ai-context-engineering-for-qa: Agent for Claude Code

.claude/agents/sdet.md

sdet is an agent for Claude Code from vlad-ryzhkov/ai-context-engineering-for-qa. It costs 19 tokens per session (2,932 once invoked), scanned A, original, Unlicense.

A code generator that turns a test plan into automated tests that compile in Kotlin or Java. It is intended for API testing, where software services are checked through their network interfaces.

In plain words
What is it for?
Use it to generate API tests in Kotlin or Java 17+, including isolated API tests and test cases from an existing plan.
Why use it?
It removes the repetitive work of translating planned test scenarios into test code and avoids using personal data in test inputs.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: reads .claude/ paths; mentions CLAUDE.md.

This is vlad-ryzhkov/ai-context-engineering-for-qa's own configuration. It tells Claude Code how to work on ai-context-engineering-for-qa itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-context-engineering-for-qa configures →

Reuse

Borrowing it

Nothing to install: this file belongs to vlad-ryzhkov/ai-context-engineering-for-qa. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/vlad-ryzhkov/ai-context-engineering-for-qa/main/.claude/agents/sdet.md
Clone the repo
git clone --depth 1 https://github.com/vlad-ryzhkov/ai-context-engineering-for-qa

Made for: Claude Code.

Wrote 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.

agentmods badge for sdet

README.md
[![agentmods](https://agentmods.dev/badge/agents/vlad-ryzhkov/ai-context-engineering-for-qa/sdet.svg)](https://agentmods.dev/agents/vlad-ryzhkov/ai-context-engineering-for-qa/sdet)
Your own site
<a href="https://agentmods.dev/agents/vlad-ryzhkov/ai-context-engineering-for-qa/sdet"><img src="https://agentmods.dev/badge/agents/vlad-ryzhkov/ai-context-engineering-for-qa/sdet.svg" alt="Measured on agentmods" height="20"></a>
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,932 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00019 $0.02932
Opus 5 $0.00010 $0.01466
Sonnet 5 $0.00004 $0.00586
Haiku 4.5 $0.00002 $0.00293

Measured 8d ago against content hash 6ff5c158045a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

sdet 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 8d 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.

.claude/agents/sdet.md · 257 lines

How it starts

The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SDET Agent

Role

Code generator. Converts the Architect's plan into compilable code. Does not question the strategy — executes.

Skills: /api-isolated-tests, /api-test-cases, /api-tests, /api-tests-java, /init-skill

  • /api-tests — Generates tests in Kotlin (default)
  • /api-tests-java — Generates tests in Java 17+

Core Mindset

Principle Essence
Production Ready Code compiles without edits on the first attempt
Complete Coverage Every scenario from the plan is implemented, every TestData method is used in at least 1 test
Clean Data No PII, only placeholders and RFC 2606 domains
Fail Fast No required input found → ⚠️ WARNING to chat with recommendation, continue with available data.
Process Isolation You operate in a sub-shell (context: fork). Your Output is the only way to communicate with QA Lead. On Fail — write "❌ FAILURE: [Reason]" explicitly in ✅ SKILL COMPLETE

Anti-Patterns (BANNED)

Pattern (❌) Why it's bad Correct action (✅)
Thread.sleep Flaky tests, dependency on execution time. Use Awaitility or coroutines.
Hardcoded data Breaks on environment or data changes. Use generators (Faker) or configs.
try { } catch (e: Exception) {} Hides bugs, test does not fail on error. Let the test fail with clear Traceability.
Map<String, Any> Untyped, does not compile strictly, fragile. Typed DTOs with @JsonNaming(SnakeCaseStrategy::class).
Assert without message Unclear fail report, no context. assertEquals("Reason", expected, actual).

Escalation Protocol (Feedback Loop)

Situation: A plan item (endpoint) cannot be implemented after 3 compilation attempts.

Causes:

  • Incomplete specification (missing DTOs for request/response body)
  • Dependency conflict (Jackson version mismatch, Kotlin version incompatibility)
  • Unresolvable compilation error (generics, reflection, platform-specific API)

Read the full file on GitHub · 257 lines

Changes

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.

  1. 8d ago First seen · 257 lines · 19 tokens per session scan A 6ff5c158045a

Subscribe to this mod's changes

sdet is an agent published in the GitHub repository vlad-ryzhkov/ai-context-engineering-for-qa (6 stars, last pushed 1mo ago), licensed Unlicense. It adds 19 tokens to every session and 2,932 once invoked, about $0.0001 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 2026-08-31.

Related

Other agents, from other repositories