Borrowing it
Nothing to install: this file belongs to MarcelRoozekrans/AgenticAI. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/MarcelRoozekrans/AgenticAI/main/.github/instructions/testing.instructions.mdgit clone --depth 1 https://github.com/MarcelRoozekrans/AgenticAIWrote 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/marcelroozekrans/agenticai/testing)<a href="https://agentmods.dev/instructions/marcelroozekrans/agenticai/testing"><img src="https://agentmods.dev/badge/instructions/marcelroozekrans/agenticai/testing/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/marcelroozekrans/agenticai/testing"><img src="https://agentmods.dev/badge/instructions/marcelroozekrans/agenticai/testing.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00622 | $0.00622 |
| Opus 5.5 | $0.00249 | $0.00249 |
| Sonnet 5.5 | $0.00124 | $0.00124 |
| Haiku 4.5 | $0.00062 | $0.00062 |
Grade A, and why
AgenticAI 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 1mo 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Testing Guidelines
Test Structure
Naming Convention
Use descriptive test names that explain what is being tested:
describe('UserService', () => {
describe('createUser', () => {
it('should create a user with valid input', () => {});
it('should throw error when email is invalid', () => {});
it('should hash password before saving', () => {});
});
});
AAA Pattern
Follow Arrange-Act-Assert pattern:
// Arrange - Set up test data and conditions
const user = createTestUser();
// Act - Execute the code being tested
const result = await userService.createUser(user);
// Assert - Verify the expected outcome
expect(result.id).toBeDefined();
Test Types
Unit Tests
- Test individual functions/methods in isolation
- Mock all external dependencies
- Fast execution (milliseconds)
- High coverage of business logic
Integration Tests
- Test component interactions
- Use test databases or containers
- Verify API contracts
- Test database operations
End-to-End Tests
- Test complete user flows
- Run against staging environment
- Verify critical business paths
- Keep count minimal (expensive to maintain)
- When applicable: Feature that involves multiple components interacting
- Examples:
- User signup → email confirmation → login → access dashboard
- Create order → payment → confirmation email → inventory update
- Upload file → processing → notification → download
Best Practices
Do's
- Test behavior, not implementation
- Keep tests independent (no shared state)
- Use descriptive assertion messages
- Clean up test data after each test
- Use factories for test data creation
Don'ts
- Don't test framework/library code
- Don't use production data in tests
- Don't write flaky tests
- Don't skip tests without documentation
- Don't test private methods directly
Mocking Guidelines
- Mock at the boundary (API, database, external services)
- Verify mock interactions when relevant
- Reset mocks between tests
- Use type-safe mocks when possible
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.
- 1mo ago First seen · 107 lines · 622 tokens per session scan A 759fd86950ee
AgenticAI testing.instructions.md is an instructions file published in the GitHub repository MarcelRoozekrans/AgenticAI (1 stars, last pushed 6mo ago), licensed MIT. It adds 622 tokens to every session, about $0.0025 per session on Opus 5.5. 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.