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 ils15/pantheon-legacy --skill test-architecturegit clone --depth 1 https://github.com/ils15/pantheon-legacyWrote 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/ils15/pantheon-legacy/test-architecture)<a href="https://agentmods.dev/skills/ils15/pantheon-legacy/test-architecture"><img src="https://agentmods.dev/badge/skills/ils15/pantheon-legacy/test-architecture/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/ils15/pantheon-legacy/test-architecture"><img src="https://agentmods.dev/badge/skills/ils15/pantheon-legacy/test-architecture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 270 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00029 | $0.01806 |
| Opus 5.5 | $0.00012 | $0.00722 |
| Sonnet 5.5 | $0.00006 | $0.00361 |
| Haiku 4.5 | $0.00003 | $0.00181 |
Grade A, and why
test-architecture 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
result = requests.get(f"{pact.uri}/api/reviews", params={"product_id": "100"}) How it starts
The opening of the file, as written. The whole thing — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Test Architecture — Advanced Testing Patterns
Use this skill for advanced testing beyond unit tests. Covers E2E, load testing, mutation testing, contract testing, and visual regression. Complements tdd-with-agents (which covers unit tests).
Relationship with tdd-with-agents
| Skill | Scope | When to Use |
|---|---|---|
tdd-with-agents |
Unit tests (RED→GREEN→REFACTOR) | Every implementation |
test-architecture |
E2E, load, mutation, contract, visual | Complex features, production-ready code |
1. E2E Testing (Playwright)
Setup
# tests/e2e/conftest.py
import pytest
from playwright.async_api import async_playwright
@pytest.fixture
async def browser():
async with async_playwright() as p:
browser = await p.chromium.launch(headless=True)
yield browser
await browser.close()
@pytest.fixture
async def page(browser):
context = await browser.new_context()
page = await context.new_page()
yield page
await context.close()
Test Pattern
# tests/e2e/test_user_flow.py
import pytest
@pytest.mark.asyncio
async def test_user_login_flow(page):
"""E2E: User can log in and see dashboard."""
await page.goto("http://localhost:8000/login")
await page.fill('input[name="email"]', "[email protected]")
await page.fill('input[name="password"]', "password123")
await page.click('button[type="submit"]')
# Verify redirect to dashboard
await page.wait_for_url("**/dashboard")
assert await page.title() == "Dashboard"
# Verify user info displayed
await page.wait_for_selector(".user-name")
user_name = await page.text_content(".user-name")
assert "Test User" in user_name
Running E2E Tests
# Start app first
uvicorn app.main:app --reload &
# Run E2E tests
pytest tests/e2e/ -v --asyncio-mode=auto
2. Load Testing (k6)
k6 Script
// tests/load/api_load_test.js
import http from 'k6/http';
import { check, sleep } from 'k6';
export const options = {
stages: [
{ duration: '30s', target: 20 }, // Ramp up to 20 users
{ duration: '1m', target: 20 }, // Stay at 20 users
{ duration: '30s', target: 50 }, // Spike to 50 users
{ duration: '1m', target: 50 }, // Stay at 50 users
{ duration: '30s', target: 0 }, // Ramp down
],
thresholds: {
http_req_duration: ['p(95)<500'], // 95% of requests < 500ms
http_req_failed: ['rate<0.01'], // Error rate < 1%
},
};
export default function () {
const res = http.get('http://localhost:8000/api/products');
check(res, {
'status is 200': (r) => r.status === 200,
'response time < 500ms': (r) => r.timings.duration < 500,
});
sleep(1);
}
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 · 292 lines · 29 tokens per session scan A 54a9f1bfdbda
test-architecture is a skill published in the GitHub repository ils15/pantheon-legacy (12 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 1,806 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
Other skills, from other repositories
verify-omnigent
Drive Omnigent the way a user does and prove a behavior with recorded evidence, using an isolated server, runner, and mock model plus a feature map of every user entry point. Load before reproducing a user-facing bug, before claiming a fix works, or when reviewing whether a change covered every surface (session vs.…
test-master
Generates test files, creates mocking strategies, analyzes code coverage, designs test architectures, and produces test plans and defect reports across functional, performance, and security testing disciplines. Use when writing unit tests, integration tests, or E2E tests; creating test strategies or automation…
eval-dataset-design
A guide to creating reliable test sets for AI agents. Each evaluation task includes the request, the simulated user's behaviour, a reset starting state, and a success check that can be independently verified.
dogfood
Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.
cua-driver
Use Cua Driver for desktop or browser tasks that are awkward or unavailable through Bash/APIs, or when the user explicitly wants GUI interaction: app testing, visual bug reproduction, form filling, calendar entry, screenshots, and demo recording. Also covers Cua setup; not OpenAI Codex Computer Use or web research.
critique
Adversarial design critique of the current work. Render it, look at it, and argue for rejection. Run after the gates are green, never instead of them.