Matplotlib
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
将 BI 数据分析结果构建为可筛选的交互式 HTML 看板。触发条件：① 用户显式要求「给我看板」时无条件触发；② 取数结果满足以下任一时自动触发——结果集行数10行、存在可筛选维度（产品线/地域/时间粒度等）、涉及多张表数据、时序跨度长。
Install Bi Dashboard Generation
$ npx skills add agentscope-ai/QwenPaw-Data --skill bi-dashboard-generation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data bi-dashboard-generation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-dashboard-generation .claude/skills/bi-dashboard-generation && rm -rf skills-srcUse ~/.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/
Install the "bi-dashboard-generation" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-dashboard-generation into .claude/skills/bi-dashboard-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-dashboard-generation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-dashboard-generationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add agentscope-ai/QwenPaw-Data --skill bi-dashboard-generation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data bi-dashboard-generation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-dashboard-generation .agents/skills/bi-dashboard-generation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "bi-dashboard-generation" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-dashboard-generation into .agents/skills/bi-dashboard-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-dashboard-generation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentscope-ai/QwenPaw-Data --skill bi-dashboard-generation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data bi-dashboard-generation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-dashboard-generation .cursor/skills/bi-dashboard-generation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "bi-dashboard-generation" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-dashboard-generation into .cursor/skills/bi-dashboard-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-dashboard-generation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/agentscope-ai/QwenPaw-Data.git --path packages/qwenpaw-data-skills/skills/atomic/bi-dashboard-generation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add agentscope-ai/QwenPaw-Data --skill bi-dashboard-generation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data bi-dashboard-generation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-dashboard-generation .gemini/skills/bi-dashboard-generation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "bi-dashboard-generation" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-dashboard-generation into .gemini/skills/bi-dashboard-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-dashboard-generation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install agentscope-ai/QwenPaw-Data bi-dashboard-generationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add agentscope-ai/QwenPaw-Data --skill bi-dashboard-generation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-dashboard-generation .github/skills/bi-dashboard-generation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "bi-dashboard-generation" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-dashboard-generation into .github/skills/bi-dashboard-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-dashboard-generation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentscope-ai/QwenPaw-Data --skill bi-dashboard-generation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data bi-dashboard-generation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-dashboard-generation .opencode/skills/bi-dashboard-generation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "bi-dashboard-generation" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-dashboard-generation into .opencode/skills/bi-dashboard-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-dashboard-generation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
bi-dashboard-generation- GitHub stars
- 127
- Token cost
- ~489 tokens
- SKILL.md length
- 118 words
- Files
- 3 (incl. references)
- Skills in repo
- 29
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
将 BI 数据分析结果构建为可筛选的交互式 HTML 看板。触发条件：① 用户显式要求「给我看板」时无条件触发；② 取数结果满足以下任一时自动触发——结果集行数10行、存在可筛选维度（产品线/地域/时间粒度等）、涉及多张表数据、时序跨度长。
- Works in 5 steps: 受众与目标：谁看这个看板？需要监控、理解还是行动于什么？ → 核心问题：默认视图应回答什么问题？ → 指标范围：需要展示哪些指标？考虑覆盖面 → …
- Data & Analytics work in your project
- SKILL.md covers 核心原则, 前置检查 and 执行步骤
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Bi Dashboard Generation is an agent skill from agentscope-ai/QwenPaw-Data. 将 BI 数据分析结果构建为可筛选的交互式 HTML 看板。触发条件：① 用户显式要求「给我看板」时无条件触发；② 取数结果满足以下任一时自动触发——结果集行数10行、存在可筛选维度（产品线/地域/时间粒度等）、涉及多张表数据、时序跨度长。
Its SKILL.md is about 490 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/theme.md`).
It sits in Data & Analytics. The repository describes itself as: Agentic enterprise data analytics: governed facts (DataBridge), reusable methodology (Skill-Hub), and controllable execution (Host). The licence is Apache-2.0.
When your agent uses it
- Data & Analytics work in your project
Example prompts
- “/bi-dashboard-generation”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 受众与目标：谁看这个看板？需要监控、理解还是行动于什么？
- 核心问题：默认视图应回答什么问题？
- 指标范围：需要展示哪些指标？考虑覆盖面
- 筛选维度：读者可能按哪些维度探索？
- 看板标题
What it can do on your machine
Read from SKILL.md and the folder at commit e0bae36. 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 html).
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
Bi Dashboard Generation loads about 489 tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 36 tokens; SKILL.md has 118 words of instructions outside code blocks.
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 agentscope-ai/QwenPaw-Data at commit e0bae36, republished under its Apache-2.0 licence (© agentscope-ai). 118 words, ~489 tokens.
