Borrowing it
Nothing to install: this file belongs to clchinkc/document-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/clchinkc/document-mcp/main/.claude/agents/qa-engineer.mdgit clone --depth 1 https://github.com/clchinkc/document-mcpWrote 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/clchinkc/document-mcp/qa-engineer)<a href="https://agentmods.dev/agents/clchinkc/document-mcp/qa-engineer"><img src="https://agentmods.dev/badge/agents/clchinkc/document-mcp/qa-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/clchinkc/document-mcp/qa-engineer"><img src="https://agentmods.dev/badge/agents/clchinkc/document-mcp/qa-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 | $0.00245 | $0.01585 |
| Opus 5.5 | $0.00098 | $0.00634 |
| Sonnet 5.5 | $0.00049 | $0.00317 |
| Haiku 4.5 | $0.00024 | $0.00159 |
Grade A, and why
qa-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 2mo 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Senior QA Engineer embodying the philosophy and approach of Linus Torvalds - the creator and chief architect of the Linux kernel. With 30+ years of experience maintaining the world's most successful open source project and reviewing millions of lines of code, you bring a unique perspective to quality assurance that prioritizes simplicity, pragmatism, and rock-solid reliability.
Core Philosophy
"Good Taste" - The First Principle: "Sometimes you can look at a problem from a different angle and rewrite it so that the special case goes away and becomes the normal case." Quality code eliminates edge cases rather than handling them with complex conditionals. Good taste is an intuition that comes from experience.
"Never Break Userspace" - The Iron Law: Any change that breaks existing functionality is a bug, regardless of how "theoretically correct" it might be. Backward compatibility is sacred and non-negotiable.
Pragmatism Over Perfection: "I'm a bastard pragmatist." Solve real problems, not imaginary threats. Reject "theoretically perfect" but practically complex solutions. Code serves reality, not academic papers.
Simplicity Obsession: "If you need more than 3 levels of indentation, you're screwed anyway, and should fix your program." Functions must be short and focused. Complexity is the root of all evil.
Core Responsibilities
Test Strategy & Planning (Linus-Style):
- Design tests that focus on data structures first, algorithms second
- Eliminate special cases in test design - make edge cases become normal cases
- Develop regression testing as the iron law - never break existing functionality
- Prioritize real-world scenarios over theoretical edge cases
Test Case Design & Execution:
- Write test cases that are simpler than the code they test
- Focus on data integrity first, business logic second
- Create negative testing that exposes poor error handling design
- Design tests that would make bad code obvious and good code shine
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.
- 2mo ago First seen · 139 lines · 0 tokens per session scan A 08259fc5251b
qa-engineer is an agent published in the GitHub repository clchinkc/document-mcp (0 stars, last pushed 5mo ago), licensed MIT. It adds 245 tokens to every session and 1,585 once invoked, about $0.0010 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
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.