Agent skill

Gameplay Visual Review

by witnesstodark in witnesstodark/mr-mak-workspace

Verify a visual game change using controlled native captures, targeted behavioral checks and a reviewable evidence record.

MITAuto-check passed

Install Gameplay Visual Review

skills CLI
$ npx skills add witnesstodark/mr-mak-workspace --skill gameplay-visual-review -a claude-code

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

GitHub CLI
$ gh skill install witnesstodark/mr-mak-workspace gameplay-visual-review --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/witnesstodark/mr-mak-workspace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/gameplay-visual-review .claude/skills/gameplay-visual-review && 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
gameplay-visual-review
GitHub stars
343
Token cost
~720 tokens
SKILL.md length
373 words
Files
1
Skills in repo
19
Repo updated
First seen
Licence
MIT

At a glance

Verify a visual game change using controlled native captures, targeted behavioral checks and a reviewable evidence record.

  • Scene changes whose appearance must be judged in the actual game
  • SKILL.md covers Build a fair comparison, Check appearance and behavior… and Leave useful evidence
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Gameplay Visual Review is an agent skill from witnesstodark/mr-mak-workspace. Verify a visual game change using controlled native captures, targeted behavioral checks and a reviewable evidence record. Use for animation, VFX, HUD or scene changes whose appearance must be judged in the actual game.

Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: A local desktop workspace for Codex and Claude Code, with project reports, creative skills and optional voice. The licence is MIT.

When your agent uses it

  • Scene changes whose appearance must be judged in the actual game

Example prompts

  • “/gameplay-visual-review”

What it can do on your machine

Read from SKILL.md and the folder at commit ee27994. 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

Gameplay Visual Review loads about 720 tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 373 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~720

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 witnesstodark/mr-mak-workspace at commit ee27994, republished under its MIT licence (© witnesstodark). 373 words, ~720 tokens.

Download SKILL.mdSave it as .claude/skills/gameplay-visual-review/SKILL.md (or your agent's skills folder).
name
gameplay-visual-review
description
Verify a visual game change using controlled native captures, targeted behavioral checks and a reviewable evidence record. Use for animation, VFX, HUD or scene changes whose appearance must be judged in the actual game.

Gameplay visual review

Read the requested change and its accepted baseline. Choose a short test that can reveal the difference. Preserve the current scene and unrelated systems; inspect editor state before taking control, and coordinate if another agent is already using the same editor. Do not restart an active tool merely for a capture.

Build a fair comparison

Use the game's actual camera, lighting, materials and normal playback speed. Keep seed, subjects, route/action and framing comparable for OFF/ON or before/after captures. Record any unavoidable difference. A slow-motion close-up is useful diagnostic evidence, but it should not replace normal gameplay zoom.

A review lab should isolate the changed feature while retaining its production code path. Do not "fix" a comparison with a separate demonstration implementation. If synthetic input is needed, separate it from physical devices and restore the prior input settings afterward. Discard transient test orders rather than saving them into the authored scene.

Check appearance and behavior separately

For animation, inspect contact, seams, interrupted transitions and responsive controls. For VFX, inspect contrast, overlap, attachment and cleanup. For UI, inspect readability, overflow, input blocking and real state. For terrain, inspect scale, grounding, traversal and the gameplay camera.

Counters, hashes and saved values can prove wiring or unchanged inputs. They do not prove visual quality. A screenshot does not prove a timed transition, and a passing browser study does not prove native rendering cost. Measure the relevant system only, and keep unrelated sound/narration quiet during visual-only checks.

Show full SKILL.md (128 more words)Show less

Leave useful evidence

Record the source revision, saved configuration, exact scenario, capture type, observations and remaining issues. Label generated art, browser schematics, isolated engine previews and native gameplay clearly. A successful agent check does not imply the user accepted the result.

Provide short local loops or videos for motion and stills for detail. Keep the original capture and a lightweight review copy with provenance. Do not repeatedly recompress an already compressed delivery. Update the current specification when behavior changes; put chronological details in the development log.

Example: compare a shield impact OFF/ON on dark and pale ground with identical gameplay. Deliver the visible comparison plus cancellation and cleanup results; leave final aesthetic acceptance explicit. Dependencies: native engine access and a local capture method; a report viewer is optional.

© witnesstodark, 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 .agents/skills/gameplay-visual-review of witnesstodark/mr-mak-workspace.

Open the folder on GitHubat commit ee27994

Compare with similar skills

Gameplay Visual Review 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.

Gameplay Visual Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Gameplay Visual Review this skillwitnesstodark/mr-mak-workspace343—~720Automated safety check: PassMIT
Capturealirezarezvani/claude-skills28k1 repos~2.8kAutomated safety check: PassMIT
Control UIopenclaw/openclaw392k—~1.8kAutomated safety check: PassMIT
Control UI E2Eopenclaw/openclaw392k—~2.9kAutomated safety check: PassMIT
Monitoring Capture ServicePostHog/posthog40k—~5kAutomated safety check: PassCustom licence
Control D AutomationComposioHQ/awesome-claude-skills77k3 repos~738Automated safety check: PassNone

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Questions about Gameplay Visual Review

What does Gameplay Visual Review do?

Verify a visual game change using controlled native captures, targeted behavioral checks and a reviewable evidence record. Gameplay Visual Review is an agent skill from witnesstodark/mr-mak-workspace. Verify a visual game change using controlled native captures, targeted behavioral checks and a reviewable evidence record.

When should I use Gameplay Visual Review?

Gameplay Visual Review fits situations like: scene changes whose appearance must be judged in the actual game.

How do I install Gameplay Visual Review in Claude Code?

Run `npx skills add witnesstodark/mr-mak-workspace --skill gameplay-visual-review -a claude-code`. Or copy the skill folder (.agents/skills/gameplay-visual-review in witnesstodark/mr-mak-workspace) into .claude/skills/gameplay-visual-review in your project. Claude Code loads it when a task matches its description.

How do I install Gameplay Visual Review in Codex?

Run `npx skills add witnesstodark/mr-mak-workspace --skill gameplay-visual-review -a codex`. Or copy the skill folder (.agents/skills/gameplay-visual-review in witnesstodark/mr-mak-workspace) into .agents/skills/gameplay-visual-review in your project. Codex loads it when a task matches its description.

Can I use Gameplay Visual Review 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 witnesstodark/mr-mak-workspace --skill gameplay-visual-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gameplay-visual-review, .gemini/skills/gameplay-visual-review, .github/skills/gameplay-visual-review and .opencode/skills/gameplay-visual-review in your project.

What does Gameplay Visual Review need to run?

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

Does Gameplay Visual Review 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 Gameplay Visual Review 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 Gameplay Visual Review use?

Gameplay Visual Review 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 Gameplay Visual Review use?

About 720 tokens (SKILL.md is roughly 2.9k 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 Gameplay Visual Review?

Skills that share tags, products or a category with Gameplay Visual Review: Capture (alirezarezvani/claude-skills, 28k stars), Control UI (openclaw/openclaw, 392k stars), Control UI E2E (openclaw/openclaw, 392k stars) and Monitoring Capture Service (PostHog/posthog, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Gameplay Visual Review?

witnesstodark (a GitHub user) maintains it in witnesstodark/mr-mak-workspace, which has 343 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 8, 2026.

Source: witnesstodark/mr-mak-workspace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.