sas-score-score-job-jobdef

sas-score-score-job-jobdef is a skill for Claude Code, Codex from sassoftware/sas-score-mcp-serverjs. It costs 48 tokens per session (488 once invoked), scanned A, original, Apache-2.0.

A workflow for scoring SAS Job and JobDef models. SAS is software for data analysis, and these model types can be run with individual input values or against rows read from a table.

In plain words
What is it for?
Use it to score a Job or JobDef with a scenario, or append predictions to selected rows from a data table.
Why use it?
It handles model lookup, table reading, row limits, and repeated scoring so those steps do not have to be coordinated manually.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to score a Job or JobDef with a scenario, or append predictions to selected rows from a data table.

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Install with agentmods
npx agentmods add skills/sassoftware/sas-score-mcp-serverjs/sas-score-score-job-jobdef
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add sassoftware/sas-score-mcp-serverjs --skill sas-score-score-job-jobdef
Clone the repo
git clone --depth 1 https://github.com/sassoftware/sas-score-mcp-serverjs

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for sas-score-score-job-jobdef

README.md
[![agentmods](https://agentmods.dev/badge/skills/sassoftware/sas-score-mcp-serverjs/sas-score-score-job-jobdef/github.svg)](https://agentmods.dev/skills/sassoftware/sas-score-mcp-serverjs/sas-score-score-job-jobdef)
Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/sassoftware/sas-score-mcp-serverjs/sas-score-score-job-jobdef"><img src="https://agentmods.dev/badge/skills/sassoftware/sas-score-mcp-serverjs/sas-score-score-job-jobdef.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 488 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.00488
Opus 5.5 $0.00019 $0.00195
Sonnet 5.5 $0.00010 $0.00098
Haiku 4.5 $0.00005 $0.00049

Measured 9d ago against content hash 5d4637f84041, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

sas-score-score-job-jobdef scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.githubx/sas-score-score-job-jobdef/SKILL.md · 64 lines

What it actually says

Score Job / JobDef

When to use this skill

  • Model type is .job
  • Model type is .jobdef

Tools

Type Verify Score
Job sas-score-find-job sas-score-job-score
JobDef sas-score-find-jobdef sas-score-jobdef-score

Inline Scenario Scoring

Job:

  1. Strip suffix '.job' from the model name, if present
  2. Verify: sas-score-find-job({ name })
  3. Score: sas-score-job-score({ name, scenario })

JobDef:

  1. Strip suffix '.jobdef' from the model name, if present
  2. Verify: sas-score-find-jobdef({ name })
  3. Score: sas-score-jobdef-score({ name, 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. Find model →
    • if job use sas-score-find-job to find the Job model
    • if jobdef use sas-score-find-jobdef to find the JobDef model
  2. Read table → use sas-score-read-strategy skill
  3. Score each row — tools accept a single row; loop over rows calling the tool for each
  4. Return rows with predictions appended
  5. Cap batch at 10 rows by default; ask user before proceeding with larger batches

Error Handling

Error Action
Job / JobDef not found Confirm name with user
Table not found Confirm table name and library
Empty table Ask user to adjust filter or confirm criteria
Scoring failure Return tool error verbatim
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 64 lines · 48 tokens per session scan A 5d4637f84041

Subscribe to this mod's changes

sas-score-score-job-jobdef is a skill published in the GitHub repository sassoftware/sas-score-mcp-serverjs (1 stars, last pushed 9d ago), licensed Apache-2.0. It adds 48 tokens to every session and 488 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-10.

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