Agent skill

Job Advisor

by digoal in digoal/blog

根据用户的个人特征(技能、时间、体力、学历、所在城市、期望收入等),从网络上抓取最新招聘信息(包括闲鱼、BOSS直聘、58同城、拉钩、猎聘、智联招聘等平台),按性价比(时薪/日薪、通勤成本、门槛匹配度)排序,输出适合该用户接的活(长期岗位、兼职、临时工均纳入),以图文并茂的 Markdown 文件保存到项目 markdown/…

GPL-2.0Auto-check passedDocuments & Office

Install Job Advisor

skills CLI
$ npx skills add digoal/blog --skill job-advisor -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install digoal/blog job-advisor --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skills_for_claude_web/job-advisor .claude/skills/job-advisor && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
job-advisor
GitHub stars
8.6k
Token cost
~1.4k tokens
SKILL.md length
245 words
Files
1
Skills in repo
98
Repo updated
First seen
Licence
GPL-2.0

At a glance

根据用户的个人特征(技能、时间、体力、学历、所在城市、期望收入等),从网络上抓取最新招聘信息(包括闲鱼、BOSS直聘、58同城、拉钩、猎聘、智联招聘等平台),按性价比(时薪/日薪、通勤成本、门槛匹配度)排序,输出适合该用户接的活(长期岗位、兼职、临时工均纳入),以图文并茂的 Markdown 文件保存到项目 markdown/…

  • Works in 5 steps: :构建用户画像 → :确定搜索策略 → :网络抓取与信息收集 → …
  • Tasks that involve Markdown
  • SKILL.md covers 工作流总览, Step 1:构建用户画像, Step 2:确定搜索策略 and Step 3:网络抓取与信息收集, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Job Advisor is an agent skill from digoal/blog. 根据用户的个人特征(技能、时间、体力、学历、所在城市、期望收入等),从网络上抓取最新招聘信息(包括闲鱼、BOSS直聘、58同城、拉钩、猎聘、智联招聘等平台),按性价比(时薪/日薪、通勤成本、门槛匹配度)排序,输出适合该用户接的活(长期岗位、兼职、临时工均纳入),以图文并茂的 Markdown 文件保存到项目 markdown/ 目录。触发条件:用户描述自己的个人情况并希望找活干;提到"帮我找工作"、"我想接活"、"有什么活可以做"、"找兼职"、"找临时工"、"找副业"、"找长期工作"、"我能做什么工作"、"帮我匹配工作"、"找适合我的岗位"、"按性价比推荐工作"、"哪些活值得接"、"我有这些技能能做什么"等。即使用户只是说"我现在没工作,帮我找找看"或者给出了个人情况描述,也应立即使用本 skill。

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Documents & Office, covering Markdown. The repository describes itself as: AI,Opensource,Database,Business,Finance,Minds. git clone --depth 1 https://github.com/digoal/blog. The licence is GPL-2.0.

When your agent uses it

  • Tasks that involve Markdown

Example prompts

  • “有什么活可以做”
  • “我能做什么工作”
  • “帮我匹配工作”
  • “/job-advisor”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. :构建用户画像
  2. :确定搜索策略
  3. :网络抓取与信息收集
  4. :性价比评分与排序
  5. :Markdown 报告生成

What it can do on your machine

Read from SKILL.md and the folder at commit ad6fcb7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown and svg).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Job Advisor loads about 1.4k tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 245 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from digoal/blog at commit ad6fcb7, republished under its GPL-2.0 licence (© digoal). 245 words, ~1,375 tokens.

Download SKILL.mdSave it as .claude/skills/job-advisor/SKILL.md (or your agent's skills folder).
name
job-advisor
description
根据用户的个人特征(技能、时间、体力、学历、所在城市、期望收入等),从网络上抓取最新招聘信息(包括闲鱼、BOSS直聘、58同城、拉钩、猎聘、智联招聘等平台),按性价比(时薪/日薪、通勤成本、门槛匹配度)排序,输出适合该用户接的活(长期岗位、兼职、临时工均纳入),以图文并茂的 Markdown 文件保存到项目 markdown/ 目录。触发条件:用户描述自己的个人情况并希望找活干;提到"帮我找工作"、"我想接活"、"有什么活可以做"、"找兼职"、"找临时工"、"找副业"、"找长期工作"、"我能做什么工作"、"帮我匹配工作"、"找适合我的岗位"、"按性价比推荐工作"、"哪些活值得接"、"我有这些技能能做什么"等。即使用户只是说"我现在没工作,帮我找找看"或者给出了个人情况描述,也应立即使用本 skill。

