ask-viy

ask-viy is a skill for Claude Code from Viy1204/recruiting-copilot. It costs 37 tokens per session (1,360 once invoked), scanned A, original, MIT.

A guide for using a collection of recruiting tools through ordinary-language requests. It covers setting up a recruiting workspace, defining job requirements, reviewing candidates, searching talent, scheduling interviews, and running daily recruiting work.

In plain words
What is it for?
Use it to organise recruiting standards, screen people, map the talent market, review resumes, maintain a candidate log, and arrange interviews.
Why use it?
It helps recruiters choose the right workflow without memorising the names or order of separate tools.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the recruiting-copilot plugin — 7 skills, 7 commands shipped together

Good fit Use it to organise recruiting standards, screen people, map the talent market, review resumes, maintain a candidate log, and arrange interviews.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/viy1204/recruiting-copilot/ask-viy
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.

Any agent
npx skills add Viy1204/recruiting-copilot --skill ask-viy
Clone the repo
git clone --depth 1 https://github.com/Viy1204/recruiting-copilot

Made for: Claude Code.

Or install recruiting-copilot, the plugin that ships this one along with the rest of its 7 skills, 7 commands.

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 ask-viy

README.md
[![agentmods](https://agentmods.dev/badge/skills/viy1204/recruiting-copilot/ask-viy/github.svg)](https://agentmods.dev/skills/viy1204/recruiting-copilot/ask-viy)
Your own site
<a href="https://agentmods.dev/skills/viy1204/recruiting-copilot/ask-viy"><img src="https://agentmods.dev/badge/skills/viy1204/recruiting-copilot/ask-viy/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.

agentmods 80×15 button for ask-viy

Your own site · 80×15
<a href="https://agentmods.dev/skills/viy1204/recruiting-copilot/ask-viy"><img src="https://agentmods.dev/badge/skills/viy1204/recruiting-copilot/ask-viy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,360 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00037 $0.01360
Opus 5 $0.00018 $0.00680
Sonnet 5 $0.00007 $0.00272
Haiku 4.5 $0.00004 $0.00136

Measured 11d ago against content hash 36df5cd88776, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

ask-viy 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 11d 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.

skills/ask-viy/SKILL.md · 68 lines

What it actually says

Ask Viy —— 这套工具怎么用

你不需要记住任何 skill 的名字。跟 AI 说人话("我想看看这个岗位好不好招"),它自己会找到对应流程。这张图给你看全貌,也给 AI 当路标。

被问到时:先看用户处在下面哪个位置,把对应的流程名和入口告诉他,再帮他直接开工。设计理念的完整版在仓库的 docs/DESIGN.md,用户想深究"为什么这么设计"时带他去读。

主线:从零到每天

绝大多数时候,你走的是这条线:

  1. 建工作区recruit-init,只做一次) 说"帮我初始化招聘工作区"。AI 检查该装的工具、建好文件夹、放好模板。 已经有工作区了就跳过;重跑也不怕,它只补缺的,不覆盖你的数据。

  2. 梳理岗位标准recruit-grill,每个岗位做一次) 说"帮我梳理 XX 岗位"。AI 一次一个问题地问你,把"要个厉害的"逼成一条条能执行的标准, 写进 CONTEXT.md(你的招聘标准手册)。半小时到一小时,别糊弄——你随口答的每一句, 都会变成它之后每天筛掉几十个人的依据。

  3. 每天跑流水线recruit-daily,天天用) 说"处理今天的招聘"。查未读 → 按你的标准搜人初筛 → 经你确认后打招呼 → 记台账 → 出日报。 这就是日常的全部。聊出苗子要进面试了,走下面岔路里的"面试预约"。

岔路:什么时候离开主线

  • 某个岗心里没底 / 老板问市场行情 / 招了很久没起色 → 做一次市场盘点(market-talent-mapping)。说"帮我盘一下 XX 岗的市场"。 它会把两个平台的真实人才数据拉下来做统计和深挖,告诉你:这岗市场上有多少人、 薪资什么水位、目标公司的人能不能挖、你的门槛卡得合不合理,附一份能直接执行的名单。 和每日流水线的区别:流水线是每天的增量动作,盘点是一次性的深度调研。

  • 寻了几轮,来的全是错的人 → 大概率标准歪了。带着台账数据回去重新梳理(recruit-grill),重点过硬门槛和命脉两块。

  • 猎头/内推/直投简历要评估,或猎聘/BOSS 简历邮件都在飞书邮箱里 → 简历收取与评估(resume-review)。可以把文件丢给 AI 说"帮我看看这几份简历",也可说"查一下飞书邮箱最近三天的猎聘/BOSS 简历,下载后 review"。 用的是和每日流水线同一套标准,评完自动进同一本台账;"约面"级的还会建好面试档案。 想回忆某个人当时的评价,问"XX 的评级是啥"就行。

  • 候选人要进面试了 / 面试要改期 → 面试预约(interview-schedule)。说"约一下张三的二面,面试官是老王,明天下午"。 AI 查面试官忙闲、建带视频会议链接的日历日程、把面试官拉进去、给你一段发给候选人的邀约话术, 面试档案和台账同步更新。改期取消也走它,三处状态一起改,不放候选人鸽子。

  • 新开了岗位 → 先梳理(recruit-grill),再进每日流水线。没梳理过的岗位,流水线会拒绝开工。

三个日常习惯

  1. 一天一个新会话;梳理岗位也是一岗一个会话。AI 的对话越长判断越钝, 而你的数据都在文件里,新会话什么都不丢。
  2. 打招呼授权只管当天。你说"合适的直接打",它今天放开手、打了谁逐个报,明天要重新授权。
  3. 所有数据就在你的工作文件夹里:标准是 CONTEXT.md,候选人是 02-sourcing 里的台账, 日报在 runtime/reports/,邮件简历和导入索引在 runtime/resumes/。备份整个文件夹 = 备份一切。

常见问题

  • 没有飞书? 基本不影响。日报自动落成本地文档;约面试拿到手动建会清单;邮箱简历改为用户本地提供,review、台账和档案照常。
  • 换了 AI 工具? 不影响。用新工具打开同一个文件夹,一切照旧。
  • AI 会不会替我拒人? 永远不会。"不合适"这个按钮它碰不了,它只能记在台账里等你拍板。
  • 想改标准? 直接说"XX 岗的年龄线改一下"之类,AI 会更新 CONTEXT.md 并记一条带日期的决策。
  • AI 干活的依据是什么? 只有你文件夹里的 CONTEXT.md 和对内笔记。它说的标准和文件不一致时,以文件为准,让它重读。
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. 11d ago First seen · 68 lines · 37 tokens per session scan A 36df5cd88776

Subscribe to this mod's changes

ask-viy is a skill published in the GitHub repository Viy1204/recruiting-copilot (65 stars, last pushed 8d ago), licensed MIT. It adds 37 tokens to every session and 1,360 once invoked, about $0.0002 per session on Opus 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.

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