Download SKILL.mdSave it as
.claude/skills/bi-dashboard-generation/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- bi-dashboard-generation
- description
- 将 BI 数据分析结果构建为可筛选的交互式 HTML 看板。触发条件：① 用户显式要求「给我看板」时无条件触发；② 取数结果满足以下任一时自动触发——结果集行数>10行、存在可筛选维度（产品线/地域/时间粒度等）、涉及多张表数据、时序跨度长。
bi-dashboard-generation
根据分析产出的数据，构建交互式 HTML 看板。Agent 拥有完全的设计自由度——自主决定布局结构、可视化类型、筛选器位置——只需遵循 references/theme.md 中的主题规范确保视觉一致性。
交付物为单个可离线打开的 HTML 文件。
核心原则
- 摘要优先：默认视图在读者交互前就能回答核心问题
- 图表主导：用最简单的图表回答读者的问题，表格用于查阅而非主要叙事
- 灵活筛选：筛选器可以出现在任何合适的位置（顶部、侧边、卡片内、表格内），按需添加
前置检查
- 分析主题明确，核心问题已定义
- 数据文件（CSV）已生成且可访问
- 明确看板的受众和主要用途（状态监控 / 运营回顾 / 分析探索）
参考
resources/demo.html了解完整看板的产出样式。
执行步骤
1：定义看板简报
- 受众与目标：谁看这个看板？需要监控、理解还是行动于什么？
- 核心问题：默认视图应回答什么问题？
- 指标范围：需要展示哪些指标？考虑覆盖面：
- 规模（用户量、访问量）、价值（收入、转化率）、质量（成功率、时延）
- 变动（趋势、环比）、构成（占比、分布）、漏斗（步骤转化）
- 筛选维度：读者可能按哪些维度探索？
- 看板标题
2：数据准备
- 列出所有需要展示的数据文件及其完整路径
- 逐文件读取，确认字段、行数、维度
- 保留文件路径，后续步骤用于数据来源标注
3：设计信息层级与布局
基于实际数据内容，从摘要到细节分层，具体布局完全自由：
- 英雄指标：最核心的 KPI，直接回答"现在怎么样"
- 趋势/变动：核心指标的时间走势
- 诊断/拆解：按维度下钻，回答"为什么"
- 明细：详细数据，支持查阅
筛选器设计：
- 只在能实质更新视图时才添加
- 位置不限——可以在顶部全局、在卡片内局部、甚至嵌入表格
- 少量高价值筛选器优于密集面板
4：选择可视化类型
根据数据要回答的问题选择最合适的图表：
| 问题类型 | 推荐可视化 |
|---|---|
| 当前状态 | KPI 卡片 |
| 趋势变化 | 折线图 |
| 各部分占比 | 饼图/环形图 |
| 排名对比 | 条形图 |
| 转化流失 | 漏斗图 |
| 逐行细节 | 表格 |
| 两变量关系 | 散点图 |
原则：用最简单的图表回答问题；一份数据只用一种展示形式。
5：构建 HTML 看板
直接输出完整的 HTML 文件，遵循 references/theme.md 中的主题规范：
- 引入基础资源（Tailwind CSS、ECharts、Bootstrap Icons）
- 将 CSV 数据转为 JSON 变量嵌入 HTML，供 ECharts 渲染使用；每份数据在对应卡片底部标注来源链接：
html <p class="text-xs text-gray-400 mt-2">数据来源：<a href="path/to/filename.csv" class="hover:underline text-blue-400" target="_blank">filename.csv</a></p> - 使用主题规范中的组件模式构建页面
- 编写筛选器联动的 JS 逻辑
- 保存为单个 HTML 文件
6：自检
- 默认视图在交互前回答核心问题
- 图表类型与数据特征匹配
- 筛选器正常工作，筛选后无数据时有空状态提示
- 所有数字来自数据文件，不得编造
- 每个展示区域底部有数据来源链接，且为可点击的
<a href>指向实际文件路径 - HTML 可离线打开，无外部运行时依赖（CDN 资源除外）
© agentscope-ai, Apache-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
SKILL.md and 2 other files (references) in packages/qwenpaw-data-skills/skills/atomic/bi-dashboard-generation of agentscope-ai/QwenPaw-Data.
- SKILL.md
- references/theme.md
- resources/demo.html
Open the folder on GitHubat commit e0bae36
Compare with similar skills
Bi Dashboard Generation 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Bi Dashboard Generation this skillagentscope-ai/QwenPaw-Data | 127 | — | ~489 | Automated safety check: Pass | Apache-2.0 | |
| MatplotlibzLanqing/codex-claude-academic-skills | 4.7k | 17 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Exploratory Data Analysisspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.7k | 16 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| Chart Visualizationbytedance/deer-flow | 84k | 1 repos | ~840 | Automated safety check: Pass | MIT | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Exploratory Data Analysis
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
Scikit Learn
zLanqing/codex-claude-academic-skills
Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.
Chart Visualization
bytedance/deer-flow
Picks a suitable chart type from 26 options for your data, maps the data to that chart's parameters and generates a chart image through a JavaScript script.
