mocktail

mocktail is a skill for Claude Code, Codex from evanca/flutter-ai-rules. It costs 34 tokens per session (773 once invoked), scanned A, original, MIT.

A guide for using Mocktail, a Dart and Flutter library for creating test doubles at runtime. It explains mocks, fakes, stubbing, interaction checks, argument matchers, and registering fallback values for custom types.

In plain words
What is it for?
Use it when creating service mocks, configuring return values, verifying calls and arguments, registering fallback values, or deciding whether a real object or fake is better than a mock.
Why use it?
It helps isolate code during tests without writing generated mock classes. It also prevents common failures when matching non-nullable arguments or using mocks without the required fallback setup.

Skill for Claude CodeCodex

Part of the flutter-ai-skills plugin — 37 skills 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/evanca/flutter-ai-rules/mocktail
Any agent
npx skills add evanca/flutter-ai-rules --skill mocktail
Clone the repo
git clone --depth 1 https://github.com/evanca/flutter-ai-rules

Made for: Claude Code, Codex.

Or install flutter-ai-skills, the plugin that ships this one along with the rest of its 37 skills.

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 mocktail

README.md
[![agentmods](https://agentmods.dev/badge/skills/evanca/flutter-ai-rules/mocktail.svg)](https://agentmods.dev/skills/evanca/flutter-ai-rules/mocktail)
Your own site
<a href="https://agentmods.dev/skills/evanca/flutter-ai-rules/mocktail"><img src="https://agentmods.dev/badge/skills/evanca/flutter-ai-rules/mocktail.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 773 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 $0.00034 $0.00773
Opus 5 $0.00017 $0.00387
Sonnet 5 $0.00007 $0.00155
Haiku 4.5 $0.00003 $0.00077

Measured 4d ago against content hash 73034a7f151d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mocktail 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 4d 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.

skills/mocktail/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mocktail Skill

This skill defines how to correctly use the mocktail package for mocking in Dart and Flutter tests.


1. Mock vs. Fake vs. Real Object

Use When
Real object Prefer over mocks when practical.
Fake (extends Fake) Lightweight custom implementation; override only the methods you need. Prefer over mocks when you don't need interaction verification.
Mock (extends Mock) Only when you need to verify interactions (call counts, arguments) or stub dynamic responses.
  • Never add @override methods or implementations to a class extending Mock.
  • Only use mocks if your test has verify assertions; otherwise prefer real or fake objects.

2. Creating Mocks

class MockMyService extends Mock implements MyService {}
class FakeMyEvent extends Fake implements MyEvent {}

No code generation required — unlike Mockito, Mocktail uses noSuchMethod at runtime.


3. Registering Fallback Values

Register fallback values before using custom types with argument matchers. Do this in setUpAll or at the top of your test:

setUpAll(() {
  registerFallbackValue(FakeMyEvent());
});
  • Required for non-nullable custom types used with any(), captureAny(), or captureThat().
  • Register fallback values for any custom type used with argument matchers.

4. Stubbing

final mock = MockMyService();

// Return a value
when(() => mock.fetchData()).thenReturn('result');

// Throw an error
when(() => mock.fetchData()).thenThrow(Exception('error'));

// Dynamic/async response
when(() => mock.fetchData()).thenAnswer((_) async => 'result');

// Future<void>
when(() => mock.doWork()).thenAnswer((_) async {});
  • Always stub async methods (returning Future or Future<void>) with thenAnswer.
  • Stub every method you expect to be called, even if it's not the focus of your test.

5. Named Parameters

Always include all named parameters in both when and verify calls. Use any(named: 'paramName') for those you don't care about:

Read the full file on GitHub · 120 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. 4d ago First seen · 120 lines · 34 tokens per session scan A 73034a7f151d

Subscribe to this mod's changes

mocktail is a skill published in the GitHub repository evanca/flutter-ai-rules (629 stars, last pushed 4d ago), licensed MIT. It adds 34 tokens to every session and 773 once invoked, about $0.0002 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 2026-08-30.

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