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 seed-forge/harness-ai-kit --skill devlab-test-onboardgit clone --depth 1 https://github.com/seed-forge/harness-ai-kitWrote 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/seed-forge/harness-ai-kit/devlab-test-onboard)<a href="https://agentmods.dev/skills/seed-forge/harness-ai-kit/devlab-test-onboard"><img src="https://agentmods.dev/badge/skills/seed-forge/harness-ai-kit/devlab-test-onboard/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/seed-forge/harness-ai-kit/devlab-test-onboard"><img src="https://agentmods.dev/badge/skills/seed-forge/harness-ai-kit/devlab-test-onboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 75 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00075 | $0.02521 |
| Opus 5.5 | $0.00030 | $0.01008 |
| Sonnet 5.5 | $0.00015 | $0.00504 |
| Haiku 4.5 | $0.00007 | $0.00252 |
Grade A, and why
devlab-test-onboard 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.
How it starts
The opening of the file, as written. The whole thing — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI 驱动的分层测试体系 — 智能编排与路由
这是企业级测试技能体系的顶层编排入口。
根据项目特征自动识别测试需求类型，智能路由到对应的子技能执行。支持前端 E2E、后端 API、全栈集成等多种场景。
核心职责：
- ✅ 项目测试场景智能识别
- ✅ 子技能推荐与编排
- ✅ 测试数据服务依赖诊断
- ✅ 专家知识库关联检索
触发条件
当用户提到以下关键词时触发此 Skill：
- "初始化测试" / "test onboarding"
- "配置自动化测试" / "setup test suite"
- "新项目接入测试" / "project test integration"
- "Playwright/Vitest/API 测试"
场景识别矩阵
收到任务后，首先识别项目特征并路由到对应子技能：
| 项目特征 | 检测依据 | 推荐子技能 | 辅助资产 |
|---|---|---|---|
| Vue/React 前端 | vite.config.ts, package.json(react/vue) |
devlab-web-test-e2e |
@playwright/test |
| 纯 API 后端 | openapi.yaml, swagger.json, k8s/ |
devlab-srv-test-api |
supertest, jest |
| 全栈应用 | 同时有前端 + 后端特征 | devlab-integration-fullstack |
@playwright/test + supertest |
| 单体后端 | pom.xml(java), requirements.txt(python) |
devlab-srv-test-api |
pytest, jest |
| 微服务集群 | docker-compose.yml(多服务) |
devlab-integration-fullstack |
testcontainers, mock-server |
| 性能/容量需求 | 用户提“压测/性能测试/容量验证/性能门禁”；仓库有 tests/perf/ 或 .jmx |
devlab-app-test-perf |
grafana/k6（代码化）/ MeterSphere（平台化） |
| AI Agent / LLM 应用 | 仓库含 agent/llm 目录、LLM SDK 依赖（openai/langchain/llamaindex/dify）、golden-sessions/ 或评测集目录 |
devlab-eval-driven-agent |
evalctl + Langfuse |
注 1：性能测试与上方功能档正交——功能测试答“对不对”，性能测试答“够不够快/撑不撑得住”，可与任一功能档并行接入。
注 2：AI Agent / LLM 应用走 agent 评测域（devlab-eval-driven-agent，L0-L4 分层：确定性单测/轨迹评测/输出评测/生产回归/安全成本护栏），与上方传统测试正交——Agent 测试测轨迹/输出/安全，传统测试测接口/UI/集成，两者可并行接入。
执行流程图
用户请求 → 扫描项目特征 → 场景识别 → 子技能路由 → 安装建议 → 用户确认 → 执行初始化
↓ ↓ ↓
触发词匹配 Vue/React/API/Fullstack devlab-test-onboard
子技能说明
1. devlab-web-test-e2e (Web E2E 测试)
职责：专门处理浏览器端端到端测试能力。
功能范围：
- Playwright 测试代码生成
- Vue/React 组件交互测试
- 视觉回归测试
- 前端性能指标采集
- Flaky test 检测与治理
推荐 CLI：
npm install -D @playwright/test vitest
npx playwright init-agents --loop=claude
参考文档：
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 250 lines · 75 tokens per session scan A 649ae8bc3211
devlab-test-onboard is a skill published in the GitHub repository seed-forge/harness-ai-kit (25 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 75 tokens to every session and 2,521 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
qa
Exercise the delivered customer journey using real runtime or browser evidence. Use for functional acceptance testing after implementation, including failure paths.
running-bug-review-board
Runs real-user QA, manual test plans, UX bug hunts, build sign-off, bug filing, and bug triage for web or iOS/iPadOS apps. Use when asked "QA this", "is this ready to ship?", or similar. Produces P0/P1/P2 bug reports, YES/NO phase sign-off, tracker sync guidance, and an HTML QA dashboard; keeps Interactive BRB triage…
plan-test-coverage
User-story-driven test coverage audit and plan — no test writing in this pass. Use when "test coverage plan", "coverage audit", "traceability matrix", "fake-green tests", "uncovered user stories", "plan tests for critical flows", or "whats not tested". Mutation score / assertion theater → test-mutation.
Playwright Test Builder
Generates robust Playwright end-to-end tests for web pages and user flows.
pre-send-qa
Pre-flight QA for an email campaign — merge tags, broken links, spam triggers, compliance, mobile rendering — before you hit send.
screen-reader-testing
Test web applications with screen readers including VoiceOver, NVDA, and JAWS. Use when validating screen reader compatibility, debugging accessibility issues, or ensuring assistive technology support.