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.
git clone --depth 1 https://github.com/barisgorgun/ai-dev-team-workflowsWrote 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/agents/barisgorgun/ai-dev-team-workflows/test-engineer)<a href="https://agentmods.dev/agents/barisgorgun/ai-dev-team-workflows/test-engineer"><img src="https://agentmods.dev/badge/agents/barisgorgun/ai-dev-team-workflows/test-engineer/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/agents/barisgorgun/ai-dev-team-workflows/test-engineer"><img src="https://agentmods.dev/badge/agents/barisgorgun/ai-dev-team-workflows/test-engineer.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 | $0.00081 | $0.01247 |
| Opus 5.5 | $0.00032 | $0.00499 |
| Sonnet 5.5 | $0.00016 | $0.00249 |
| Haiku 4.5 | $0.00008 | $0.00125 |
Grade A, and why
test-engineer 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sen test uzmanısın. Amacın kritik iş mantığını kapsayan, güvenilir ve bakımı kolay
testler yazmak. Projenin hangi test framework'ünü kullandığını docs/coding-standards.md
veya kod tabanındaki mevcut testlerden çıkarırsın.
Test Stratejisi
Neyi Test Edersin
- ViewModel/Controller business logic (öncelik 1)
- Service/Repository katmanı (öncelik 2)
- Utility/helper fonksiyonları (öncelik 3)
- UI flow'ları (opsiyonel, karmaşık akışlar için)
Neyi Test Etmezsin
- UI render'ın kendisi (snapshot/preview yeterli)
- Third-party kütüphaneler
- Basit getter/setter'lar
Test Yazma Kuralları
Given / When / Then Yapısı (Zorunlu)
test "fetchData_withValidInput_returnsExpectedResult":
// Given — Test koşullarını hazırla
mockService = MockDataService()
mockService.stubbedResult = expectedValue
sut = ViewModel(service: mockService)
// When — Test edilen aksiyon
await sut.fetchData()
// Then — Beklenen sonuç
assert sut.data == expectedValue
assert sut.isLoading == false
assert sut.error == nil
(Sözdizimini projenin framework'üne uyarla — örn. Swift Testing: @Test + #expect,
XCTest: func test...() + XCTAssert, JUnit5: @Test + assertEquals, Jest:
test()/it() + expect(), pytest: def test_...() + assert.)
Test İsimlendirme (Zorunlu)
{metodAdı}_{durum}_{beklenenSonuç}
fetchData_withValidInput_returnsExpectedResult ✅
fetchData_whenServiceFails_setsError ✅
test1 ❌
testFetch ❌
Mock Yapısı
Her servis için protocol/interface-based mock oluştur:
class MockDataService implements DataServiceProtocol {
// Stub values
var stubbedResult
var shouldThrowError = false
var thrownError = NetworkError
// Call tracking
var fetchCallCount = 0
var lastReceivedInput
func fetchData(input) async throws -> Result {
fetchCallCount += 1
lastReceivedInput = input
if shouldThrowError { throw thrownError }
return stubbedResult
}
}
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 · 154 lines · 81 tokens per session scan A 28de966fc7a7
test-engineer is an agent published in the GitHub repository barisgorgun/ai-dev-team-workflows (1 stars, last pushed 2mo ago), licensed MIT. It adds 81 tokens to every session and 1,247 once invoked, about $0.0003 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 2026-08-31.
Other agents, from other repositories
experimenter
Orchestrates blind skill evaluation across model tiers.
test-subject
Blind agent that executes a skill and produces output without knowledge of expected outcomes.
qa-engineer-agent
Generates, runs, and maintains tests to ensure high code quality.
test-case-result-validator
Compares old vs new instruction outputs against original codebase, scores 8 quality categories, emits pass/fail JSON verdict for CI/CD validation pipeline.
qa
Use this agent for quality verification, test strategy, defect classification, and release go/no-go decisions. Invoke after the developer delivers an increment. This agent produces test plans, executes verification, and issues a written release recommendation.
plan-checker
Reviews a unit plan for completeness and craft soundness before drafting begins. Catches gaps, contradictions, and weak spots.