Agent skill

Threejs QA Release

by valkor-ai in valkor-ai/loom

Verify and release Three.js browser games: playtest QA, automated bot playtests, mobile and responsive checks, production builds, static-hosting base paths, debug gating, bundle review, screenshots…

Apache-2.0Auto-check passedGame Development

Install Threejs QA Release

skills CLI
$ npx skills add valkor-ai/loom --skill threejs-qa-release -a claude-code

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

GitHub CLI
$ gh skill install valkor-ai/loom threejs-qa-release --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/valkor-ai/loom.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/shared/loom/skills/threejs/threejs-qa-release .claude/skills/threejs-qa-release && 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
threejs-qa-release
GitHub stars
1.2k
Used in
1 other repo
Token cost
~1.3k tokens
SKILL.md length
612 words
Files
6 (incl. scripts, references)
Skills in repo
17
Repo updated
First seen
Licence
Apache-2.0

At a glance

Verify and release Three.js browser games: playtest QA, automated bot playtests, mobile and responsive checks, production builds, static-hosting base paths, debug gating, bundle review, screenshots…

  • Works in 10 steps: Install dependencies, run build and… → Open the browser target and capture… → Confirm non-blank, visually varied… → …
  • Tasks that involve 3D graphics and WebGL
  • SKILL.md covers References, QA pass, Canvas inspector and Release pass, plus 1 more section
  • Runs JavaScript scripts from its folder; calls node and npm

What it does

Threejs QA Release is an agent skill from valkor-ai/loom. Verify and release Three.js browser games: playtest QA, automated bot playtests, mobile and responsive checks, production builds, static-hosting base paths, debug gating, bundle review, screenshots, visual regression baselines, canvas-pixel inspection with measured metrics, and release risk reports.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/playtest-bot.md` and `references/release-checks.md`).

It sits in Game Development, covering 3D graphics and WebGL and Visual regression testing. It works with Three.js. The repository describes itself as: Loop engineering for agentic software delivery. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve 3D graphics and WebGL
  • Tasks that involve Visual regression testing

Example prompts

  • “/threejs-qa-release”

Requirements

  • Node.js

Workflow steps

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

  1. Install dependencies, run build and typecheck, start the dev or preview server.
  2. Open the browser target and capture console, page, and network errors.
  3. Confirm non-blank, visually varied canvas pixels.
  4. Capture active play on each target viewport (desktop and mobile by default), not just the title screen.
  5. Exercise the main input, objective progression, fail and retry, and whatever changed most recently.
  6. Check HUD text fit, safe areas, touch targets, and responsive layout.
  7. When audio changed: user-gesture unlock, SFX triggers, ambience loop start and stop, pause and restart cleanup, mute and volume, decode…
  8. Decide on a visual test harness. For premium, release-ready, UI-heavy, or generated-asset work a harness is usually worth it; say so…
  9. Run the bot playtest (tests/bot-playtest.template.ts in scaffold games) for release-ready gameplay claims and report its metrics JSON.
  10. When animation changed, capture a short unpaused sequence and inspect locomotion, clip transitions, feet, rig deformation, and…

What it can do on your machine

Read from SKILL.md and the folder at commit a30a7e6. 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

    Ships 1 file in scripts/ (JavaScript), which the agent can run.

    Shell commands in SKILL.md call:

    • node
    • npm

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

  • Network

    No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.

    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

Threejs QA Release loads about 1.3k tokens when it runs, and up to ~4.5k if it reads all its reference files. Until then it costs about 80 tokens; SKILL.md has 612 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.5k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from valkor-ai/loom at commit a30a7e6, republished under its Apache-2.0 licence (© valkor-ai). 612 words, ~1,253 tokens.

Download SKILL.mdSave it as .claude/skills/threejs-qa-release/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
threejs-qa-release
description
Verify and release Three.js browser games: playtest QA, automated bot playtests, mobile and responsive checks, production builds, static-hosting base paths, debug gating, bundle review, screenshots, visual regression baselines, canvas-pixel inspection with measured metrics, and release risk reports.

