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Object Get Data

CommunityPopular
IvanMurzak
object-get-data

Get serialized data for a Unity `UnityEngine.Object` — all serializable fields and properties. Supports token-saving path-scoped reads via `paths` or `viewQuery`. Pair with 'object-modify' when you need to write back.

Overview

PublisherIvanMurzak
RepositoryUnity-MCP
Skill nameobject-get-data
Stars
4.4K
Forks
387
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by IvanMurzak on GitHub. Read the source before you install it.

Installation

Install the Object Get Data AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/IvanMurzak/Unity-MCP/tree/main/Unity-MCP-Plugin/.claude/skills/object-get-data
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/IvanMurzak/Unity-MCP.git /tmp/Unity-MCP
mkdir -p .claude/skills
cp -r /tmp/Unity-MCP/Unity-MCP-Plugin/.claude/skills/object-get-data .claude/skills/object-get-data
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Object Get Data in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Object Get Data on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Object Get Data is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Object / Get Data

Get data of the specified Unity Object. Returns serialized data of the object including its properties and fields. If need to modify the data use 'object-modify' tool.

Path-scoped reads (token-saving)

Supply paths (a list of paths) to read only the listed fields/elements via Reflector.TryReadAt, or viewQuery (a ViewQuery) to navigate to a subtree and/or filter by name regex / max depth / type via Reflector.View. These two parameters are mutually exclusive — supply at most one. When neither is supplied the full object is serialized (backwards compatible).

Path syntax

fieldName, nested/field, arrayField/[i], dictField/[key]. Leading #/ is stripped.

How to Call

bash
unity-mcp-cli run-tool object-get-data --input '{
  "objectRef": "string_value",
  "paths": "string_value",
  "viewQuery": "string_value"
}'

For complex input (multi-line strings, code), save the JSON to a file and use:

bash
unity-mcp-cli run-tool object-get-data --input-file args.json

Or pipe via stdin (recommended):

bash
unity-mcp-cli run-tool object-get-data --input-file - <<'EOF'
{"param": "value"}
EOF

Troubleshooting

If unity-mcp-cli is not found, either install it globally (npm install -g unity-mcp-cli) or use npx unity-mcp-cli instead. Read the /unity-initial-setup skill for detailed installation instructions.

Input

NameTypeRequiredDescription
objectRefanyYesReference to UnityEngine.Object instance. It could be GameObject, Component, Asset, etc. Anything extended from UnityEngine.Object.
pathsanyNoOptional. List of paths to read individually via Reflector.TryReadAt. Each path may target a different depth. Path syntax: 'fieldName', 'nested/field', 'arrayField/[i]', 'dictField/[key]'. Mutually exclusive with 'viewQuery'.
viewQueryanyNoOptional. View-query filter routed through Reflector.View — combines a starting Path, a case-insensitive NamePattern regex, MaxDepth, and an optional TypeFilter. Mutually exclusive with 'paths'.

