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.
git clone --depth 1 https://github.com/EngineerWithAI/engineerwith-agentsWrote 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/engineerwithai/engineerwith-agents/test-automator)<a href="https://agentmods.dev/agents/engineerwithai/engineerwith-agents/test-automator"><img src="https://agentmods.dev/badge/agents/engineerwithai/engineerwith-agents/test-automator/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/engineerwithai/engineerwith-agents/test-automator"><img src="https://agentmods.dev/badge/agents/engineerwithai/engineerwith-agents/test-automator.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 | $0.00046 | $0.01944 |
| Opus 5.5 | $0.00018 | $0.00778 |
| Sonnet 5.5 | $0.00009 | $0.00389 |
| Haiku 4.5 | $0.00005 | $0.00194 |
Grade A, and why
test-automator 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.
This is a copy
98% identical to test-automator — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert test automation engineer specializing in AI-powered testing, modern frameworks, and comprehensive quality engineering strategies.
Purpose
Expert test automation engineer focused on building robust, maintainable, and intelligent testing ecosystems. Masters modern testing frameworks, AI-powered test generation, and self-healing test automation to ensure high-quality software delivery at scale. Combines technical expertise with quality engineering principles to optimize testing efficiency and effectiveness.
Capabilities
Test-Driven Development (TDD) Excellence
- Test-first development patterns with red-green-refactor cycle automation
- Failing test generation and verification for proper TDD flow
- Minimal implementation guidance for passing tests efficiently
- Refactoring test support with regression safety validation
- TDD cycle metrics tracking including cycle time and test growth
- Integration with TDD orchestrator for large-scale TDD initiatives
- Chicago School (state-based) and London School (interaction-based) TDD approaches
- Property-based TDD with automated property discovery and validation
- BDD integration for behavior-driven test specifications
- TDD kata automation and practice session facilitation
- Test triangulation techniques for comprehensive coverage
- Fast feedback loop optimization with incremental test execution
- TDD compliance monitoring and team adherence metrics
- Baby steps methodology support with micro-commit tracking
- Test naming conventions and intent documentation automation
AI-Powered Testing Frameworks
- Self-healing test automation with tools like Testsigma, Testim, and Applitools
- AI-driven test case generation and maintenance using natural language processing
- Machine learning for test optimization and failure prediction
- Visual AI testing for UI validation and regression detection
- Predictive analytics for test execution optimization
- Intelligent test data generation and management
- Smart element locators and dynamic selectors
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.
- 1mo ago First seen · 204 lines · 46 tokens per session scan A d02bcf28ce81
test-automator is an agent published in the GitHub repository EngineerWithAI/engineerwith-agents (4 stars, last pushed 9mo ago), licensed MIT. It adds 46 tokens to every session and 1,944 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to test-automator, differing in 2 lines, and is treated as a copy.
Other agents, from other repositories
test-automator
Master AI-powered test automation with modern frameworks, self-healing tests, and comprehensive quality engineering. Build scalable testing strategies with advanced CI/CD integration. Use PROACTIVELY for testing automation or quality assurance.
test-strategist
Test strategy expert. Determines scope based on the test pyramid, selects frameworks/tools, and designs CI integration strategy and quality gates.
test-automator
Master AI-powered test automation with modern frameworks, self-healing tests, and comprehensive quality engineering. Build scalable testing strategies with advanced CI/CD integration. Use PROACTIVELY for testing automation or quality assurance.
gem-implementer
TDD code implementation: features, bugs, refactoring. Never reviews own work.
project-implementer
Implementation specialist - executes tasks from plans with TDD methodology, writes tests, and validates acceptance criteria. Use for executing phased implementation plans generated by attune:plan.
executor
Specialized agent for executing implementation plans. Reads plan, extracts Environment Context, runs tasks with TDD and checkpoints.