Can I use Visual Verdict in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jmstar85/oh-my-githubcopilot --skill visual-verdict -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/visual-verdict, .gemini/skills/visual-verdict, .github/skills/visual-verdict and .opencode/skills/visual-verdict in your project.

What does Visual Verdict need to run?

SKILL.md names no scripts, command-line tools or credentials: Visual Verdict is instructions for the agent only.

Does Visual Verdict access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Visual Verdict safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Visual Verdict use?

Visual Verdict is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Visual Verdict use?

About 265 tokens (SKILL.md is roughly 1.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Visual Verdict?

Skills that share tags, products or a category with Visual Verdict: Review Local UI Screenshots (xiaocang/easydict_win32, 103 stars), Handsontable Visual Test Demos (handsontable/handsontable, 22k stars), Kc Screenshot (imran31415/kube-coder, 388 stars) and Visual QA (liangdabiao/Godogen, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Visual Verdict?

jmstar85 (a GitHub user) maintains it in jmstar85/oh-my-githubcopilot, which has 158 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on May 20, 2026.

Source: jmstar85/oh-my-githubcopilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.