Input JSON Schema

json
{
  "type": "object",
  "properties": {
    "objectRef": {
      "$ref": "#/$defs/AIGD.ObjectRef"
    },
    "paths": {
      "$ref": "#/$defs/System.Collections.Generic.List(System.String)"
    },
    "viewQuery": {
      "$ref": "#/$defs/com.IvanMurzak.ReflectorNet.Model.ViewQuery"
    }
  },
  "$defs": {
    "AIGD.ObjectRef": {
      "type": "object",
      "properties": {
        "instanceID": {
          "type": "integer",
          "description": "instanceID of the UnityEngine.Object. If this is '0', then it will be used as 'null'."
        }
      },
      "required": [
        "instanceID"
      ],
      "description": "Reference to UnityEngine.Object instance. It could be GameObject, Component, Asset, etc. Anything extended from UnityEngine.Object."
    },
    "System.Collections.Generic.List(System.String)": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "System.Type": {
      "type": "string"
    },
    "com.IvanMurzak.ReflectorNet.Model.ViewQuery": {
      "type": "object",
      "properties": {
        "Path": {
          "type": "string",
          "description": "Navigate to this path first, then serialize only that subtree. Path segments are separated by '/'. Use '[i]' for array/list index (e.g. 'users/[2]/name') and '[key]' for dictionary entry (e.g. 'config/[timeout]'). A leading '#/' is stripped automatically. Examples: 'admin/name', 'users/[0]/email', 'config/[timeout]'. Leave null to start from the root object."
        },
        "NamePattern": {
          "type": "string",
          "description": "Case-insensitive .NET regex pattern matched against field and property names. Only branches containing at least one match are kept in the result tree. Examples: 'orbitRadius' (exact name), 'orbit.*' (prefix match), 'radius|speed' (either name). When nothing matches, the root envelope is returned with empty fields/props. Leave null to return all fields and properties without filtering."
        },
        "MaxDepth": {
          "type": "integer",
          "description": "Maximum nesting depth of the returned serialized tree. 0 = root type name and value only — no nested fields or properties. 1 = one level of fields/props visible, their children stripped. 2 = two levels visible, and so on. Leave null (default) for unlimited depth."
        },
        "TypeFilter": {
          "$ref": "#/$defs/System.Type",
          "description": "When set, prunes the result tree to members whose runtime type is assignable to this type. Non-matching branches are removed; the root envelope is always preserved. Examples: typeof(float) keeps only float fields, typeof(IEnumerable) keeps only collections. Leave null to include members of any type."
        }
      }
    }
  },
  "required": [
    "objectRef"
  ]
}

Output

Output JSON Schema

json
{
  "type": "object",
  "properties": {
    "result": {
      "$ref": "#/$defs/com.IvanMurzak.ReflectorNet.Model.SerializedMember"
    }
  },
  "$defs": {
    "com.IvanMurzak.ReflectorNet.Model.SerializedMemberList": {
      "type": "array",
      "items": {
        "$ref": "#/$defs/com.IvanMurzak.ReflectorNet.Model.SerializedMember"
      }
    },
    "com.IvanMurzak.ReflectorNet.Model.SerializedMember": {
      "type": "object",
      "properties": {
        "typeName": {
          "type": "string",
          "description": "Full type name. Eg: 'System.String', 'System.Int32', 'UnityEngine.Vector3', etc."
        },
        "name": {
          "type": "string",
          "description": "Object name."
        },
        "value": {
          "description": "Value of the object, serialized as a non stringified JSON element. Can be null if the value is not set. Can be default value if the value is an empty object or array json."
        },
        "fields": {
          "type": "array",
          "items": {
            "$ref": "#/$defs/com.IvanMurzak.ReflectorNet.Model.SerializedMember",
            "description": "Nested field value."
          },
          "description": "Fields of the object, serialized as a list of 'SerializedMember'."
        },
        "props": {
          "type": "array",
          "items": {
            "$ref": "#/$defs/com.IvanMurzak.ReflectorNet.Model.SerializedMember",
            "description": "Nested property value."
          },
          "description": "Properties of the object, serialized as a list of 'SerializedMember'."
        }
      },
      "required": [
        "typeName"
      ],
      "additionalProperties": false
    }
  },
  "required": [
    "result"
  ]
}

Frequently asked questions

What does the Object Get Data AI skill do?

Get serialized data for a Unity `UnityEngine.Object` — all serializable fields and properties. Supports token-saving path-scoped reads via `paths` or `viewQuery`. Pair with 'object-modify' when you need to write back.

Why use Object Get Data on TypingMind?

Because you install it once and use it with any model. Object Get Data is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Object Get Data in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/IvanMurzak/Unity-MCP/tree/main/Unity-MCP-Plugin/.claude/skills/object-get-data. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Object Get Data?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Object Get Data?

As many as you like. As long as a model supports skills, you can use Object Get Data with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Object Get Data AI skill free?

Yes. It is published on GitHub by IvanMurzak under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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