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Shuffle JSON Data

作者 John Haugabook · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install shuffle-json-data
功能描述
Shuffle repetitive JSON objects safely by validating schema consistency before randomising entries.
使用说明 (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
安全使用建议
This skill appears safe to install. As with any data-transformation skill, review the shuffled output before replacing an original file, especially if record order has meaning.
功能分析
Type: OpenClaw Skill Name: shuffle-json-data Version: 1.0.0 The skill bundle contains only markdown instructions (SKILL.md) and metadata (_meta.json) for an AI agent to perform JSON data shuffling. The instructions focus on data validation, schema consistency, and safe randomization without any evidence of malicious intent, data exfiltration, or unauthorized execution.
能力评估
Purpose & Capability
The stated purpose and instructions are coherent: validate a provided JSON file or structure, reject unsafe structures, then return shuffled JSON.
Instruction Scope
The workflow is bounded to user-provided JSON input, asks for data if missing, validates before processing, and stops when checks fail.
Install Mechanism
There is no install specification, no code files, no required binaries, and no environment variables.
Credentials
The artifacts show no network access, credentials, broad local file access, shell commands, or other environment authority beyond handling provided JSON content.
Persistence & Privilege
No persistence, background behavior, account access, or elevated privileges are requested or described.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install shuffle-json-data
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /shuffle-json-data 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
- Initial release of shuffle-json-data skill. - Shuffle repetitive JSON objects safely by validating schema consistency before randomizing entries. - Includes strict pre-shuffle validation: checks for property consistency, absence of nested objects, and valid JSON syntax. - Default behavior operates on top-level arrays of flat objects; allows variable overrides for advanced use cases. - Clear workflow: confirm input, validate structure, shuffle only when safe, and return shuffled data.
元数据
Slug shuffle-json-data
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Shuffle JSON Data 是什么?

Shuffle repetitive JSON objects safely by validating schema consistency before randomising entries. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 50 次。

如何安装 Shuffle JSON Data?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install shuffle-json-data」即可一键安装,无需额外配置。

Shuffle JSON Data 是免费的吗?

是的,Shuffle JSON Data 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Shuffle JSON Data 支持哪些平台?

Shuffle JSON Data 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Shuffle JSON Data?

由 John Haugabook(@jhauga)开发并维护,当前版本 v1.0.0。

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