Job Advisor — 智能求职匹配顾问

根据用户画像,从网络抓取实时招聘信息,按性价比排序后输出求职推荐报告。


工作流总览

用户输入个人特征
       ↓
Step 1: 构建用户画像(提取关键维度)
       ↓
Step 2: 确定搜索策略(平台 + 关键词)
       ↓
Step 3: 网络抓取招聘信息(多平台并发搜索)
       ↓
Step 4: 计算性价比评分并排序
       ↓
Step 5: 生成 Markdown 求职推荐报告
       ↓
输出到 markdown/ 目录

Step 1:构建用户画像

拿到用户描述后,提取并整理以下维度(缺失项设为"不限/未知",不要反复追问,直接用合理默认值推进):

维度说明示例
城市/区域求职地点上海市浦东新区
技能标签硬技能(会什么)Excel、驾照C1、焊接、PS
可用时间全职/兼职/周末/节假日工作日白天空闲
体力状况能否承受体力工作轻体力可接受
学历最高学历大专
期望收入月薪/日薪/时薪月入5000以上
工作经验年限与行业3年餐饮管理
特殊限制禁忌/偏好不夜班、不出差
工作类型偏好长期/临时/接单均可接受

画像摘要示例:

城市:广州天河 | 技能:Excel+普通话 | 时间:周末全天
体力:轻体力 | 学历:本科 | 期望日薪:200+
经验:2年行政 | 禁忌:无需夜班

Step 2:确定搜索策略

2.1 平台优先级矩阵

根据用户类型选择搜索平台:

求职类型优先平台补充平台
长期全职BOSS直聘、智联招聘、猎聘拉钩(互联网)、前程无忧
兼职/临时闲鱼(找人)、58同城兼职美团众包、滴滴快送
技能接单猪八戒、一品威客、接单宝闲鱼技能频道
蓝领体力58同城、赶集网、招工猫美招工
创意/设计站酷JOBS、Behance、设计师客栈豆瓣小组
教培家教家教帮、新东方在线、课外辅导闲鱼、本地微信群
2.2 搜索关键词生成规则

结合用户技能与城市生成 3~5 组 搜索词:

主词 = 岗位名/技能词(如"行政助理"/"Excel兼职")
修饰词 = 城市 + 工作类型(如"广州 周末兼职")
完整搜索词 = 主词 + 修饰词

示例:

  • "广州天河 行政兼职"
  • "广州 Excel 数据录入 周末"
  • "天河区 文员 临时工"
  • "广州 兼职招聘 本科 日结"

Step 3:网络抓取与信息收集

3.1 搜索执行

使用 web_search 工具,依次搜索 Step 2 生成的关键词组合。每次搜索后:

  1. 提取岗位名、薪资、工作地址、要求、发布时间
  2. 剔除明显过期(超过30天)的信息
  3. 剔除门槛明显不符合用户画像的岗位

必搜的平台直链格式(用 web_search 搜索,不要直接 fetch):

site:bosszhipin.com [城市] [岗位]
site:58.com [城市] [岗位]
[闲鱼/xianyu] [城市] [技能] 招人
3.2 信息提取字段

每条岗位信息提取:

岗位名称:____
发布平台:____
薪资范围:____(日薪/月薪/时薪,统一换算为时薪)
工作地点:____(区/街道,估算通勤时间)
工作时间:____(全职/兼职/日结/周结)
技能要求:____(是否与用户匹配)
学历要求:____
经验要求:____
发布时间:____
发布链接:____(如可获取)
3.3 搜索补充策略

如果直接搜索结果不足(少于5条),则:

  1. 放宽地理范围(从区级扩展到市级)
  2. 降低技能匹配精度(搜宽泛岗位类别)
  3. 搜索同类平台的聚合信息(如"[城市] 兼职招聘汇总 2024")
  4. 搜索本地论坛、豆瓣小组等非主流渠道

Step 4:性价比评分与排序

4.1 性价比评分模型

每个岗位计算综合评分(满分100分):

综合评分 = 薪资分(40) + 门槛匹配分(30) + 便利分(20) + 稳定性分(10)

薪资分(40分) — 换算为时薪后对比:

