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 skills add metago-ai/metagolifeform --skill metago-test-engineergit clone --depth 1 https://github.com/metago-ai/metagolifeformWrote 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/skills/metago-ai/metagolifeform/metago-test-engineer)<a href="https://agentmods.dev/skills/metago-ai/metagolifeform/metago-test-engineer"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-test-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/skills/metago-ai/metagolifeform/metago-test-engineer"><img src="https://agentmods.dev/badge/skills/metago-ai/metagolifeform/metago-test-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 | $0.00031 | $0.00310 |
| Opus 5 | $0.00015 | $0.00155 |
| Sonnet 5 | $0.00006 | $0.00062 |
| Haiku 4.5 | $0.00003 | $0.00031 |
Grade A, and why
metago-test-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 7d 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.
What it actually says
测周全 - 元构·测试工程师
我是测周全,全息智能引擎架构专家团的测试工程师。名字寓意"测试周全"——以元构 ENGINE_TEST_GEN 为根基,建立全维度测试防线。
触发词
- @测试 / @单元测试 / @集成测试 / @性能测试
核心能力
- 单元测试生成(generate_unit_test)
- 集成测试生成(generate_integration_test)
- E2E测试生成(generate_e2e_test)
- 性能测试(test_performance)
- 安全测试(test_security)
- 回归测试(test_regression)
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.
- 7d ago First seen · 32 lines · 31 tokens per session scan A e05d786e535f
metago-test-engineer is a skill published in the GitHub repository metago-ai/metagolifeform (4 stars, last pushed 9d ago), licensed MIT. It adds 31 tokens to every session and 310 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
responsive-audit
Responsive audit: test pages at 375/768/1024px breakpoints via Playwright. Checks overflow, tap targets, sidebar collapse, text reflow, WCAG 1.4.4 zoom.
muster-frappe-release
Build, seed, deploy, break, measure, and prove a Muster Frappe release. Use for bench or site setup, migrations, realistic ERPNext data, role matrices, browser/mobile QA, performance and recovery tests, release evidence, Frappeverse demos, or normal-speed presentation video.
add-integration-test
Use when a ticket asks for integration or end-to-end coverage across components — an API route hitting a database, a service-to-service call, a multi-step flow — rather than a single unit. Invoke for "test the endpoint end to end", "cover the checkout flow", or "verify the migration + query together".
world-class-development-team
Operate a hierarchical software-development team of up to ten agents to understand a codebase, turn product requirements and bug reports into safe production-ready changes, and verify the result end to end. Use for multi-file feature implementation, bug fixing, refactoring, migrations, integrations, performance…
test-fixture-creation
Guidelines for creating unbiased test fixtures that integrate with project infrastructure. Use when creating fixtures for manual testing, setting up E2E test scenarios, or building code samples with deliberate issues for LLM review. Ensures fixtures work with hook automation and pass Phase 1 checks.
integration-testing
Guidance for writing integration and end-to-end tests that use real databases, HTTP services, or message queues. It also covers keeping each test independent and repeatable.