Killer-Skills Review
Decision support comes first. Repository text comes second.
This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.
고성능 단위 테스트 및 벤치마크 기능이 필요한 Rust 기반 AI 에이전트에 적합합니다. Ordo testing and benchmarking guide. Includes unit tests, integration tests, Criterion benchmarks, k6 load tests, CI configuration. Use for writing tests, performance analysis, continuous integration.
이 스킬을 사용하는 이유
Cargo를 사용한 강력한 단위 테스트 및 병렬 실행 기능을 에이전트가 실행할 수 있도록 하여 Rust의 성능 및 신뢰성을 활용하고 테스트 스레드 제어 및 nocapture 출력 등의 기능을 제공합니다.
최적의 용도
고성능 단위 테스트 및 벤치마크 기능이 필요한 Rust 기반 AI 에이전트에 적합합니다.
↓ 실행 가능한 사용 사례 for ordo-testing
! 보안 및 제한 사항
- Rust 및 Cargo 설치가 필요함
- Rust 기반 프로젝트만 해당
Why this page is reference-only
- - Current locale does not satisfy the locale-governance contract.
- - The underlying skill quality score is below the review floor.
Source Boundary
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Decide The Next Action Before You Keep Reading Repository Material
Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.
Start With Installation And Validation
If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Cross-Check Against Trusted Picks
If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Move To Workflow Collections For Team Rollout
When the goal shifts from a single skill to team handoff, approvals, and repeatable execution, move into workflow collections.
Browser Sandbox Environment
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Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.
FAQ & Installation Steps
These questions and steps mirror the structured data on this page for better search understanding.
? Frequently Asked Questions
What is ordo-testing?
고성능 단위 테스트 및 벤치마크 기능이 필요한 Rust 기반 AI 에이전트에 적합합니다. Ordo testing and benchmarking guide. Includes unit tests, integration tests, Criterion benchmarks, k6 load tests, CI configuration. Use for writing tests, performance analysis, continuous integration.
How do I install ordo-testing?
Run the command: npx killer-skills add Pama-Lee/Ordo. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.
What are the use cases for ordo-testing?
Key use cases include: Cargo를 사용하여 포괄적인 단위 테스트를 실행하는 것, 병렬 실행을 사용하여 워크플로우 성능을 벤치마크하는 것, nocapture 출력을 사용하여 특정 테스트 케이스를 디버깅하는 것.
Which IDEs are compatible with ordo-testing?
This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.
Are there any limitations for ordo-testing?
Rust 및 Cargo 설치가 필요함. Rust 기반 프로젝트만 해당.
↓ How To Install
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1. Open your terminal
Open the terminal or command line in your project directory.
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2. Run the install command
Run: npx killer-skills add Pama-Lee/Ordo. The CLI will automatically detect your IDE or AI agent and configure the skill.
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3. Start using the skill
The skill is now active. Your AI agent can use ordo-testing immediately in the current project.
! Reference-Only Mode
This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
ordo-testing
Install ordo-testing, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.