Test Error States logo

Test Error States

OrganizationPopular
reticlehq
test-error-states

Force the states a happy-path run never reaches (a failing API, an empty list, a slow request, a timeout, an expired session, a toast that auto-dismisses) and check the UI actually handles them. Use when error handling was written but never run, when a loading or empty state needs verifying, when a bug only happens on a slow connection, or when a timer, poll, debounce or retry needs testing without sleeping.

Overview

Publisherreticlehq
Repositoryreticle
Skill nametest-error-states
Stars
1.2K
Forks
176
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by reticlehq on GitHub. Read the source before you install it.

Installation

Install the Test Error States AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/reticlehq/reticle/tree/main/skills/test-error-states
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/reticlehq/reticle.git /tmp/reticle
mkdir -p .claude/skills
cp -r /tmp/reticle/skills/test-error-states .claude/skills/test-error-states
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Test Error States in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Test Error States on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Test Error States is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

The error state has never run

Every app has a catch block nobody has executed and an empty state nobody has seen. They are written from imagination, shipped untested, and discovered by a user on a bad day.

Reticle can force those conditions in the running app. Not installed? RETICLE_INSTALL_SOURCE=npx_skill npx @reticlehq/server@latest init, then the install-and-verify skill.

Read this before you start: network mocking needs a driven or leased browser

reticle_network_mock intercepts requests in a browser Reticle owns, and the always-on SDK cannot do it. A connected tab with neither reticle drive nor a lease still returns { ok: false, reason: "no-cdp-provider" }.

Your route is a leased Playwright tab (reticle_run { tool: "reticle_lease", args: { action: "acquire", url } }) or RETICLE_CDP_URL pointed at a Chrome started with remote debugging:

bash
# macOS — the user runs this once, in their own Chrome
/Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome --remote-debugging-port=9222

RETICLE_CDP_URL=http://localhost:9222 npx @reticlehq/server@latest mcp

If you have neither a lease nor a driven browser, say so in one line and offer the clock half of this skill anyway: reticle_clock needs none of it. What you may not do is drive the happy path, watch it pass, and report that error handling works.

Force a failure

reticle_run({ tool: "reticle_network_mock", sessionId, args: {
  mocks: [{ urlContains: "/api/deploys", status: 500 }],
}})

Then drive the flow and name the recovery you expect before you act:

reticle_act_and_wait({ sessionId, ref, action: "click", until: { kind: "allOf", predicates: [
  { kind: "element", query: { testid: "error-banner" } },
  { kind: "console", level: "error", absent: true },
]}})

Note the second predicate. A UI that "handles" an error by logging an uncaught exception has not handled it. Clear mocks with { clear: true } when you are done, or every later check runs against a lie.

Worth forcing, in rough order of how often they are broken: 500, a 4xx with a real error body, an empty 200 ([], the empty state), a malformed payload, and a request that never resolves (the spinner that spins forever).

Skip time instead of sleeping

reticle_run({ tool: "reticle_clock", args: { sessionId, freeze: true } })
reticle_run({ tool: "reticle_clock", args: { sessionId, advanceMs: 5000 } })
reticle_run({ tool: "reticle_clock", args: { sessionId, reset: true } })

Toasts that auto-dismiss, debounced search, polling, session timeouts, retry backoff. All of these are normally verified by sleeping, which is slow and flaky in equal measure. A timing assertion is a statement about the machine, so it passes on your laptop and fails in CI.

Freeze, advance by exactly the interval, assert the consequence. Same result on a fast laptop and a loaded runner. Always reset when you finish, or a frozen clock silently breaks everything that runs after you.

What to assert

The recovery, not the absence of a crash:

  1. The error is shown to the user: a specific element, not just "the page did not blank".
  2. The app stayed usable: retry works, the form still has its input, navigation is not stuck.
  3. State is honest: reticle_look { action: "state" } shows the failure, not a half-applied optimistic update. A UI that rolled back visually while the store kept the optimistic value is the classic bug here, and only the store read finds it.
  4. No uncaught error in the console.

Honesty

Mocking changes the app's world, so a verdict taken under a mock is a statement about the mocked condition and nothing else. Say which mock was active when you report a pass, and clear every mock and reset the clock before handing back. An audit that leaves a 500 pinned on /api/deploys breaks the next person's session and looks like a real outage.


Capability reference: curl https://docs.reticle.sh/capabilities.md. Everything else: curl https://docs.reticle.sh/llms.txt.

Frequently asked questions

What does the Test Error States AI skill do?

Force the states a happy-path run never reaches (a failing API, an empty list, a slow request, a timeout, an expired session, a toast that auto-dismisses) and check the UI actually handles them. Use when error handling was written but never run, when a loading or empty state needs verifying, when a bug only happens on a slow connection, or when a timer, poll, debounce or retry needs testing without sleeping.

Why use Test Error States on TypingMind?

Because you install it once and use it with any model. Test Error States is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Test Error States in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/reticlehq/reticle/tree/main/skills/test-error-states. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Test Error States?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Test Error States?

As many as you like. As long as a model supports skills, you can use Test Error States with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Test Error States AI skill free?

Yes. It is published on GitHub by reticlehq under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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