时薪区间评分
用户期望1.5倍以上40
用户期望1.0~1.5倍30
用户期望0.8~1.0倍20
低于用户期望0.8倍10
无薪资信息15(中性)

门槛匹配分(30分):

匹配度评分
完全匹配(技能/学历/经验全部符合)30
大部分匹配(2/3以上符合)22
部分匹配(可快速学习补齐)14
勉强匹配(需要较大提升)6
不匹配0(直接过滤)

便利分(20分) — 综合通勤与时间:

条件加分
通勤30分钟内+10
时间完全符合用户可用时段+6
可远程/在家完成+10(替代通勤加分)
日结/周结(现金流快)+4

稳定性分(10分):

类型评分
知名公司/平台认证10
中小企业正规发布7
个人发布(闲鱼等)4
来源不明/模糊2
4.2 排序规则
  1. 主排序:综合评分从高到低
  2. 同分时:薪资分优先
  3. 过滤掉评分低于40分的岗位(不符合基本条件)
  4. 最终展示:前10名,特殊情况保留到15名

Step 5:Markdown 报告生成

5.1 文件结构
markdown/
├── job-advice-[城市简称]-[日期].md    ← 主报告
└── job-score-chart.svg                 ← 评分可视化图(可选)
5.2 报告模板
markdown
# 🧭 求职推荐报告

> 为你量身匹配的活,按性价比从高到低排列

**你的画像摘要**:[城市] · [核心技能] · [可用时间] · 期望[收入目标]  
**报告生成时间**:[YYYY-MM-DD]  
**数据来源**:BOSS直聘 / 58同城 / 闲鱼 / 其他平台(实时抓取)

---

## 🏆 TOP 推荐岗位

### 🥇 第1名:[岗位名称]
**综合评分**:⭐⭐⭐⭐⭐ [XX分/100]

| 项目 | 详情 |
|------|------|
| 薪资 | [具体数字] / [时薪换算] |
| 工作地点 | [地点] · 预计通勤 [X] 分钟 |
| 工作时间 | [全职/兼职/日结] |
| 技能要求 | [要求列表] |
| 门槛难度 | 🟢 完全符合 / 🟡 基本符合 / 🔴 有差距 |
| 发布平台 | [平台名] |
| 发布时间 | [X天前] |

**为什么推荐给你**:[1~2句针对该用户画像的个性化理由]

**怎么去申请**:[具体行动建议,如搜索词/链接/联系方式]

---

[重复以上格式,第2~10名]

---

## 📊 性价比总览图

[ASCII 表格或 Mermaid 图表,横轴=薪资,纵轴=门槛难度]

```
高薪 │ [岗位D]              [岗位A]
     │         [岗位C]
低薪 │         [岗位B]
     └────────────────────────────→
       高门槛              低门槛(容易入手)
```

---

## 💡 求职策略建议

### 短期(本周就能投)
- [具体建议1]
- [具体建议2]

### 中期(1个月内提升竞争力)
- [技能补充建议]
- [证书/认证建议]

### 求职注意事项
- ⚠️ [平台特有的防骗提示]
- 💬 [谈薪技巧]
- 📱 [推荐使用的APP或渠道]

---

## 📌 数据说明
- 本报告数据来源于公开招聘平台,实时性以搜索时间为准
- 薪资为挂牌价,实际以面试结果为准
- 性价比评分为综合估算,仅供参考
5.3 SVG 评分图表规范(可选,适合岗位多于5个时生成)
svg
<!-- 气泡图:X轴=门槛难度(低→高),Y轴=薪资(低→高),气泡大小=便利度 -->
宽度:800px
高度:500px
颜色方案:
  - 综合评分80+:#22c55e(绿)
  - 综合评分60~79:#f59e0b(黄)
  - 综合评分40~59:#ef4444(红)
字体:Arial / 思源黑体

特殊情景处理

情景 A:用户无明确技能

→ 重点搜索:日结劳务、快递分拣、商场促销、展会礼仪、传单发放、问卷调查 → 薪资分以体力日薪(150~250元/天)为基准参考

情景 B:用户有专业技能(如程序员、设计师、会计)

