team-interview

team-interview is a skill for Claude Code, Codex from ketor/cto-fleet. It costs 125 tokens per session (8,847 once invoked), scanned B, original, Apache-2.0.

A workflow that creates technical interview questions from a real codebase. It analyzes project patterns, has two designers create questions independently, and checks the results against each other.

In plain words
What is it for?
Use it to create interview questions and scoring guides for backend, frontend, full-stack, DevOps, or SRE roles at junior through staff level.
Why use it?
It avoids generic questions that do not reflect the candidate’s actual work environment. It also helps identify overlap and major problems in the question set.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/ketor/cto-fleet/team-interview
Any agent
npx skills add ketor/cto-fleet --skill team-interview
Clone the repo
git clone --depth 1 https://github.com/ketor/cto-fleet

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for team-interview

README.md
[![agentmods](https://agentmods.dev/badge/skills/ketor/cto-fleet/team-interview.svg)](https://agentmods.dev/skills/ketor/cto-fleet/team-interview)
Your own site
<a href="https://agentmods.dev/skills/ketor/cto-fleet/team-interview"><img src="https://agentmods.dev/badge/skills/ketor/cto-fleet/team-interview.svg" alt="Measured on agentmods" height="20"></a>
Per session 125 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,847 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00125 $0.08847
Opus 5 $0.00063 $0.04424
Sonnet 5 $0.00025 $0.01769
Haiku 4.5 $0.00013 $0.00885

Measured 5d ago against content hash 0d4149073ffb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

team-interview scanned grade B with 1 finding 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 5d 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

- 目录路径:`/tmp/{team-name}/`(team lead 在 TeamCreate 后执行 `mkdir -p /tmp/{team-name} && chmod 700 /tmp/{team-name}`)
team-interview/SKILL.md · 668 lines

How it starts

The opening of the file, as written. The whole thing — 668 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Preamble (run first)

_UPD=$(~/.claude/skills/cto-fleet/bin/cto-fleet-update-check 2>/dev/null || true)
[ -n "$_UPD" ] && echo "$_UPD" || true

If output shows UPGRADE_AVAILABLE <old> <new>: read ~/.claude/skills/cto-fleet/cto-fleet-upgrade/SKILL.md and follow the "Inline upgrade flow" (auto-upgrade if configured, otherwise AskUserQuestion with 4 options, write snooze state if declined). If JUST_UPGRADED <from> <to>: tell user "Running cto-fleet v{to} (just updated!)" and continue.

参数解析:从 $ARGUMENTS 中检测以下标志:

  • --auto:完全自主模式(不询问用户任何问题,全程自动决策)
  • --once:单轮确认模式(将所有需要确认的问题合并为一轮提问,确认后全程自动执行)
  • --role=backend|frontend|fullstack|devops|sre:目标岗位(默认 fullstack
  • --level=junior|mid|senior|staff:候选人级别(默认 mid
  • --count=N:题目数量(默认 5

解析后将标志从项目路径或描述中移除。

模式 用户确认范围 条件节点处理
标准模式(默认) 代码库分析确认 + 题目内容确认 正常询问用户
单轮确认模式--once 仅最终题目集确认 自动决策 + 收尾汇总
完全自主模式--auto 不询问用户 全部自动决策,收尾汇总所有决策

单轮确认模式下条件节点自动决策规则:

  • 代码库分析有疑问 → team lead 根据项目结构自行判断,在最终输出中说明
  • 两位 designer 出题方向重叠 → team lead 去重合并后裁决,收尾时汇总
  • 重叠超过 50%不可跳过,必须暂停问用户(熔断机制)
  • reviewer 判定题目有重大问题(泄露敏感信息/无法在面试时间内完成/评分标准模糊)不可跳过,必须暂停问用户(熔断机制,单轮确认模式和完全自主模式均适用)

完全自主模式下:所有节点均自动决策,不询问用户。熔断机制仍然生效——触发熔断条件时是唯一会暂停询问用户的情况。

  • 项目过大无法完整分析 → analyst 识别核心模块,聚焦高价值面试场景

岗位与级别说明:

岗位 侧重领域
backend 后端架构、API 设计、数据存储、并发处理、性能优化
frontend 前端架构、组件设计、状态管理、性能优化、用户体验
fullstack 全栈覆盖,前后端均衡
devops CI/CD、基础设施、容器化、监控告警、自动化运维
sre 可靠性工程、故障排查、性能调优、容量规划、事故响应
级别 题目难度与考察深度
junior 基础实现能力、代码风格、简单模块开发、常见 bug 定位
mid 模块设计能力、跨模块数据流理解、性能基础优化、Code Review 能力
senior 系统设计能力、架构 trade-off 分析、复杂问题拆解、技术决策论证
staff 跨系统架构、技术战略、大规模重构方案、团队技术规范制定

使用 TeamCreate 创建 team(名称格式 team-interview-{YYYYMMDD-HHmmss},如 team-interview-20260308-143022,避免多次调用冲突),你作为 team lead 按以下流程协调。

Read the full file on GitHub · 668 lines

Changes

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.

  1. 5d ago First seen · 668 lines · 0 tokens per session scan B 0d4149073ffb

Subscribe to this mod's changes

team-interview is a skill published in the GitHub repository ketor/cto-fleet (5 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 125 tokens to every session and 8,847 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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