DeepSeek Harness Plugin Hub

发布与管理完整 Harness Profiles,发现适合你的插件。

探索

插件目录环境预设文档中心动态

社区

发布插件联系我们报告问题

相关链接

Plugin Hub GitHubDeepSeek Harness 官方项目系统状态隐私说明
© 2026 DeepSeek Harness Plugin HubPowered byPaxTech

独立、非官方社区项目,与 DeepSeek 官方无隶属、授权或背书关系。

Antv Ava — DeepSeek Harness 插件(DSH Plugin)
← Plugins
A

dsh-antv-ava

Antv Ava

适用于 DeepSeek Harness 的 AntV AVA 和 GPT-Vis 插件:将数据密集型回答以叙述性文本、图表或两者结合的形式流式输出。

插件会安装到这里;不确定时保持 web。

npx -y @deepseek-ai/dsh plugin --profile web add github:HellowVirgil/dsh-antv-ava#00597ab0d596cf0843c03d18ef92fe2f28f346f4
README兼容性版本

兼容性与来源证明

Antv Ava 以 dsh-antv-ava 发布,当前版本为 0.2.0。Plugin Hub 会校验它的 manifest,并保存精确安装来源,便于复现安装结果。

DSH 兼容范围
*
运行环境
web
发布来源
github
Registry 更新时间
2026/8/26

版本

0.2.0stable
2026/8/26
0.1.0stable
2026/8/25

相关插件

正在加载相关插件…

最新版
0.2.0
DSH
*
HMR
重启进程
Tree shaking
未声明可安全裁剪
解包体积
未提供
文件数
未提供
Surface
web
许可证
MIT
发布源
github
GitHub
★ 0
周下载
0
最近提交
2026/8/26
查看源码 ↗
README Badge

点击下方 Badge 复制 Markdown,粘贴到 README 即可。

这是你的 Plugin?认领权益 · 优先安全扫描

验证 package.json 声明的 GitHub 仓库,即可管理这个公开页面。认领后,Hub 会优先安排当前版本的安全扫描,并在通过后公开展示结果。

认领这个 Plugin →
报告问题
DeepSeek Harness Plugin Hub
ProfilesPlugins分类动态文档登录管理 Profiles
ProfilesPlugins分类动态文档登录

相关插件

继续浏览 vision-media 分类下经过校验的插件。

Tool Describe Image@linxin666/dsh-tool-describe-image面向模型的 describe_image 工具,用于 dsh Web GUI:通过在兼容 OpenAI 的端点调用视觉语言模型,为文本模型提供图像理解能力,以描述一张图像(本地路径、http(s) URL 或附件引用)。可热插拔 —Modlens@liustack/modlens面向仅支持文本的 LLM 的插件视觉能力,由免费的 Antigravity CLI 提供支持Vision Toolkit@anionex/dsh-vision-toolkit面向 Harness 原生集成的 DeepSeek 与 agent-vision-toolkit:图像问答、OCR、定位、UI 还原、像素差异、Artifacts 和 Web UI。Deepseek Ivideodeepseek-ivideoiPolloWork HyperFrames Video Studio,以及 27 个可编辑视频模板,以原生 DeepSeek Harness 对话视图呈现。

README

🌐 简体中文 | English

dsh-antv-ava

Let DeepSeek Harness automatically present data-heavy answers as streaming narrative text, AntV charts, or a natural combination of both.

Preview

dsh-antv-ava rendering data interpretation and an AntV chart inside a DSH conversation

Narrative text and charts flow directly with the model reply instead of appearing in separate cards. Text renders phrase by phrase, while GPT-Vis charts appear as soon as usable data arrives and keep updating during generation.

