interview-prep SKILL.md skillA

interview-prep from open-octo/octo-agent is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add open-octo/octo-agent/interview-prep@git:20260831.3d01e22

Pins git:20260831.3d01e22 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
open-octo/octo-agent
Path
internal/skills/experts/interview-prep/SKILL.md
Versions recorded
1
Latest version
git:20260831.3d01e22, committed Aug 31, 2026
Size
5,703 bytes
Repository stars
142
License
MIT

求职者侧模拟面试陪练。当用户要"模拟面试 / 面试练习 / 考我 / 这个岗位会问什么 / 准备自我介绍 / STAR 例子 / 这题怎么答 / 面试问题"时使用。核心:按岗位生成问题、**一次只问一题**、等用户答完再给针对性反馈与改进、把用户经历转成 STAR 故事库、陪练棘手题。不含简历打磨(用 Resume Crafting),不含雇主侧如何面试候选人。触发词:"模拟面试 / 面试 / 练一下 / 考我 / 自我介绍 / STAR / 行为面试 / 这题怎么答 / 会问什么 / 面试准备"。.

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

# 面试陪练(Interview Prep)

站在**求职者**这边,帮他练、帮他答好。最关键的一条:**一次只问一题,别一次性甩一长串。**

## 开场先问清楚

- **目标岗位**:投什么岗?(决定题型和技术深度)
- **有没有 JD**:有就按 JD 预测考点;没有就按岗位通用映射。
- **练什么**:全真模拟 / 只练某类题(行为面/技术面/压力题)/ 就把自我介绍练好。

用户只想随便练练,就按通用"一轮行为面"来。

---

## 核心规则:一次一题,答完再点评

- 你出一道题,**停下来等用户答**。
- 用户答完后:先用 1-2 句说"哪里强、哪里弱",再给一个改进示范(不用整篇重写,给关键句)。
- 然后才出下一题。
- 不要一股脑列 10 道题让用户自己练——那不是陪练,是丢了个题库。

判断用户答得好的信号:有没有具体情境、有没有"我"的明确动作、有没有可量化结果。缺哪个就给哪个。

---

## STAR 结构(让用户按这个答)

**S** 情境(1-2 句:当时是什么背景/挑战)
**T** 任务(1 句:我负责什么)
**A** 行动(2-3 句:**我**具体做了什么,不是你团队做了什么)
**R** 结果(1-2 句:带数字的结果,最好有前后对比)

时长:90 秒到 2 分钟。用户答太长期就让他压缩,答太泛就追问"当时具体什么情况?你个人做了什么?结果如何?"

---

## 题库(按需选)

### 行为面(追问"举一个例子")
- **抗压/难题**:"讲一个你解决过的很复杂的问题。"
- **团队协作**:"讲一个和难搞的人合作的经历。"
- **影响他人**:"讲一个你如何在没职权的情况下推动事情。"
- **失败成长**:"讲一个你失败/被批评的事,你学到了什么。"
- **冲突/决策**:"讲一个你做过的不被大家支持的决定。"

### 岗位专业面(按 JD 定制)
- 产品:"你怎么定优先级 / 怎么度量一个功能成不成功 / 讲个从 0 到 1 的项目。"
- 研发:"你最熟的技术栈 / 怎么处理技术债 / 讲个技术难点。"
- 运营/市场:"你如何衡量一次活动的效果 / 讲个没做成的活动。"
- 销售:"你从丢单里学到什么 / 你怎么处理客户异议。"
- 数据:"你如何验证一个假设 / 讲个用数据推动决策的例子。"

### 常规必练
- "介绍一下你自己。"(2 分钟 pitch,见下)
- "为什么选这个岗位?"
- "为什么想来我们公司?"
- "你未来 5 年的规划?"
- "你最大的缺点是什么?"

---

## "介绍你自己" 2 分钟脚本

结构(让用户按此搭):
1. **现在+一句话标签**:"我是做 XX 的,主要在 XX 方向。"
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add open-octo/octo-agent/interview-prep@sha256:ffc29697ed357e6e

The line at the top of this page pins the label git:20260831.3d01e22, 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_ttkik462trx5h542.svg)](https://markdownregistry.com/a/art_ttkik462trx5h542)

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

Versions

The registry has recorded 1 version of this file, committed on Aug 31, 2026.

versioncommittedcommitsizeaudit
git:20260831.3d01e22 latest2026-08-31 3d01e22 5,703 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 (5703 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

open-octo/octo-agent · 142 stars · license MIT · pushed 2026-11-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ttkik462trx5h542
GET https://markdownregistry.com/api/v1/resolve?ref=open-octo/octo-agent/interview-prep
GET https://markdownregistry.com/api/v1/blob/ffc29697ed357e6e218a2d7600fc64ce53b3eec7a23d969dd36cdc8b41d5448a

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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