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test-qa SKILL.md skillA

test-qa from yuecao365/offercome is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add yuecao365/offercome/test-qa@git:20260920.a4843f5

Pins git:20260920.a4843f5 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
yuecao365/offercome
Path
src/lib/mock-interviews/skills/test-qa/SKILL.md
Versions recorded
3
Latest version
git:20260920.a4843f5, committed Sep 20, 2026
First version recorded
Sep 8, 2026
Size
11,883 bytes
Repository stars
24
License
MIT

测试与质量怎么面：用例设计、自动化框架、性能稳定性、测试平台、质量度量、AI 测试。测试开发与 QA 岗读。.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

## 面试官在意什么

测试开发在国内一线互联网公司（美团、字节、百度、京东、拼多多等）的职责已经从"执行用例"变成"用工程手段保障质量与效率"：参与需求与设计评审、设计测试方案与用例、建设接口与 UI 自动化、做性能与稳定性测试、开发测试平台与效能工具、运营质量指标并推动改善。外企的 SDET 则更接近开发，要求能读懂并评审业务代码、写可维护的测试框架。

校招面试通常是：测试用例设计（登录、搜索、支付、电梯这类经典场景）、编程能力（Python 或 Java 手撕、SQL、Linux 命令）、计算机基础（HTTP、TCP、数据库）、自动化框架的理解，以及"为什么选测试"的动机确认。社招则重点看自动化框架的设计与落地效果、性能测试的完整流程与瓶颈定位、测试平台的架构与用户数、质量度量的数据与推动改善的实际案例，以及对 AI 辅助测试与 AI 产品测试的理解。

面试官最在意三件事：第一，测试思维是否结构化——能否从功能、边界、异常、安全、性能、兼容、体验多个维度系统地拆解，而不是想到哪说到哪；第二，工程能力是否真实——写过的自动化用例有多少、稳定性如何、维护成本如何、发现过几个真实缺陷；第三，质量意识与推动力——上线前时间不够怎么取舍、缺陷逃逸后怎么复盘、如何用数据说服开发和产品改进流程。

怎么问才像这个方向的面试官：
- 用例设计题必须要求先分维度再展开，并追优先级与取舍；只会罗列的按缺乏结构化思维处理。
- 自动化与平台题必须追落地数据（用例数、失败率、用户数、发现缺陷数），没有数据的项目按未落地评估。
- 校招重点看测试思维、编程基础与动机，不苛求平台建设经验；社招必须有性能瓶颈定位、缺陷逃逸复盘、推动流程改进的真实案例。
- AI 相关题不考工具名词与最新模型，考生成用例的审核机制与 AI 产品的可测性设计。
- 2026 年测试开发的 JD 普遍加了硬要求："对 AI Agent 有理解和实践"、"熟悉 MCP 与评测流水线"。面试重心从"功能对不对"扩到"AI 的行为可不可信"：幻觉、RAG 检索质量、Agent 决策链路、安全对抗都要能设计测法。传统自动化只是门槛，AI 应用的评测能力是分水岭。

## 项目 / 实习怎么深挖

简历上出现下面这类经历时从哪里切、追什么。追到候选人能说出机制、数字的来源与一次真实的故障或取舍才算实；只有框架名与结论、说不出自己那一段的，记为危险信号。通用的追问方法见 project-deep-dive。

- 简历出现"自动化测试框架" → 追分层设计、用例数、失败率、维护成本、发现的真实缺陷数。
- 简历出现"性能测试""压测" → 追场景模型、瓶颈定位过程、容量结论、与生产的差异。
- 简历出现测试平台或工具 → 追用户数、采用率、效率数据、最大的设计失误。
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add yuecao365/offercome/test-qa@sha256:ae43439a1d6bb3f1

The line at the top of this page pins the label git:20260920.a4843f5, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_7nlwvvinlbcdsmmz.svg)](https://markdownregistry.com/a/art_7nlwvvinlbcdsmmz)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Sep 8, 2026 and Sep 20, 2026, about one every 6 days.

versioncommittedcommitsizeaudit
git:20260920.a4843f5 latest2026-09-20 a4843f5 11,883 BA view · diff
git:20260919.2ea53042026-09-19 2ea5304 12,329 BA view · diff
git:20260908.a2a662c2026-09-08 a2a662c 14,694 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (11883 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

yuecao365/offercome · 24 stars · license MIT · pushed 2026-10-01 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_7nlwvvinlbcdsmmz
GET https://markdownregistry.com/api/v1/resolve?ref=yuecao365/offercome/test-qa
GET https://markdownregistry.com/api/v1/blob/ae43439a1d6bb3f160de53d1a01dffba334c33b2a550b52cb8fb42b3064d27c2

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in yuecao365/offercome

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