skills-benchmarks is a test suite that measures how the design of skill documentation affects Claude Code's adherence to recommended coding patterns. It is used to compare documentation approaches across LangChain-related tasks and other agent workflows. Its catalogue entries represent skills, hooks, instructions, and a plugin used in the benchmark project.
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 skills add langchain-ai/skills-benchmarks --skill testing_patternsgit clone --depth 1 https://github.com/langchain-ai/skills-benchmarksWrote 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/skills/langchain-ai/skills-benchmarks/testing_patterns)<a href="https://agentmods.dev/skills/langchain-ai/skills-benchmarks/testing_patterns"><img src="https://agentmods.dev/badge/skills/langchain-ai/skills-benchmarks/testing_patterns/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/skills/langchain-ai/skills-benchmarks/testing_patterns"><img src="https://agentmods.dev/badge/skills/langchain-ai/skills-benchmarks/testing_patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00011 | $0.00394 |
| Opus 5.5 | $0.00004 | $0.00158 |
| Sonnet 5.5 | $0.00002 | $0.00079 |
| Haiku 4.5 | $0.00001 | $0.00039 |
Grade A, and why
testing-patterns 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.
What it actually says
Testing Patterns
Write effective, maintainable tests using modern patterns.
Test Structure (AAA Pattern)
def test_user_registration():
# Arrange
user_data = {"email": "[email protected]", "password": "secure123"}
# Act
result = register_user(user_data)
# Assert
assert result.success is True
assert result.user.email == "[email protected]"
Mocking External Services
from unittest.mock import Mock, patch
@patch('services.email.send_email')
def test_sends_welcome_email(mock_send):
mock_send.return_value = True
register_user({"email": "[email protected]"})
mock_send.assert_called_once_with(
to="[email protected]",
template="welcome"
)
Fixtures and Factories
import pytest
from factories import UserFactory
@pytest.fixture
def user():
return UserFactory.create(role="admin")
@pytest.fixture
def authenticated_client(user):
client = TestClient(app)
client.login(user)
return client
def test_admin_dashboard(authenticated_client):
response = authenticated_client.get("/admin")
assert response.status_code == 200
Integration Tests
@pytest.mark.integration
def test_full_checkout_flow(db_session, stripe_mock):
# Create test data
user = create_user()
product = create_product(price=100)
# Execute flow
cart = add_to_cart(user, product)
order = checkout(cart, payment_method="card")
# Verify
assert order.status == "completed"
assert stripe_mock.charges.create.called
Test Coverage Goals
- Unit tests: 80%+ coverage
- Integration tests: Critical paths
- E2E tests: Happy paths only
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 · 86 lines · 11 tokens per session scan A f73828a8c53c
testing-patterns is a skill published in the GitHub repository langchain-ai/skills-benchmarks (118 stars, last pushed 1mo ago), licensed MIT. It adds 11 tokens to every session and 394 once invoked, about $0.0000 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 2026-08-30.
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