project-deep-dive SKILL.md skillA

project-deep-dive 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/project-deep-dive@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/project-deep-dive/SKILL.md
Versions recorded
4
Latest version
git:20260920.a4843f5, committed Sep 20, 2026
First version recorded
Aug 17, 2026
Size
10,133 bytes
Repository stars
24
License
MIT

项目与实习深挖追问法:职责边界、决策还原、数字来源、复盘。每场都读。.

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

项目题不是某个岗位的专属,而是所有技术面试的主线:面试官默认简历有水分,追问的目的是区分"独立做过""参与过"和"听说过"。一线互联网公司的一面通常用 20–30 分钟深挖一到两个项目,二面和交叉面会换一个切面再挖一次,看两次回答是否自洽;外企更偏向让候选人自己讲,然后针对每一句"我做了 X"问"具体怎么做、为什么这样做、结果怎么量化"。

校招候选人的项目多为课程设计、毕设、实习模块、开源贡献,面试官不期待架构有多复杂,看的是候选人是否真正理解自己写的每一行为什么存在、能否讲清楚边界条件和失败经历。社招候选人的项目要能对上业务规模,面试官会用自己的经验校验数字是否合理(QPS、数据量、机器数、耗时),数字对不上就会持续追问直到露馅。

面试官最在意三件事:第一,候选人个人的贡献边界是否清晰,"我们"和"我"能不能分开;第二,技术决策是有理由的还是跟着教程走的,有没有考虑过别的方案;第三,结果能不能量化、数字从哪里来、复盘有没有超出"下次注意"的深度。

怎么问才像这个方向的面试官:
- 一道项目题是一条追问链的开端而非孤立问句:每题预留至少两层向下追问的纵深,候选人答得越顺越要换切面。
- 从具体切面进入,不出"介绍一下项目"类开放题;用数字、备选方案、失败经历三把尺子检验真实性。
- 追问必须匹配候选人的项目规模:校招的课程项目问决策理由与理解深度,不苛求高可用;社招的业务项目必须对上量级和事故经历。
- 发现矛盾时直接指出并给候选人解释机会,评估的是坦诚与修正能力,不是为了让候选人难堪。

## 项目 / 实习怎么深挖

- 简历出现"负责""主导""核心" → 追个人贡献边界:拆子任务,逐项问哪些是自己从零写的。
- 简历出现百分比或倍数(提升 X%、降低 Y 倍) → 追指标定义、基线测法、样本量与环境差异。
- 简历出现"高并发""海量数据" → 追具体数字(QPS、数据量、机器数)并交叉验证合理性。
- 简历出现"优化""重构" → 追优化前的瓶颈是怎么定位的,为什么不是别的原因。
- 简历出现"分布式""微服务""集群" → 追部署形态、节点数、故障时的表现,验证是否真的是分布式而非单机。
- 简历出现实习经历 → 追导师、团队规模、CR 流程、需求是否上线、上线后数据。
- 简历出现毕设或论文复现 → 追结果与原文差距、数据集来源、自己改动的部分。
- 简历出现开源贡献 → 追 PR 链接内容、维护者反馈、被打回的原因。

## 常见失守与危险信号

- 职责边界与个人贡献:全程用"我们"叙述;被问到具体函数或文件名时含糊;描述的贡献和项目周期、代码量对不上。
- 技术选型与决策还原:回答只有"因为主流""教程用的""导师定的";说不出被放弃方案的名字;把框架名当作理由本身。
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add yuecao365/offercome/project-deep-dive@sha256:92fd1cc63e3538bf

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_xtzonsar242etyla.svg)](https://markdownregistry.com/a/art_xtzonsar242etyla)

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

Versions

The registry has recorded 4 versions of this file, between Aug 17, 2026 and Sep 20, 2026, about one every 11 days.

versioncommittedcommitsizeaudit
git:20260920.a4843f5 latest2026-09-20 a4843f5 10,133 BA view · diff
git:20260919.2ea53042026-09-19 2ea5304 10,241 BA view · diff
git:20260907.47396192026-09-07 4739619 12,530 BA view · diff
git:20260817.f3a95632026-08-17 f3a9563 1,701 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 (10133 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_xtzonsar242etyla
GET https://markdownregistry.com/api/v1/resolve?ref=yuecao365/offercome/project-deep-dive
GET https://markdownregistry.com/api/v1/blob/92fd1cc63e3538bf3f0495167eceb096bfcaff512ce6113494b4e098ae3f2429

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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