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 skills/el-feo/ai-context/javascript-unit-testingnpx skills add el-feo/ai-context --skill javascript-unit-testinggit clone --depth 1 https://github.com/el-feo/ai-contextWhat 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 | $0.00093 | $0.02473 |
| Opus 5 | $0.00046 | $0.01236 |
| Sonnet 5 | $0.00019 | $0.00495 |
| Haiku 4.5 | $0.00009 | $0.00247 |
Grade A, and why
javascript-unit-testing scanned grade A with 1 finding 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 yesterday.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
const resp = await fetch(url); How it starts
The opening of the file, as written. The whole thing — 362 lines — stays where its author put it; the contents beside it link to each section on GitHub.
JavaScript Unit Testing
Expert guidance for writing maintainable, trustworthy unit tests in JavaScript and TypeScript using Jest. Based on "The Art of Unit Testing, Third Edition" by Roy Osherove with Vladimir Khorikov (Manning, 2024).
Instructions
When helping users with unit testing:
- Understand the context: Identify if they're writing new tests, fixing existing ones, or learning concepts
- Apply core principles: Focus on readability, maintainability, and trust in tests
- Use appropriate patterns: Select the right testing pattern based on exit point type (return value, state change, or third-party call)
- Provide examples: Show concrete code examples following best practices
- Reference supporting documentation: Point to references/REFERENCE.md for detailed concepts and references/EXAMPLES.md for more code samples
Core Concepts
Unit of Work
A unit of work is all actions between an entry point (function/method we trigger) and one or more exit points (observable results).
Three types of exit points:
- Return value - Function returns a useful value
- State change - Observable change in system state
- Third-party call - Calling external dependency (logger, database, API)
Good Unit Test Properties
Must have:
- Fast execution (milliseconds)
- Fully isolated from other tests
- Consistent results (no flakiness)
- Runs in memory (no filesystem, network, database)
- Clear intent and easy to read
Avoid:
- Logic in tests (if/else, loops, try/catch)
- Multiple concerns per test
- Shared state between tests
- Testing implementation details vs behavior
Quick Start: Writing Your First Test
Basic Test Structure (AAA Pattern)
test('sum with two numbers returns their sum', () => {
// Arrange - set up test data
const input = '1,2';
// Act - call the unit of work
const result = sum(input);
// Assert - verify the outcome
expect(result).toBe(3);
});
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 362 lines · 93 tokens per session scan A 40f987e190b5
javascript-unit-testing is a skill published in the GitHub repository el-feo/ai-context (12 stars, last pushed 1mo ago), licensed MIT. It adds 93 tokens to every session and 2,473 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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