PackagePublished package

@pasar6987/sf-core-mobile-device

Name: Semantic model package @pasar6987/sf-core-mobile-device
Creator: pasar6987

Mobile app registrations, installed app tracking, and client browser detection for managing the mobile device landscape of connected users.

OSISchema 0.1.1Domain crm Source developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Published package · Latest published 1.0.1 Mar 4, 2026 · 3 datasets / 0 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.1Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

3 datasets0 measures · 45 dimensions

Semantic Graph

Relationship counts appear after the graph loads.

Loading graph

Package graph is loading

Package relationships will appear when the summary is ready.

Reference context

Secondary package facts stay compact

Updated: Mar 11, 2026
Visibility: Public hub listing
License: MIT
Created: Mar 4, 2026

Reference facts

Secondary package facts after the usage path is clear

Licensing, categorization, ownership, and linked metadata stay below the runnable path so the page reads in the right order.

Format

OSI

Upstream

developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Repository

Not linked

Domain

crm

Source

developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Owner

@pasar6987

Organization

Independent

License

MIT

Visibility

Public hub listing

Publisher

@pasar6987Published Mar 4, 2026

Latest published version

1.0.1Published Mar 4, 2026

Use this package in code and AI

After structure review, move straight into typed reads with load() or compact LLM context with to_prompt().

Python SDK

Python example for @pasar6987/sf-core-mobile-device

This example uses the current package ref and, when preview data is available, fills in real dataset names from the published summary.

import rawctx

model = rawctx.load("@pasar6987/sf-core-mobile-device")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-core-mobile-device",
    datasets=["ClientBrowser", "InstalledMobileApp"],
    max_tokens=2000,
)

print(model.datasets)        # ["ClientBrowser", "InstalledMobileApp", "MobileDeviceAppRegistration"]
print(model.measures)        # [Measure(name="measure_a", ...)]
print(model.dimensions)      # [Dimension(name="FullUserAgent", ...), Dimension(name="LastUpdate", ...), Dimension(name="ProxyInfo", ...)]
print(model.relationships)   # [Relationship(name='...', ...)]
print(prompt)

See Python docs

README

Package narrative and examples

Use documentation after the package clears provenance, ownership, and runnable-path checks.

@pasar6987/sf-core-mobile-device

Mobile app registrations, installed app tracking, and client browser detection for managing the mobile device landscape of connected users.

Overview

	Count
Objects (Datasets)	3
Dimensions	45
Measures	0
Relationships	0

Objects

ClientBrowser — Represents a cookie added to the browser upon login, and also includes information about the browser application where the cookie was inserted.
InstalledMobileApp — Installed Mobile Apps - InstalledMobileApp
MobileDeviceAppRegistration — Represents the details provided in a mobile device registration event from an app that uses the Engagement Mobile SDK.

Install

rawctx snapshot-download @pasar6987/sf-core-mobile-device

Structure review

Inspect package structure after the usage path is clear

Use the structural review when you need the package footprint, field counts, and model paths before a deeper explorer pass.

Models1

datasets3

measures0

dimensions45

relationships0

AI context1

models/sf-core-mobile-device.osi.yamlAI context included

3 datasets0 measures45 dimensions0 relationships