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.
npx agentmods add instructions/shuchitajain/awesome-ai-setup/testinggit clone --depth 1 https://github.com/shuchitajain/awesome-ai-setupWrote 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.
[](https://agentmods.dev/instructions/shuchitajain/awesome-ai-setup/testing)<a href="https://agentmods.dev/instructions/shuchitajain/awesome-ai-setup/testing"><img src="https://agentmods.dev/badge/instructions/shuchitajain/awesome-ai-setup/testing.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.01712 | $0.01712 |
| Opus 5 | $0.00856 | $0.00856 |
| Sonnet 5 | $0.00342 | $0.00342 |
| Haiku 4.5 | $0.00171 | $0.00171 |
Grade A, and why
awesome-ai-setup testing.instructions.md 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Testing Conventions
These conventions apply to all test code in test/.
Test Structure
Mirror the lib/ structure in test/:
test/
├── features/
│ ├── tasks/
│ │ ├── data/
│ │ │ ├── datasources/
│ │ │ │ └── task_remote_datasource_test.dart
│ │ │ └── repositories/
│ │ │ └── task_repository_impl_test.dart
│ │ ├── domain/
│ │ │ └── usecases/
│ │ │ ├── get_tasks_test.dart
│ │ │ └── create_task_test.dart
│ │ └── presentation/
│ │ ├── screens/
│ │ │ └── task_list_screen_test.dart
│ │ └── providers/
│ │ └── task_list_provider_test.dart
├── core/
│ └── ...
└── helpers/
├── mock_factories.dart # shared mock creation
└── test_helpers.dart # shared pump helpers
Test Naming
// File naming - matches source file with _test suffix
// task_list_provider.dart → task_list_provider_test.dart
// Group structure - describe the subject
group('TaskListProvider', () {
// Subgroup for specific behaviors
group('build', () {
test('returns empty state when user has no tasks', () async { ... });
test('returns tasks sorted by due date', () async { ... });
test('emits error state when repository throws', () async { ... });
});
group('createTask', () {
test('adds task to list on success', () async { ... });
test('reverts to previous state on failure', () async { ... });
});
});
Test names should read as complete sentences: "returns empty state when user has no tasks".
Mocking Strategy
Mock at the repository layer. Do not mock data sources in widget tests or provider tests. Repository mocks are the correct abstraction level for testing business logic and UI.
// Correct - mock the repository interface
class MockTaskRepository extends Mock implements TaskRepository {}
// Wrong - mocking too deep for a widget test
class MockTaskRemoteDataSource extends Mock implements TaskRemoteDataSource {}
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.
- 3d ago First seen · 266 lines · 1,712 tokens per session scan A 5debd6380d48
awesome-ai-setup testing.instructions.md is an instructions file published in the GitHub repository shuchitajain/awesome-ai-setup (5 stars, last pushed 3mo ago), licensed MIT. It adds 1,712 tokens to every session, about $0.0086 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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