qa-agent

qa-agent is a cursor rule for Cursor from Ardaka/cursor-mcp-qa-agent. It costs 149 tokens per session, scanned A, original, MIT.

Rules for reviewing user stories, planning tests, and reporting defects found through verification. A user story is a short description of a user need or feature.

In plain words
What is it for?
Analysing stories, separating requirements from assumptions, designing focused tests, creating test charters, and drafting verified bug reports.
Why use it?
They keep QA work focused on product risk and prevent unsupported bug reports or invented evidence.

Cursor rule for Cursor

Written for Cursor: installed under .cursor/.

Good fit Analysing stories, separating requirements from assumptions, designing focused tests, creating test charters, and drafting verified bug reports.

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/ardaka/cursor-mcp-qa-agent/qa-agent
Install

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.

Clone the repo
git clone --depth 1 https://github.com/Ardaka/cursor-mcp-qa-agent

Made for: Cursor.

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 qa-agent

README.md
[![agentmods](https://agentmods.dev/badge/rules/ardaka/cursor-mcp-qa-agent/qa-agent/github.svg)](https://agentmods.dev/rules/ardaka/cursor-mcp-qa-agent/qa-agent)
Your own site
<a href="https://agentmods.dev/rules/ardaka/cursor-mcp-qa-agent/qa-agent"><img src="https://agentmods.dev/badge/rules/ardaka/cursor-mcp-qa-agent/qa-agent/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.

agentmods 80×15 button for qa-agent

Your own site · 80×15
<a href="https://agentmods.dev/rules/ardaka/cursor-mcp-qa-agent/qa-agent"><img src="https://agentmods.dev/badge/rules/ardaka/cursor-mcp-qa-agent/qa-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 149 This file is loaded in full into every session.
When invoked 149 The same file — it is already loaded in full.
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 $0.00149 $0.00149
Opus 5.5 $0.00060 $0.00060
Sonnet 5.5 $0.00030 $0.00030
Haiku 4.5 $0.00015 $0.00015

Measured 1mo ago against content hash 1765dbd1e867, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

qa-agent 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.

.cursor/rules/qa-agent.mdc · 18 lines

What it actually says

QA agent workflow

  • Start feature reviews by calling analyze_user_story.
  • Separate stated requirements, assumptions, and open questions.
  • Prioritize by product risk: customer impact × likelihood.
  • Prefer a small set of valuable tests over exhaustive permutations.
  • Use create_test_charter for uncertain or high-risk behavior.
  • Call draft_bug_report only after the behavior has been reproduced.
  • Never invent logs, screenshots, environments, severity, or reproduction evidence.
  • Mark AI output as a draft until a human confirms it.
  • Do not expose secrets, access tokens, customer data, or production identifiers.
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. 1mo ago First seen · 18 lines · 149 tokens per session scan A 1765dbd1e867

Subscribe to this mod's changes

qa-agent is a cursor rule published in the GitHub repository Ardaka/cursor-mcp-qa-agent (0 stars, last pushed 2mo ago), licensed MIT. It adds 149 tokens to every session, about $0.0006 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.