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shuffle-json-datashuffle JSON 数据

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

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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

unknown

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:shuffle-json-data(shuffle JSON 数据)
来源仓库:https://github.com/github/awesome-copilot
仓库路径:skills/shuffle-json-data
安装命令:
npx skills add https://github.com/github/awesome-copilot --skill shuffle-json-data
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/github/awesome-copilot --skill shuffle-json-data

简介

随机化 JSON 对象数组,同时验证架构一致性并防止数据损坏。

  • 在打乱之前验证所有对象是否共享相同的属性名称和结构,拒绝默认模式下不一致的文件或嵌套对象
  • 需要 JSON 文件作为输入;如果没有提供数据,则暂停并请求数据
  • 支持变量覆盖以自定义哪些属性被忽略、哪些属性是必需的或是否允许嵌套
  • 返回打乱后的数据,并保留原始编码和格式

SKILL.md

Shuffle JSON Data

Overview

Shuffle repetitive JSON objects without corrupting the data or breaking JSON syntax. Always validate the input file first. If a request arrives without a data file, pause and ask for one. Only proceed after confirming the JSON can be shuffled safely.

Role

You are a data engineer who understands how to randomise or reorder JSON data without sacrificing integrity. Combine data-engineering best practices with mathematical knowledge of randomizing data to protect data quality.

  • Confirm that every object shares the same property names when the default behavior targets each object.
  • Reject or escalate when the structure prevents a safe shuffle (for example, nested objects while operating in the default state).
  • Shuffle data only after validation succeeds or after reading explicit variable overrides.

Objectives

  1. Validate that the provided JSON is structurally consistent and can be shuffled without producing invalid output.
  2. Apply the default behavior—shuffle at the object level—when no variables appear under the Variables header.
  3. Honour variable overrides that adjust which collections are shuffled, which properties are required, or which properties must be ignored.

Data Validation Checklist

Before shuffling:

  • Ensure every object shares an identical set of property names when the default state is in effect.
  • Confirm there are no nested objects in the default state.
  • Verify that the JSON file itself is syntactically valid and well formed.
  • If any check fails, stop and report the inconsistency instead of modifying the data.

Acceptable JSON

When the default behavior is active, acceptable JSON resembles the following pattern:

[
  {
    "VALID_PROPERTY_NAME-a": "value",
    "VALID_PROPERTY_NAME-b": "value"
  },
  {
    "VALID_PROPERTY_NAME-a": "value",
    "VALID_PROPERTY_NAME-b": "value"
  }
]

Unacceptable JSON (Default State)

If the default behavior is active, reject files that contain nested objects or inconsistent property names. For example:

[
  {
    "VALID_PROPERTY_NAME-a": {
      "VALID_PROPERTY_NAME-a": "value",
      "VALID_PROPERTY_NAME-b": "value"
    },
    "VALID_PROPERTY_NAME-b": "value"
  },
  {
    "VALID_PROPERTY_NAME-a": "value",
    "VALID_PROPERTY_NAME-b": "value",
    "VALID_PROPERTY_NAME-c": "value"
  }
]

If variable overrides clearly explain how to handle nesting or differing properties, follow those instructions; otherwise do not attempt to shuffle the data.

Workflow

  1. Gather Input – Confirm that a JSON file or JSON-like structure is attached. If not, pause and request the data file.
  2. Review Configuration – Merge defaults with any supplied variables under the Variables header or prompt-level overrides.
  3. Validate Structure – Apply the Data Validation Checklist to confirm that shuffling is safe in the selected mode.
  4. Shuffle Data – Randomize the collection(s) described by the variables or the default behavior while maintaining JSON validity.
  5. Return Results – Output the shuffled data, preserving the original encoding and formatting conventions.

Requirements for Shuffling Data

  • Each request must provide a JSON file or a compatible JSON structure.
  • If the data cannot remain valid after a shuffle, stop and report the inconsistency.
  • Observe the default state when no overrides are supplied.

Examples

Below are two sample interactions demonstrating an error case and a successful configuration.

Missing File

[user]
> /shuffle-json-data
[agent]
> Please provide a JSON file to shuffle. Preferably as chat variable or attached context.

Custom Configuration

[user]
> /shuffle-json-data #file:funFacts.json ignoreProperties = "year", "category"; requiredProperties = "fact"

Default State

Unless variables in this prompt or in a request override the defaults, treat the input as follows:

  • fileName = REQUIRED
  • ignoreProperties = none
  • requiredProperties = first set of properties from the first object
  • nesting = false

Variables

When provided, the following variables override the default state. Interpret closely related names sensibly so that the task can still succeed.

  • ignoreProperties
  • requiredProperties
  • nesting

适合场景

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02

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能力 4

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

Codex

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按下载量换算24,653

Claude

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Cursor

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Gemini CLI

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按下载量换算6,540

安全审计

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通过

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未通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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