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False Green Tests

OrganizationPopular
reticlehq
false-green-tests

Find out why the tests pass but the app is broken. Catches false greens: a green suite over a feature that does not work, a mocked API standing in for a real one, an assertion that holds no matter what the app does, a click handler wired to nothing. Use when the suite is green and the user says it is broken, when a test never fails, when coverage looks fine but bugs still ship, or before trusting a passing run you did not watch.

Overview

Publisherreticlehq
Repositoryreticle
Skill namefalse-green-tests
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 False Green Tests 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/false-green-tests
  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/false-green-tests .claude/skills/false-green-tests
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable False Green Tests 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 False Green Tests 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 False Green Tests 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 suite is green and the app is broken

A green test is evidence about the test, not about the app. This skill separates the two by running the real app and comparing what it does against what the test claims.

It uses Reticle, which observes the running app from the inside: DOM, network, console, routing, and framework state. Not installed? RETICLE_INSTALL_SOURCE=npx_skill npx @reticlehq/server@latest init, then see the install-and-verify skill.

The five shapes, in the order they are worth checking

1. The assertion cannot fail. Read the test the user trusts. If it only asserts absence (no console error, no thrown exception, no rejected promise) it passes on a control wired to nothing. A dead button throws nothing, fires nothing, and changes nothing. Prove it in the app instead:

reticle_act_and_wait({ sessionId, ref, action: "click", until: { kind: "allOf", predicates: [
  { kind: "net",    method: "POST", urlContains: "/api/...", status: 200 },
  { kind: "signal", name: "..." },
]}})

A verdict of no here, against a green suite, is the false green.

2. The test drove a mock and the app drives an API. Compare what the app actually requested with what the test stubbed:

reticle_observe({ action: "network", sessionId, since })

No request where the test asserted one means the suite verified a fixture. A stale client cache is the same failure with no request at all to look at, which is why registering TanStack Query matters: the cache is the only witness.

3. The UI moved and the state did not. The strongest false green, and invisible to any DOM or screenshot check:

reticle_look({ action: "state", sessionId, store, path })

A view rendering one value while the store holds another is a bug the render tree cannot show you. If this returns empty or hasCapabilities is false, no store was registered: say so, because every state check above is vacuous until it is.

4. Nobody read the response. A 2xx that the app never consumed shows as verified: "unknown" with verifiedReason: "outcome_unread". That is usually a real app bug, and a test asserting on the request alone would call it a pass.

5. Whole surfaces nobody exercised.

reticle_run({ tool: "reticle_verify", sessionId, args: { action: "crawl" } })      // click sweep, returns anomalies
reticle_run({ tool: "reticle_verify", sessionId, args: { action: "coverage" } })   // { total, exercised, untouched }

crawl exists because the obvious hand-rolled sweep (click each control, assert no console error) is itself shape 1.

What counts as proof

A false green is confirmed when the app contradicts the test, not when you feel uneasy. Reticle names that case directly: verified: "no" with verifiedReason: "contradicted" means a channel observed something incompatible with what the UI claimed: a request that failed while the screen advanced, a signal disagreeing with the DOM, a field echoing a value nobody asked for.

unknown is not a false green and not a pass. It means Reticle could not tell. Report it as unknown.

Then fix the test, not just the app

For every false green you confirm, the test that missed it is still there and will miss it again. Rewrite its assertion to name a consequence the app must produce (a request with a status, a signal, a state path) rather than an absence. Never weaken a check to make a verdict green; that is how the false green got in.


Index of everything, one page at a time: curl https://docs.reticle.sh/llms.txt. Found a case Reticle could not see? reticle_session { action: "feedback" } with kind: "gap": that is the signal that decides what gets built.

Frequently asked questions

What does the False Green Tests AI skill do?

Find out why the tests pass but the app is broken. Catches false greens: a green suite over a feature that does not work, a mocked API standing in for a real one, an assertion that holds no matter what the app does, a click handler wired to nothing. Use when the suite is green and the user says it is broken, when a test never fails, when coverage looks fine but bugs still ship, or before trusting a passing run you did not watch.

Why use False Green Tests on TypingMind?

Because you install it once and use it with any model. False Green Tests 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 False Green Tests in TypingMind?

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

Which AI models can use False Green Tests?

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 False Green Tests?

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

Is the False Green Tests 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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