→ 重点搜索:自由接单、猪八戒网、Upwork(如有英语)、行业垂直平台 → 补充搜索:远程工作、副业接单

情景 C:用户在三四线城市或县城

→ 搜索关键词加入"本地"、"县城"、"[具体城市名]" → 补充搜索本地微信群/QQ群招工信息(搜索"[城市] 招工群"等) → 优先推荐:本地企业工厂、电商代运营、外卖跑腿、快递站点

情景 D:用户有时间限制(如只有周末)

→ 过滤掉明确需要"全职"或"周一至周五"的岗位 → 重点:展会兼职、婚庆摄影助理、景区临时工、促销导购

情景 E:搜索结果全部过期或质量差

→ 在报告中明确说明"当前搜索结果有限" → 提供搜索建议:告诉用户在哪些平台用哪些词自行搜索 → 补充"行业规律":这类岗位通常何时发布、如何联系更有效


质量自检清单

输出前对照检查:

  • 是否基于用户画像生成了个性化搜索词?
  • 是否实际搜索了至少3个不同来源的信息?
  • 每条岗位是否标注了平台来源与发布时间?
  • 薪资是否统一换算为时薪便于横向比较?
  • 性价比评分是否有依据(不是主观拍脑袋)?
  • 排序是否从高分到低分?
  • 是否包含具体的"怎么申请"行动指引?
  • 是否包含防骗提示(尤其是闲鱼/个人发布)?
  • 报告是否保存到 markdown/ 目录?
  • 文件名是否包含城市和日期?

触发示例

以下均应触发本 Skill:

  • "我在深圳,会开车,想接点临时工,有什么推荐?"
  • "我是本科学历,有Excel技能,周末空闲,帮我找兼职"
  • "刚失业,在广州,能做什么工作?"
  • "我会修电脑,想在成都找副业,推荐几个有性价比的活"
  • "我是大专,做过仓储,想找日结的工作,哪里有?"
  • "帮我分析一下我适合什么工作,我是……"
  • "有没有适合宝妈的兼职?我在武汉,只有上午空闲"
  • "我想找临时工,不限行业,按时薪高低给我排个序"

© digoal, GPL-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/skills_for_claude_web/job-advisor of digoal/blog.

Open the folder on GitHubat commit ad6fcb7

Compare with similar skills

Job Advisor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Job Advisor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Job Advisor this skilldigoal/blog8.6k—~1.4kAutomated safety check: PassGPL-2.0
Markdown Article FormatterJimLiu/baoyu-skills27k6 repos~3.5kAutomated safety check: PassMIT
MarkitdownImCa0/just-laws78114 repos~3.2kAutomated safety check: NotesMIT
Obsidian MarkdownAtmosphere/atmosphere3.8k20 repos~1.3kAutomated safety check: PassApache-2.0
Crosspostingwasp-lang/wasp19k—~1.1kAutomated safety check: PassMIT
Gzh Designisjiamu/gzh-design-skill4k—~2.2kAutomated safety check: PassAGPL-3.0

Similar skills

  • Markdown Article Formatter

    JimLiu/baoyu-skills

    Reformats plain text or Markdown articles with frontmatter, a title, a summary, headings, bold, lists and code blocks, and saves a separate formatted copy.

    27k GitHub starsUsed in 6 repos~3.5k tokens
    Documents & OfficeAuto-check passed
  • Markitdown

    ImCa0/just-laws

    Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.

    781 GitHub starsUsed in 14 repos~3.2k tokens
    Documents & OfficeAuto-check: notes
  • Obsidian Markdown

    Atmosphere/atmosphere

    Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax.

    3.8k GitHub starsUsed in 20 repos~1.3k tokens
    Documents & OfficeAuto-check passed
  • Crossposting

    wasp-lang/wasp

    Crosspost Wasp blog articles (MDX) to DEV.to and Medium. An agent skill from wasp-lang/wasp.

    19k GitHub stars~1.1k tokensUpdated yesterday
    Documents & OfficeAuto-check passed
  • Gzh Design

    isjiamu/gzh-design-skill

    微信公众号文章排版引擎,将 Markdown 转换为可直接粘贴到公众号编辑器的 HTML。主题风格从 references/theme-index.md 注册的自定义主题库中选取,自动章节编号、关键词下划线标记、引言卡片、目录导航、代码块、图片/GIF、作者签名。支持 Markdown / Word(.docx) / PDF / 纯文本输入(非 Markdown…

    4k GitHub stars~2.2k tokensUpdated yesterday
    Documents & OfficeAuto-check passed
  • Review The Docs

    supabase/supabase

    Official

    Review Supabase docs changes locally in your supabase/supabase checkout — either an open PR (triage, classify, verify) or your own branch before opening a PR (local self-review).

