ai-qa-agent: Instructions file for Codex

AGENTS.md

ai-qa-agent AGENTS.md is an instructions file for Codex, OpenCode from loveautomate/ai-qa-agent. It costs 574 tokens per session, scanned A, original, MIT.

A set of repository instructions for an AI quality-assurance agent. It describes where project guidance lives and how to validate web interfaces with automated browser tests and their reports.

In plain words
What is it for?
Running end-to-end tests, reviewing browser test reports and traces, maintaining test files, and finding the correct application URLs and project guidance.
Why use it?
It gives the agent a fixed validation order and separates reusable testing code from demo-specific content. This makes UI test results easier to inspect and repeat.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths.

This is loveautomate/ai-qa-agent's own configuration. It tells Codex and OpenCode how to work on ai-qa-agent 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-qa-agent configures →

Reuse

Borrowing it

Nothing to install: this file belongs to loveautomate/ai-qa-agent. 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/loveautomate/ai-qa-agent/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/loveautomate/ai-qa-agent

Made for: Codex, OpenCode.

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 ai-qa-agent AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/loveautomate/ai-qa-agent/agents-md.svg)](https://agentmods.dev/instructions/loveautomate/ai-qa-agent/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/loveautomate/ai-qa-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/loveautomate/ai-qa-agent/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 574 This file is loaded in full into every session.
When invoked 574 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 $0.00574 $0.00574
Opus 5 $0.00287 $0.00287
Sonnet 5 $0.00115 $0.00115
Haiku 4.5 $0.00057 $0.00057

Measured 6d ago against content hash 1b775916b753, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

ai-qa-agent AGENTS.md 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 6d 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.

AGENTS.md · 26 lines

How it starts

The opening of the file, as written. The whole thing — 26 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI QA Agent (repo hints)

  • Architecture & folder map (Mermaid): README.md — Architecture
  • Orchestrator rule: .cursor/rules/orchestrator.mdc (6 phases; VALIDATE always starts with npm run test:report for UI e2e so you review HTML report + traces first; playwright-cli optional after that)
  • PRD / roadmap: .agent/docs/prd.md
  • Workflow skill note: .agent/skills/qa-workflow.md
  • VALIDATE — mandatory evidence (UI e2e): Agent runs npm run test:report (test:clean + full artifacts + opens HTML report) before validate discussion; you start from the report and trace viewers. See package.json and playwright.config.ts (PW_REPORT_ALL).
  • VALIDATE — optional debug: .agent/skills/playwright-cli.md · playwright-cli skills (default path): .claude/skills/playwright-cli/ (refresh: npm run playwright-cli:skills)

.agent/ holds skills/ and docs/ only.

Demo base URLs: playwright.config.tsDEMO_E2E_BASE_URL, DEMO_API_BASE_URL (edit in source when changing targets).

E2E spec naming: tests/e2e/{target}.spec.ts (e.g. saucedemo.spec.ts). Avoid redundant filename tags such as -bdd; express style in test.step / plans, not in the file name.

Evidence: After a run, open the Playwright report with npx playwright show-report, or open playwright-report/index.html. Markdown summaries live under reports/ when generated.

Extending or changing tests: Update tests/plans/*.md and re-run PLAN → DEVELOP → TEST → HEAL → REPORT → VALIDATE until the user is satisfied (orchestrator).


Branching (framework vs demo content)

  • main: Test framework and agent docs — playwright.config.ts, scripts/, package.json test scripts, .agent/, .cursor/rules/, README.md, etc.
  • Feature branches (e.g. ui-test, api-test): Demo plans, specs, and Markdown reports for a given exercise may land here without merging those artifacts to main, so main stays a clean harness. Cherry-pick or merge framework-only commits to main when promoting tooling updates.

Read the full file on GitHub · 26 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. 6d ago First seen · 26 lines · 574 tokens per session scan A 1b775916b753

Subscribe to this mod's changes

ai-qa-agent AGENTS.md is an instructions file published in the GitHub repository loveautomate/ai-qa-agent (3 stars, last pushed 4mo ago), licensed MIT. It adds 574 tokens to every session, about $0.0029 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.

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