Three.js QA Release

Prove the game works the way a player will meet it, then prepare a shippable build with its known risks.

Resolve <this-skill-dir> and local references from the actual loaded skill file; resolve sibling skills beside it before using runner-discovered alternatives. Run the inspector from the game project with its npm dependencies installed.

References

FileRead it when
references/release-checks.mdmobile verification, production release, performance evidence, or release-failure traps
references/visual-test-harness.mdscreenshot baselines, visual regression, UI or generated-asset regression protection
references/playtest-bot.mdrelease-ready gameplay claims, difficulty and fairness checks, or a loop never driven by scripted input

QA pass

For a complete game use the full pass below. For narrow edits select checks covering the affected behavior, states, and target viewports. Reuse valid specialist evidence from the same code revision; the lead owns one consolidated pass. Repeat only after relevant changes, failures, or unresolved concerns. An explicit desktop-only scope does not require adding mobile gameplay.

  1. Install dependencies, run build and typecheck, start the dev or preview server.
  2. Open the browser target and capture console, page, and network errors.
  3. Confirm non-blank, visually varied canvas pixels.
  4. Capture active play on each target viewport (desktop and mobile by default), not just the title screen.
  5. Exercise the main input, objective progression, fail and retry, and whatever changed most recently.
  6. Check HUD text fit, safe areas, touch targets, and responsive layout.
  7. When audio changed: user-gesture unlock, SFX triggers, ambience loop start and stop, pause and restart cleanup, mute and volume, decode errors.
  8. Decide on a visual test harness. For premium, release-ready, UI-heavy, or generated-asset work a harness is usually worth it; say so either way.
  9. Run the bot playtest (tests/bot-playtest.template.ts in scaffold games) for release-ready gameplay claims and report its metrics JSON.
  10. When animation changed, capture a short unpaused sequence and inspect locomotion, clip transitions, feet, rig deformation, and attack/contact timing using references/visual-test-harness.md.

Screenshots alone do not cover gameplay changes.

Show full SKILL.md (288 more words)Show less

Canvas inspector

bash
node <this-skill-dir>/scripts/inspect-threejs-canvas.mjs --url http://127.0.0.1:5188 --state active-play --run-id pass-1

--mobile selects mobile emulation. --state <name> (with optional --seed <n>) awaits the game's test hooks before capture. The state hook must acknowledge { state: name }, and setPausedForScreenshot must stop simulation immediately while rendering continues. Capture freezes the acknowledged state before settling; the complete preparation phase has a timeout. Missing hooks, no-op results, unknown states, and mismatched acknowledgements fail. Reports retain state and add requestedState, appliedState, and runId. Scaffold games have their own copy plus npm run inspect:canvas.

Use a fresh --run-id for each verification pass and a separate --out directory. Declare expected viewport/state pairs before capture in the director's references/evidence-manifest.md format, then run its checker with --manifest. Include all requested states; do not remove a failing slot to make the manifest pass. Omitting --state performs only a current-view canvas check.

The JSON carries a metrics block (color entropy, edge density, luminance contrast, dominant-color share) and a renderBudget comparison against tier budgets. These are the Measured Evidence for the visual scorecard in threejs-aaa-graphics-builder/references/visual-scorecard.md; over-budget rows need a documented tradeoff, and blank-canvas or error conditions exit non-zero.

Release pass

Inspect package scripts, Vite config, base path, and public assets → gate debug UI, logging, and test helpers → run the production build and preview it on a static server → check the built output on target viewports → review bundle and large assets → document the deploy command, host assumptions, and residual risks.

Report

Lead with the result and unresolved defects. Put the detailed commands, manifest, captures, motion evidence, controls exercised, issues fixed, and deployment notes in the project's evidence report. Include the harness decision and bot metrics when in scope. Return the artifact path to the lead; passing pixels and acknowledged state hooks do not establish aesthetic quality or successful gameplay by themselves.