    111k GitHub stars~4.6k tokensUpdated today
    Documents & OfficeAuto-check passed

More from digoal/blog

All 98 skills in this repo
  • 三层审查模型,逐段逐句验证文章真伪、证据链与逻辑结构。Use when the user asks to fact-check, verify, audit, or evaluate the credibility of an article, essay, report, opinion piece, social-media post, or any written claim —…

    8.6k GitHub stars~939 tokensUpdated yesterday
    Auto-check passed
  • Find latent bugs in a local PostgreSQL source tree (RELxxSTABLE branch or HEAD) the way a core hacker does: build a heavily-poisoned debug instance (cassert + cache-discard + -O0/-ggdb3 + core…

    8.6k GitHub stars~4k tokensUpdated yesterday
    Auto-check passed
  • Digoal

    digoal/blog

    Portable digital employee distilled from digoal's personal blog for PostgreSQL, PolarDB, DuckDB, AI+database, vector/RAG, database operations, source-code reading, technical content creation…

    8.6k GitHub stars~2.2k tokensUpdated yesterday
    Auto-check passed
  • 从论文 PDF 文件或论文 PDF URL 生成通俗易懂、图文并茂、带批判性评估的中文 Markdown 解读,并保存到当前项目的 markdown 目录。Use when the user asks to interpret,精读,解读,summarize,explain,analyze, or write an article from an academic paper PDF…

    8.6k GitHub stars~1.5k tokensUpdated yesterday
    Auto-check passed
  • Analyze a product from documentation, websites, PDFs, articles, release notes, pricing pages, app listings, reviews, filings, or related links; save separate intermediate analyses from seven roles…

    8.6k GitHub stars~1.8k tokensUpdated yesterday
    Auto-check passed
  • Turn a blog post, article, notes, or any source material into a set of vertical poster images — one cover plus several coherent content slides that explain the core points.

    8.6k GitHub stars~1.4k tokensUpdated yesterday
    Auto-check passed

Questions about Job Advisor

What does Job Advisor do?

根据用户的个人特征(技能、时间、体力、学历、所在城市、期望收入等),从网络上抓取最新招聘信息(包括闲鱼、BOSS直聘、58同城、拉钩、猎聘、智联招聘等平台),按性价比(时薪/日薪、通勤成本、门槛匹配度)排序,输出适合该用户接的活(长期岗位、兼职、临时工均纳入),以图文并茂的 Markdown 文件保存到项目 markdown/…. Job Advisor is an agent skill from digoal/blog.

When should I use Job Advisor?

Job Advisor fits situations like: tasks that involve Markdown.

How do I install Job Advisor in Claude Code?

Run `npx skills add digoal/blog --skill job-advisor -a claude-code`. Or copy the skill folder (skills/skills_for_claude_web/job-advisor in digoal/blog) into .claude/skills/job-advisor in your project. Claude Code loads it when a task matches its description.

How do I install Job Advisor in Codex?

Run `npx skills add digoal/blog --skill job-advisor -a codex`. Or copy the skill folder (skills/skills_for_claude_web/job-advisor in digoal/blog) into .agents/skills/job-advisor in your project. Codex loads it when a task matches its description.

Can I use Job Advisor in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add digoal/blog --skill job-advisor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/job-advisor, .gemini/skills/job-advisor, .github/skills/job-advisor and .opencode/skills/job-advisor in your project.

What does Job Advisor need to run?

SKILL.md names no scripts, command-line tools or credentials: Job Advisor is instructions for the agent only.

Does Job Advisor access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Job Advisor safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Job Advisor use?

Job Advisor is published under the GPL-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Job Advisor use?

About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Job Advisor?

Skills that share tags, products or a category with Job Advisor: Markdown Article Formatter (JimLiu/baoyu-skills, 27k stars), Markitdown (ImCa0/just-laws, 781 stars), Obsidian Markdown (Atmosphere/atmosphere, 3.8k stars) and Crossposting (wasp-lang/wasp, 19k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Job Advisor?

digoal (a GitHub user) maintains it in digoal/blog, which has 8,588 GitHub stars. The repository holds 98 skills in this directory. The repository was last updated on October 9, 2026.

Source: digoal/blog on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.