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/arbazkhan971/godmode/integrationnpx skills add arbazkhan971/godmode --skill integrationgit clone --depth 1 https://github.com/arbazkhan971/godmodeWrote 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/arbazkhan971/godmode/integration)<a href="https://agentmods.dev/skills/arbazkhan971/godmode/integration"><img src="https://agentmods.dev/badge/skills/arbazkhan971/godmode/integration.svg" alt="Measured on agentmods" 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 | $0.00055 | $0.01659 |
| Opus 5 | $0.00028 | $0.00830 |
| Sonnet 5 | $0.00011 | $0.00332 |
| Haiku 4.5 | $0.00006 | $0.00166 |
Grade A, and why
integration 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 today.
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 — 246 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Integration — Integration Testing
Activate When
- User invokes
/godmode:integration - User says "integration test", "integration testing", "test integration between services"
- User says "test with real database", "test API"
- User asks about Testcontainers or Docker-based deps
/godmode:testidentifies integration coverage gaps
Workflow
Step 1: Assess Integration Boundaries
# Identify external dependencies
grep -rn "createConnection\|createPool\|mongoose" \
src/ --include="*.ts" | head -10
# Check for existing integration tests
find . -name "*integration*" -o -path "*/it/*" \
| grep -v node_modules | head -10
# Check Docker availability
docker info > /dev/null 2>&1 && echo "Docker: OK" \
|| echo "Docker: NOT AVAILABLE"
INTEGRATION BOUNDARY MAP:
Target: <module/service>
Language: <language>, Framework: <test framework>
Dependencies:
Databases: <PostgreSQL | MySQL | MongoDB | Redis>
APIs: <external services>
Queues: <Kafka | RabbitMQ | SQS>
IF no integration tests exist: start with DB boundary
IF heavily mocked code: replace mocks with containers
IF Docker unavailable: use test DB instance instead
Step 2: Set Up Testcontainers
// Node.js / TypeScript example
import { PostgreSqlContainer } from
'@testcontainers/postgresql';
let container;
beforeAll(async () => {
container = await new PostgreSqlContainer()
.start();
// container.getConnectionUri() for connection
}, 60_000); // 60s timeout for container startup
# Python example
import pytest
from testcontainers.postgres import PostgresContainer
@pytest.fixture(scope="module")
def postgres():
with PostgresContainer("postgres:16-alpine") as pg:
yield pg
Step 3: Database Seeding & Cleanup
CLEANUP STRATEGIES:
| Strategy | Speed | Isolation |
|-------------------|--------|-----------|
| Transaction rollback| Fast | High |
| TRUNCATE between | Fast | High |
| Unique data/test | No cleanup| Parallel|
| Fresh container | Slow | Maximum |
IF framework supports it: transaction rollback
IF parallel tests: unique data per test
IF schema tests: fresh container per class
THRESHOLDS:
Container startup timeout: >= 60 seconds
Avg test duration target: < 5 seconds
IF test > 10s: check query optimization
IF flaky: check cleanup, add retry for container
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.
- today First seen · 246 lines · 55 tokens per session scan A 036b1319fc64
integration is a skill published in the GitHub repository arbazkhan971/godmode (26 stars, last pushed 6d ago), licensed MIT. It adds 55 tokens to every session and 1,659 once invoked, about $0.0003 per session on Opus 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 2026-09-03.
Other skills, from other repositories
jobs-to-be-done
Discover what customers truly need by analyzing the "job" they hire your product to do. Use when the user mentions "customer discovery", "why customers churn", "what job does this solve", "competing against luck", "product-market fit", "switching behavior", "milkshake moment", or "functional vs emotional jobs". Also…
asc-subscription-localization
Bulk-localize subscription, subscription-group, and in-app purchase display names across App Store locales using asc, including API 4.4.1 version-scoped v2 resources. Use when filling or updating subscription/IAP names and descriptions without App Store Connect UI work.
scienceworld-growth-focuser
Use when you have planted a seed or need to track a plant's growth stage (sprouting, flowering, reproduction). Applies the 'focus on' action to a specific plant or biological entity to signal intent and monitor its development. Trigger after planting or when you need to observe life cycle progression in the…
ralph-specum-requirements
This skill should be used only when the user explicitly asks to use $ralph-specum-requirements, or explicitly asks Ralph Specum in Codex to run the requirements phase.
biome
Repository guidance for using Biome as the formatter, linter, and code quality tool within the hr-skills monorepo.
dashboard-builder
Build and manage recurring dashboard views of key metrics — set up daily/weekly monitoring with saved metrics and segments. Use when the user wants to create a recurring dashboard, set up KPI monitoring, or establish a baseline.