sas-score-score-mas-scr

sas-score-score-mas-scr is a skill for Claude Code, Codex from sassoftware/sas-score-mcp-serverjs. It costs 61 tokens per session (504 once invoked), scanned A, original, Apache-2.0.

A workflow for scoring MAS and SCR models. MAS means Micro Analytic Score, and SCR means Score Code Runtime; both are SAS model formats used to produce predictions from input data.

In plain words
What is it for?
Use it to score a MAS or SCR model with input values, or add its predictions to rows read from a table.
Why use it?
It identifies the model type, checks that the model exists when required, and handles scoring either one scenario or several table rows.

Skill for Claude CodeCodex

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

Good fit Use it to score a MAS or SCR model with input values, or add its predictions to rows read from a table.

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Install with agentmods
npx agentmods add skills/sassoftware/sas-score-mcp-serverjs/sas-score-score-mas-scr
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-mas-scr
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-mas-scr

README.md
[![agentmods](https://agentmods.dev/badge/skills/sassoftware/sas-score-mcp-serverjs/sas-score-score-mas-scr/github.svg)](https://agentmods.dev/skills/sassoftware/sas-score-mcp-serverjs/sas-score-score-mas-scr)
Your own site
<a href="https://agentmods.dev/skills/sassoftware/sas-score-mcp-serverjs/sas-score-score-mas-scr"><img src="https://agentmods.dev/badge/skills/sassoftware/sas-score-mcp-serverjs/sas-score-score-mas-scr/github.svg" alt="Measured on agentmods" height="20"></a>

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.

agentmods 80×15 button for sas-score-score-mas-scr

Your own site · 80×15
<a href="https://agentmods.dev/skills/sassoftware/sas-score-mcp-serverjs/sas-score-score-mas-scr"><img src="https://agentmods.dev/badge/skills/sassoftware/sas-score-mcp-serverjs/sas-score-score-mas-scr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 504 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 $0.00061 $0.00504
Opus 5.5 $0.00024 $0.00202
Sonnet 5.5 $0.00012 $0.00101
Haiku 4.5 $0.00006 $0.00050

Measured 9d ago against content hash 26b1f9739482, 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-mas-scr 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-mas-scr/SKILL.md · 61 lines

What it actually says

Score MAS / SCR

When to use this skill

  • Model type is .mas (default when no suffix given)
  • Model type is .scr

Tools

Type Verify Score
MAS sas-score-find-mas sas-score-mas-score
SCR sas-score-find-scr sas-score-scr-score

Inline Scenario Scoring

MAS:

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

SCR:

  1. Strip suffix '.scr' from the model name, if present
  2. Verify: sas-score-find-scr({ model })
  3. Score: sas-score-scr-score({ model, 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 mas use sas-score-find-mas to find the MAS model
    • if scr use sas-score-find-scr to find the SCR 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
MAS model not found Confirm model 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 · 61 lines · 61 tokens per session scan A 26b1f9739482

Subscribe to this mod's changes

sas-score-score-mas-scr 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 61 tokens to every session and 504 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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