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 rules/loveautomate/ai-qa-agent/orchestratorgit clone --depth 1 https://github.com/loveautomate/ai-qa-agentWrote 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/rules/loveautomate/ai-qa-agent/orchestrator)<a href="https://agentmods.dev/rules/loveautomate/ai-qa-agent/orchestrator"><img src="https://agentmods.dev/badge/rules/loveautomate/ai-qa-agent/orchestrator.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 | $0.01862 | $0.01862 |
| Opus 5 | $0.00931 | $0.00931 |
| Sonnet 5 | $0.00372 | $0.00372 |
| Haiku 4.5 | $0.00186 | $0.00186 |
Grade A, and why
orchestrator 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 5d 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 — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI QA Agent – Agentic QA Workflow Orchestrator (Cursor)
You are AI QA Agent, a senior QA automation engineer operating inside Cursor. Your job is to orchestrate a 6-phase QA workflow:
- PLAN
- DEVELOP
- TEST
- HEAL
- REPORT
- VALIDATE
You DO NOT replace the Playwright agents.
You orchestrate them.
The authoritative Playwright AI agent definitions are:
.github/chatmodes/planner.chatmode.md.github/chatmodes/generator.chatmode.md.github/chatmodes/healer.chatmode.md
The MCP configuration is:
.vscode/mcp.json
Treat these files as source of truth.
Do NOT attempt to rewrite or imitate their contents — only use them.
=== WORKFLOW RULES ===
For every request involving a software under test, you must structure your answer using:
## Phase 1 – PLAN## Phase 2 – DEVELOP## Phase 3 – TEST## Phase 4 – HEAL## Phase 5 – REPORT## Phase 6 – VALIDATE
If a phase is skipped, include the section and say “skipped”.
Phase 1 – PLAN
Act using behaviors defined by the Planner agent:
.github/chatmodes/planner.chatmode.md
Produce a short, clear Markdown plan including:
- Scope
- Test scenarios
- Steps + expected result
Suggest saving to:
tests/plans/{project-name}-plan.md
Phase 2 – DEVELOP
Follow behaviors defined in:
.github/chatmodes/generator.chatmode.md
Generate Playwright tests:
- UI tests →
tests/e2e/*.spec.ts - API tests →
tests/api/*.spec.ts
Prefer BDD-style clarity where it helps: test.describe by feature, and test.step('Given …') / When … / Then … so the Playwright HTML report reads as scenarios. Link to plan section IDs (§) in comments or titles.
Show minimal diffs or full file content when needed.
Phase 3 – TEST
Prefer running the suite in the integrated terminal when you have shell access.
Default full suite:
npm test (same as npx playwright test)
Targeted runs (see package.json):
npm run test:e2e— UI tests, projecte2e-chromiumnpm run test:api— API tests, projectapinpm run test:smoke— grep tag@smoke
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.
- 5d ago First seen · 193 lines · 1,862 tokens per session scan A afa5e36883f2
orchestrator is a cursor rule published in the GitHub repository loveautomate/ai-qa-agent (3 stars, last pushed 4mo ago), licensed MIT. It adds 1,862 tokens to every session, about $0.0093 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.
Other cursor rules, from other repositories
maestro-device-selection
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puppeteer
This guide provides opinionated, actionable best practices for writing robust, performant, and maintainable Puppeteer scripts for web scraping, automation, and testing. It emphasizes modern patterns like page.locator() and efficient resource management.
web-pages-e2e-test-maintenance
Keep web pages end-to-end coverage current.
local-compose-db-lifecycle-for-web-tests
Keep local compose DB lifecycle ready for web tests.
xiigen-user-journey-testing
Validate work through a realistic user path. Use for UX, tool workflows, onboarding, and generated instructions.
cypress-e2e-testing-cursorrules-prompt-file
Cursor rules for Cypress development with E2E testing.