TimesFM Forecasting
google-research/timesfm
Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.
- Official
Sandbox Bench
vercel/next.js
Benchmark React or Next.js changes on Vercel Sandbox VMs with paired A/B statistics: react PR/commit vs base, or Next.js PR/commit vs base, measured end-to-end through the bench/render-pipeline app…
More from agentscope-ai/QwenPaw-Data
All 29 skills in this repoBi Report Generation
agentscope-ai/QwenPaw-Data
将 BI 数据分析结果组织成可视化 HTML 报告。当分析完成、需要生成报告时调用. An agent skill from agentscope-ai/QwenPaw-Data.
Fetch Data
agentscope-ai/QwenPaw-Data
取数 / 查数据 / 拉数据 / 跑 SQL。把自然语言取数需求转为 SQL，经数据湖仓执行后返回查询结果供下游分析。任何需要业务数据的任务在工作区缺少对应文件时都必须先调用此技能——覆盖 BI 业务分析、留存 / 转化 / 同期群分析、数据探索 EDA、统计建模、定量计算、元数据查询、数据查询。命中任一即触发：(1) 直接索要指标或记录，如「DAU 多少」「上月销售额」「3…
Bi Adaptive Threshold
agentscope-ai/QwenPaw-Data
通过量化历史数据的自然波动幅度，自适应计算判定阈值。当需要从数据本身确定阈值（如波动阈值、影响度阈值等）、而非使用固定值时调用。仅适用于日/周粒度阈值确定。
Bi Anomaly Detection
agentscope-ai/QwenPaw-Data
基于阈值检测时间序列中的显著异常波动点。当需要找出指标异常波动日期、识别数据异动时调用. An agent skill from agentscope-ai/QwenPaw-Data.
Bi Attribution Analysis
agentscope-ai/QwenPaw-Data
计算各维度（组）值对指标变动的贡献度，支持可加型量值指标和加权平均型/率值指标。当需要计算贡献度、解释指标"为什么涨/跌"时调用。
Bi Causal Attribution
agentscope-ai/QwenPaw-Data
从运营周报、活动文档、对话输入或文档工具 API 中提取业务事件，与指标异常时间窗口对齐，生成有证据支撑的因果归因假设并排序。当已知指标存在异常波动、需要从外部文档证据中解释"为什么"时调用。
Related
Categories
Questions about Bi Dashboard Generation
What does Bi Dashboard Generation do?
将 BI 数据分析结果构建为可筛选的交互式 HTML 看板。触发条件：① 用户显式要求「给我看板」时无条件触发；② 取数结果满足以下任一时自动触发——结果集行数10行、存在可筛选维度（产品线/地域/时间粒度等）、涉及多张表数据、时序跨度长。. Bi Dashboard Generation is an agent skill from agentscope-ai/QwenPaw-Data.
When should I use Bi Dashboard Generation?
Bi Dashboard Generation fits situations like: data & Analytics work in your project.
How do I install Bi Dashboard Generation in Claude Code?
Run `npx skills add agentscope-ai/QwenPaw-Data --skill bi-dashboard-generation -a claude-code`. Or copy the skill folder (packages/qwenpaw-data-skills/skills/atomic/bi-dashboard-generation in agentscope-ai/QwenPaw-Data) into .claude/skills/bi-dashboard-generation in your project. Claude Code loads it when a task matches its description.
How do I install Bi Dashboard Generation in Codex?
Run `npx skills add agentscope-ai/QwenPaw-Data --skill bi-dashboard-generation -a codex`. Or copy the skill folder (packages/qwenpaw-data-skills/skills/atomic/bi-dashboard-generation in agentscope-ai/QwenPaw-Data) into .agents/skills/bi-dashboard-generation in your project. Codex loads it when a task matches its description.
Can I use Bi Dashboard Generation 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 agentscope-ai/QwenPaw-Data --skill bi-dashboard-generation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bi-dashboard-generation, .gemini/skills/bi-dashboard-generation, .github/skills/bi-dashboard-generation and .opencode/skills/bi-dashboard-generation in your project.
What does Bi Dashboard Generation need to run?
SKILL.md names no scripts, command-line tools or credentials: Bi Dashboard Generation is instructions for the agent only.
Does Bi Dashboard Generation 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 Bi Dashboard Generation 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 Bi Dashboard Generation use?
Bi Dashboard Generation is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Bi Dashboard Generation use?
About 489 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.7k tokens, read only when the agent opens those files.
What are the alternatives to Bi Dashboard Generation?
Skills that share tags, products or a category with Bi Dashboard Generation: Matplotlib (zLanqing/codex-claude-academic-skills, 4.7k stars), Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars) and Chart Visualization (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Bi Dashboard Generation?
agentscope-ai (a GitHub organization) maintains it in agentscope-ai/QwenPaw-Data, which has 127 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 5, 2026.
Source: agentscope-ai/QwenPaw-Data on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.