© valkor-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, references) in plugins/shared/loom/skills/threejs/threejs-qa-release of valkor-ai/loom.

  • SKILL.md
  • agents/openai.yaml
  • references/playtest-bot.md
  • references/release-checks.md
  • references/visual-test-harness.md
  • scripts/inspect-threejs-canvas.mjs

Open the folder on GitHubat commit a30a7e6

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in valkor-ai/loom, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Threejs QA Release 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.

Threejs QA Release compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Threejs QA Release this skillvalkor-ai/loom1.2k1 repos~1.3kAutomated safety check: PassApache-2.0
Threejs QA Releasemintdotgg/mint-threejs-skills114—~856Automated safety check: PassMIT
Ship Web Gamesnirholas/three.ws2281 repos~284Automated safety check: PassApache-2.0
Image to Three.js Modelimg2threejs/img2threejs18k1 repos~8.2kAutomated safety check: PassApache-2.0
Web CloneJane-xiaoer/claude-skill-web-clone1k1 repos~2.7kAutomated safety check: PassMIT
Threejs Game Directormajidmanzarpour/threejs-game-skills2.5k—~2.2kAutomated safety check: PassMIT

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Works with

Questions about Threejs QA Release

What does Threejs QA Release do?

Verify and release Three.js browser games: playtest QA, automated bot playtests, mobile and responsive checks, production builds, static-hosting base paths, debug gating, bundle review, screenshots…. Threejs QA Release is an agent skill from valkor-ai/loom.js browser games: playtest QA, automated bot playtests, mobile and responsive checks, production builds, static-hosting base paths, debug gating, bundle review, screenshots, visual regression baselines, canvas-pixel inspection with measured metrics, and release risk reports.

When should I use Threejs QA Release?

Threejs QA Release fits situations like: tasks that involve 3D graphics and WebGL; tasks that involve Visual regression testing.

How do I install Threejs QA Release in Claude Code?

Run `npx skills add valkor-ai/loom --skill threejs-qa-release -a claude-code`. Or copy the skill folder (plugins/shared/loom/skills/threejs/threejs-qa-release in valkor-ai/loom) into .claude/skills/threejs-qa-release in your project. Claude Code loads it when a task matches its description.

How do I install Threejs QA Release in Codex?

Run `npx skills add valkor-ai/loom --skill threejs-qa-release -a codex`. Or copy the skill folder (plugins/shared/loom/skills/threejs/threejs-qa-release in valkor-ai/loom) into .agents/skills/threejs-qa-release in your project. Codex loads it when a task matches its description.

Can I use Threejs QA Release 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 valkor-ai/loom --skill threejs-qa-release -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/threejs-qa-release, .gemini/skills/threejs-qa-release, .github/skills/threejs-qa-release and .opencode/skills/threejs-qa-release in your project.

What does Threejs QA Release need to run?

Going by SKILL.md and its folder, Threejs QA Release needs JavaScript for the scripts in its folder and the command-line tools its instructions call (node and npm). Our summary lists: Node.js.

Does Threejs QA Release access the network?

SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Threejs QA Release 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Threejs QA Release use?

Threejs QA Release is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Threejs QA Release use?

About 1.3k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.2k tokens, read only when the agent opens those files.

What are the alternatives to Threejs QA Release?

Skills that share tags, products or a category with Threejs QA Release: Threejs QA Release (mintdotgg/mint-threejs-skills, 114 stars), Ship Web Games (nirholas/three.ws, 228 stars), Image to Three.js Model (img2threejs/img2threejs, 18k stars) and Web Clone (Jane-xiaoer/claude-skill-web-clone, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Threejs QA Release?

valkor-ai (a GitHub organization) maintains it in valkor-ai/loom, which has 1,211 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 6, 2026.

Source: valkor-ai/loom on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.