Core features

  • Automatic presentation selection: the model chooses NTV, a chart, or both based on the question and data.
  • Streaming data interpretation: metrics, changes, shares, category details, and conclusions render phrase by phrase.
  • Streaming AntV charts: the model emits official GPT-Vis syntax, and complete data lines update the mounted chart before the answer finishes.
  • AVA insights: AVA inspects stable tabular results after generation and can surface significant trends, outliers, changes, shares, and correlations.
  • Conversation-native design: inherits DSH typography, font size, line height, color, width, and Markdown spacing.
  • Live theme adaptation: chart axes, labels, and grid lines update when switching between light and dark themes without a page refresh.
  • Semantic data expression: highlighted metrics, direction arrows, absolute changes, rates, contributions, and proportion micro charts.
  • Lazy loading: the AVA/GPT-Vis chart engine loads only when an answer contains a chart.
  • Safe parsing: source-size limits and blocking for executable markup, dangerous URLs, and private-network resources.

Installation

dsh plugin --profile web add dsh-antv-ava

Restart dsh web and reload the page after installation. The plugin injects the required output contract automatically, so regular users do not need to install a separate Skill or write DSL by hand.

Usage

Ask naturally after installation.

Interpret data

Interpret the following business data and provide concise, easy-to-scan conclusions:
Total orders reached 198M this month, up 7.05% year over year…

The model will usually return streaming NTV with emphasized metrics, changes, shares, and category conclusions.

Interpret and visualize

Analyze the revenue change from Q1 to Q4 and choose an appropriate visualization:
Q1 1.28M, Q2 1.64M, Q3 1.91M, Q4 2.26M.

When visual shape makes a trend or comparison easier to understand, the model combines narrative text with a chart.

Generate only a chart

Plot the following data as a trend chart. Return only the chart: …

When explicitly requested, the model can return a chart without repeating the same information as narrative text.

Automatic output selection

ContentTypical result
KPIs, period-over-period changes, shares, category breakdowns, and conclusionsNTV
Trends, comparisons, distributions, rankings, or compositions benefit from shapeNTV + Chart
The user explicitly requests only a chart, or narrative adds no valueChart

This selection is automatic; users do not need to understand the internal format.

Supported data expression

NTV supports:

  • Primary and secondary metrics and dimension values
  • Time descriptions and trend conclusions
  • Absolute changes and change rates
  • Shares, contributions, and inline proportion micro charts
  • Headlines, heading levels 1–6, paragraphs, bullets, sections, and dividers

Charts use GPT-Vis syntax and support:

  • Line, area, column, bar, pie, scatter, radar, funnel, waterfall, and dual-axis charts
  • Histograms, boxplots, violin plots, treemaps, Sankey diagrams, Venn diagrams, liquid charts, word clouds, and tables
  • Additional GPT-Vis relationship diagrams accepted by the renderer when they are useful for data interpretation

Optional Skill installation

The plugin works on its own. Install the bundled Skill only when the agent environment discovers ~/.agents/skills and complex data tasks need stricter guidance for fact preservation and presentation selection.

mkdir -p ~/.agents/skills/antv-ava
cp SKILL.md ~/.agents/skills/antv-ava/SKILL.md

Advanced: unified AVA format

The model can emit narrative, chart, or both inside one ava fence:

```ava
ava
language en-US
narrative
  headline Quarterly revenue continued to grow
  paragraph
    text Q4 revenue reached
    metric-value 2.26M
    text , up from Q1 by
    ratio positive 76.6%
chart
  vis line
  data
    - time Q1
      value 1.28
    - time Q4
      value 2.26
  title "Quarterly revenue trend"
  axisXTitle Quarter
  axisYTitle "Revenue (M)"
```

Scope

Use the plugin for evidence-backed KPIs, business analysis, trends, shares, rankings, and category breakdowns. It does not invent values for visualization and never executes arbitrary HTML, SVG, or scripts emitted by the model.

Processes, hierarchies, and roadmaps without meaningful numeric structure are better suited to an infographic plugin.

Install from source

git clone https://github.com/HellowVirgil/dsh-antv-ava.git
cd dsh-antv-ava
pnpm install
pnpm run check
dsh plugin --profile web add "link:$PWD"

Development

pnpm test
pnpm build
pnpm run verify:pack

License

MIT. AntV AVA and AntV GPT-Vis are also licensed under MIT.