Release path
1.0.1Published Mar 4, 2026PackagePublished package
@pasar6987/sf-education-assessment
Assessment creation and delivery with questions, responses, envelopes, and configurable scoring.
OSISchema 0.1.1Domain crmSource developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference
Published package · Latest published 1.0.1 Mar 4, 2026 · 5 datasets / 1 measures in the latest review · Updated Mar 11, 2026
Publisher
@pasar6987Published Mar 4, 2026Structure snapshot
5 datasets1 measures · 19 dimensionsSemantic Graph
Relationship counts appear after the graph loads.
Loading graph
Package graph is loadingPackage 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
Source
Owner
@pasar6987Organization
Independent
License
MIT
Visibility
Public hub listing
Publisher
@pasar6987Published Mar 4, 2026
Latest published version
1.0.1Published Mar 4, 2026
Tags
Schema preview
Schema 0.1.1
SDK handoff
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-education-assessment
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-education-assessment")
prompt = rawctx.to_prompt(
"@pasar6987/sf-education-assessment",
datasets=["Assessment", "AssessmentEnvelope"],
max_tokens=2000,
)
print(model.datasets) # ["Assessment", "AssessmentEnvelope", "AssessmentEnvelopeItem"]
print(model.measures) # [Measure(name="Assessment.Score", ...)]
print(model.dimensions) # [Dimension(name="AccountId", ...), Dimension(name="ContactId", ...), Dimension(name="ExpirationDateTime", ...)]
print(model.relationships) # [Relationship(name='...', ...)]
print(prompt)README
Package narrative and examples
Use documentation after the package clears provenance, ownership, and runnable-path checks.
@pasar6987/sf-education-assessment
Assessment creation and delivery with questions, responses, envelopes, and configurable scoring.
Overview
| Count | |
|---|---|
| Objects (Datasets) | 5 |
| Dimensions | 19 |
| Measures | 1 |
| Relationships | 0 |
Objects
- Assessment — Stores the header data for an assessment.
- AssessmentEnvelope — Represents information about an envelope that contains the assessments related to a user. For example, you can create an envelope that contains assessments for a patient or a caregiver related to depression or anxiety.
- AssessmentEnvelopeItem — Represents information about an item in an envelope that contains the assessments related to a user. For example, you can create an item that contains an assessment for depression or anxiety.
- AssessmentQuestion — Represents the container object that stores the questions required for an assessment.
- AssessmentQuestionResponse — Stores the responses submitted to an assessment.
Install
rawctx snapshot-download @pasar6987/sf-education-assessment
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.
models/sf-education-assessment.osi.yamlAI context included
5 datasets1 measures19 dimensions0 relationships