test-layer-selection

test-layer-selection is a skill for Claude Code, Codex from kamiazya/whiteboard. It costs 87 tokens per session (2,209 once invoked), scanned A, original, Apache-2.0.

A guide for choosing the smallest suitable test layer in the whiteboard codebase. It explains when to use unit-like tests, browser tests, or end-to-end tests based on what could break.

In plain words
What is it for?
Use it when writing a failing test or deciding whether a change needs server, component, real-browser, or end-to-end coverage.
Why use it?
It helps developers isolate failures with focused tests instead of using slow, broad tests for every change.

Skill for Claude CodeCodex

Part of the whiteboard plugin — 19 skills, 18 agents, 3 hooks, 1 MCP server shipped together

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/kamiazya/whiteboard/test-layer-selection
Any agent
npx skills add kamiazya/whiteboard --skill test-layer-selection
Clone the repo
git clone --depth 1 https://github.com/kamiazya/whiteboard

Made for: Claude Code, Codex.

Or install whiteboard, the plugin that ships this one along with the rest of its 19 skills, 18 agents, 3 hooks, 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 test-layer-selection

README.md
[![agentmods](https://agentmods.dev/badge/skills/kamiazya/whiteboard/test-layer-selection.svg)](https://agentmods.dev/skills/kamiazya/whiteboard/test-layer-selection)
Your own site
<a href="https://agentmods.dev/skills/kamiazya/whiteboard/test-layer-selection"><img src="https://agentmods.dev/badge/skills/kamiazya/whiteboard/test-layer-selection.svg" alt="Measured on agentmods" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,209 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 $0.00087 $0.02209
Opus 5 $0.00044 $0.01104
Sonnet 5 $0.00017 $0.00442
Haiku 4.5 $0.00009 $0.00221

Measured 2d ago against content hash e23907d0fa11, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

test-layer-selection 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 2d 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.

.claude/skills/test-layer-selection/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Test Layer Selection

Start with the smallest failing test at the nearest layer. Do not jump to broad E2E if a smaller failing test can isolate the bug.

Layer Use for Command
mcp-node pure functions, stores, routes, server behavior, persistence logic in packages/mcp-server pnpm test --project mcp-node
canvas-viewer-node pure parsing/serialization logic in packages/canvas-viewer with no DOM dependency pnpm test --project canvas-viewer-node
canvas-viewer-jsdom packages/canvas-viewer components/hooks when browser layout & pointer behavior are NOT the core risk pnpm test --project canvas-viewer-jsdom
canvas-viewer-browser packages/canvas-viewer popovers, dialogs, scroll, focus, keyboard, pointer, restore flows (real browser) pnpm test --project canvas-viewer-browser
web-jsdom React components/hooks in apps/web when browser layout & pointer behavior are NOT the core risk pnpm test:web-jsdom (jsdom project only) or pnpm --filter @kamiazya/whiteboard-web test (what CI runs: jsdom + web-node)
web-browser apps/web tests needing real browser APIs jsdom lacks: IndexedDB, OPFS, window.showOpenFilePicker. File suffix .browser.test.tsx part of pnpm test:browser
E2E real routes, server composition, websocket timing, persistence order, multi-step page flows promote only when needed

Notes:

  • Browser suites together: pnpm run test:browser (canvas-viewer-browser + web-browser + canvas-render-browser); traces land under <package>/tmp/vitest-traces and are kept for FAILING tests only. That trace carries the action log, stacks and screenshots but no DOM view — recording the DOM means recording every resource vite served (302MB against 7.5MB on apps/web's 16 page files; 23GB over a whole run). pnpm run test:browser:trace turns it on, and traces every test including passing ones, so point it at the one failing file.
  • After the targeted test passes, run the broader suite covering the touched area, then pnpm test.
  • Runtime is the source of truth: if behavior disagrees with a test, fix the test or implementation to match real behavior.
  • Passing tests alone are not sufficient — manually verify the real behavior (Playwright/Chrome MCP) before locking the scenario into regression coverage.

Read the full file on GitHub · 118 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. 2d ago Changed · +56 lines e23907d0fa11
  2. 5d ago First seen · 62 lines · 87 tokens per session scan A 499d45835f28

Subscribe to this mod's changes

test-layer-selection is a skill published in the GitHub repository kamiazya/whiteboard (6 stars, last pushed today), licensed Apache-2.0. It adds 87 tokens to every session and 2,209 once invoked, about $0.0004 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.

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