score-cas

name	score-cas
description	Scoring workflow for CAS (Cloud Analytic Services) programs and CAS model tables. Use when the model suffix is .casl, or when the user references a CAS model table (casmodel), or when running inline CASL/CAS program src code. Handles both inline scenario scoring and table row scoring.

Score CAS Program / CAS Model

When to use this skill

• Model type is .casl (CAS Program — inline src code)
• User references a CAS model table (casmodel in lib.table form, with optional name)
• User says "run cas program", "execute casl", "score cas model"

Model Forms

The tool sas-score-cas-program-score accepts two mutually exclusive model forms:

Form	Params	When to use
Inline src code	src (required), no casmodel	User provides CASL code directly
CAS model table	casmodel (required), name (optional)	User references a persisted CAS model table

If both src and casmodel are provided, casmodel takes precedence.

Tool

Type	Verify	Score
CAS Program (inline)	(no pre-check)	sas-score-cas-program-score
CAS Model (table)	(no pre-check)	sas-score-cas-program-score

Inline Src Code Scoring

Score CASL source code directly (no casmodel):

sas-score-cas-program-score({ src, scenario, output, limit })

• src — CASL/CAS program code to execute verbatim
• scenario — input parameters as string ("x=1, y=2") or object ({ x: 1, y: 2 })
• output — optional CAS table name to return in response
• limit — max rows to return (default 100)

CAS Model Table Scoring

Score using a persisted CAS model table:

sas-score-cas-program-score({ casmodel, name, scenario, output, limit })

• casmodel — CAS model table in lib.table form (e.g., mylib.mymodel)
• name — optional model name if different from the table name
• scenario — input parameters
• output / limit — same as above

Routing Examples

User says	Params
"run cas program action echo"	{ src: "action echo" }
"execute casl action simple.summary with table=a.b"	{ src: "action simple.summary", scenario: { table: "a.b" } }
"score cas model mylib.abc with x=1, y=2"	{ casmodel: "mylib.abc", scenario: "x=1, y=2" }
"score cas model mylib.abc using model name mymodel"	{ casmodel: "mylib.abc", name: "mymodel", scenario: ... }

Table Row Scoring

Parsing row count:

User says	start	limit
"score the first N rows from lib.table"	1	N
"score N rows from lib.table"	1	N
(count not specified)	1	10

Flow:

1. Read table → use read-strategy skill
2. Score each row — tool accepts a single row; loop over rows calling the tool for each
3. Return rows with predictions appended
4. Cap batch at 10 rows by default; ask user before proceeding with larger batches

Error Handling

Error	Action
CAS session cannot be created	Report CAS connectivity issue to user
src not provided and casmodel not provided	Ask user for src code or casmodel table
CAS model table not found	Confirm casmodel value with user
Table not found (row scoring)	Confirm table name and library
Empty table	Ask user to adjust filter or confirm criteria
Scoring failure	Return tool error verbatim