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json-render-tableJSON render table 图像

Agent Skill

json-render-table 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

22,391

周安装

952

GitHub Stars

公开资料未说明

下载量

7,844
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:json-render-table(JSON render table 图像)
来源仓库:https://github.com/sorphwer/json-render-table
安装命令:
openclaw skills install json-render-table
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install json-render-table

简介

将结构化数据表渲染为 PNG 图像,便于可视化展示。

  • 支持任意行列数据的通用表格图像生成,非票据专用。json-render-table 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 使用 json-render-cli 工具链,输出可用于报告或界面集成。
  • 需确认输出尺寸、字体和样式是否符合目标平台要求。
  • 适合需要将 JSON 数据转为图表或截图的场景。

SKILL.md

name
json-render-table
description
Render compact generic data tables to PNG images with json-render-cli. Use when users ask to visualize arbitrary structured rows/columns (non-ticket-specific) as clean table screenshots with controllable layout.
user-invocable
false

JSON Render Table

Overview

Render generic structured data into compact table images using json-render-cli components (Column, Row, Container, Text, Badge). Use this skill for non-ticket table use cases.

Workflow

  1. Ensure json-render is available. If missing, run npm i -g json-render-cli; if Chromium is missing, run npx playwright install chromium.
  2. Define target columns and row schema for the current dataset.
  3. Generate message JSON in memory from the table template.
  4. Pass config via process substitution (-c <(...)) to avoid temporary config files.
  5. Set screenshot.fullPage=true when row count or line wrapping is variable.
  6. Tune viewport width/height to the current content footprint before final render, and avoid oversized fixed --size.
  7. Render PNG and return output path (or Base64 only when explicitly requested).
  8. Theme mode is configured with theme.mode; use system by default, or force light / dark when needed.

Agent Coordination

  • Prefer rendering in the current (main) agent when the image must be delivered in the same turn.
  • Delegate rendering to a sub-agent only when output-path handoff is explicit and deterministic.
  • Keep rendered PNG files intact in sub-agent execution; do not delete or move them there.
  • Perform garbage collection only in the main agent, and only after delivery succeeds.

Model Routing

  • If the current assistant model is high-cost (for example, Opus-class), route simple deterministic rendering to a lower-cost fast model (for example, gemini3flash) only when Agent Coordination rules can be enforced; otherwise render in the current main agent.

Use Case Selection

  • Generic table: use references/compact-table-template.md.
  • Ticket-focused table: use json-render-ticket-table.
  • Information cards (KPI/compare/summary): use json-render-info-cards.
  • Announcement/hero cards: use json-render-announcement-cards.
  • Flow/timeline summaries: use json-render-flow-summary.

Build And Render

Use references/compact-table-template.md. Treat the included template as an executable starter and customize columns and widths per dataset.

Default style:

  • No title area
  • Compact header + body
  • Edge-to-edge screenshot
  • Stable column widths
  • Bottom rows remain visible (screenshot.fullPage=true)

Layout Rules

  • Define columns with Row + Container and explicit widths.
  • Keep spacing compact and deterministic.
  • Use Badge only for categorical status-like fields.
  • Resize the widest column first when content overflows.
  • Keep viewport width close to the sum of column widths and avoid large horizontal slack.
  • Start from a compact viewport height and expand only when clipping appears.

Output Rules

  • Prefer -o /tmp/<name>.png for image delivery.
  • Use -o stdout only when caller explicitly asks for Base64.
  • Avoid temporary JSON files unless explicitly requested.
  • If a sub-agent renders the PNG, return path only and skip cleanup in that sub-agent.
  • Run final PNG cleanup only in the main agent after image delivery.

Troubleshooting

  • If Chromium is missing, run: npx playwright install chromium.
  • If rendering is too wide, reduce wide columns or font size.
  • If left/right whitespace is too large, decrease viewport width or topic column width and rerender.
  • If top/bottom whitespace is too large, decrease viewport height and rerender.
  • If bottom rows are clipped, enable screenshot.fullPage=true.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

86.06%
按下载量换算6,751

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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