Data Formulator is an interactive workspace where AI agents connect to data sources, answer questions, and create visualizations. It is used to explore and analyze data while branching into related questions without losing the context of each investigative path.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/microsoft/data-formulatornpx agentmods add rules/microsoft/data-formulator/frontend-test-conventionsWrote 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/rules/microsoft/data-formulator/frontend-test-conventions)<a href="https://agentmods.dev/rules/microsoft/data-formulator/frontend-test-conventions"><img src="https://agentmods.dev/badge/rules/microsoft/data-formulator/frontend-test-conventions/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/rules/microsoft/data-formulator/frontend-test-conventions"><img src="https://agentmods.dev/badge/rules/microsoft/data-formulator/frontend-test-conventions.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 | $0.00000 | $0.00545 |
| Opus 5.5 | $0.00000 | $0.00218 |
| Sonnet 5.5 | $0.00000 | $0.00109 |
| Haiku 4.5 | $0.00000 | $0.00055 |
Grade A, and why
frontend-test-conventions 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Test Conventions
File Location & Naming
- Place tests under
tests/frontend/unit/mirroring thesrc/structure:tests/frontend/unit/data/→ tests forsrc/data/tests/frontend/unit/app/→ tests forsrc/app/tests/frontend/unit/views/→ tests forsrc/views/
- Name files
<functionOrFeature>.test.ts(or.test.tsxfor React rendering tests).
File Structure
import { describe, it, expect } from 'vitest';
// For React rendering tests:
// import { render } from '@testing-library/react';
import { myFunction } from '../../../../src/<path>';
describe('myFunction', () => {
it('should handle <specific case>', () => {
expect(myFunction(input)).toBe(expected);
});
});
Conventions
- Import
describe,it,expectexplicitly fromvitest(globals are enabled but explicit imports improve readability). - Use
@testing-library/reactand@testing-library/jest-domfor component rendering tests. - Prefer testing exported pure functions over testing internal component state.
- When component logic is complex, extract it into an exported helper and test that directly.
- Group tests with
describeblocks; use section comments (// --- Null cases ---) for clarity. - One assertion per
itblock when possible; name tests asshould <expected behavior>. - Do not import from
node_modulesinternals; only use public API. - Keep tests independent — no shared mutable state between
itblocks.
Example
// ❌ BAD – no describe, vague test name
import { expect, test } from 'vitest';
test('works', () => { expect(fn(1)).toBe(2); });
// ✅ GOOD
import { describe, it, expect } from 'vitest';
import { checkIsLikelyTextOnlyModel } from '../../../../src/views/DataLoadingThread';
describe('checkIsLikelyTextOnlyModel', () => {
it('returns true for deepseek-chat', () => {
expect(checkIsLikelyTextOnlyModel('deepseek-chat')).toBe(true);
});
it('returns false for undefined', () => {
expect(checkIsLikelyTextOnlyModel(undefined)).toBe(false);
});
});
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 · 65 lines · 0 tokens per session scan A 99cb6522c013
frontend-test-conventions is a cursor rule published in the GitHub repository microsoft/data-formulator (17,610 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 545 tokens. 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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