---
name: ivanmurzak/profiler-load-data
source: https://app.decimal.ai/s/ivanmurzak-profiler-load-data@1/SKILL.md
source_sha256: 042c01cde764
---

# Profiler / Load Data

Reads `filePath` as UTF-8 text and returns the file body unchanged. Caller is responsible for parsing.

## Inputs

- `filePath` (required) — path written by `profiler-save-data`.

## Errors

- Returns `[Error]` when `filePath` is empty, the file does not exist, exceeds the 10 MB size cap, or the read fails.

## Behavior

Uses `System.IO.File.ReadAllText` (BCL) — no external Unity package is required. Files larger than 10 MB are rejected up-front to avoid OOM on a stray call.

## How to Call

```bash
unity-mcp-cli run-tool profiler-load-data --input '{
  "filePath": "string_value"
}'
```

> For complex input (multi-line strings, code), save the JSON to a file and use:
> ```bash
> unity-mcp-cli run-tool profiler-load-data --input-file args.json
> ```
>
> Or pipe via stdin (recommended):
> ```bash
> unity-mcp-cli run-tool profiler-load-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

| Name | Type | Required | Description |
|------|------|----------|-------------|
| `filePath` | `string` | Yes | Path to a profiler snapshot file previously written by 'profiler-save-data'. |

### Input JSON Schema

```json
{
  "type": "object",
  "properties": {
    "filePath": {
      "type": "string"
    }
  },
  "required": [
    "filePath"
  ]
}
```

## Output

### Output JSON Schema

```json
{
  "type": "object",
  "properties": {
    "result": {
      "type": "string"
    }
  },
  "required": [
    "result"
  ]
}
```