What is score-mas-scr?

A scoring workflow for MAS and SCR models, which are model types identified by those file suffixes.

Use it to score inline scenarios or rows from a table, with MAS as the default when no model suffix is given.

It handles finding the correct model, reading table rows, and scoring them without requiring the agent to manually choose separate steps for each model type.

How sassoftware/sas-score-mcp-serverjs configures Claude Code and Code

Reuse

Borrowing it

Nothing to install: this file belongs to sassoftware/sas-score-mcp-serverjs. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/sassoftware/sas-score-mcp-serverjs/main/.skills/skills/score-mas-scr/SKILL.md

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/sassoftware/sas-score-mcp-serverjs/score-mas-scr/github.svg)](https://agentmods.dev/skills/sassoftware/sas-score-mcp-serverjs/score-mas-scr)

Your own site

<a href="https://agentmods.dev/skills/sassoftware/sas-score-mcp-serverjs/score-mas-scr"><img src="https://agentmods.dev/badge/skills/sassoftware/sas-score-mcp-serverjs/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/sassoftware/sas-score-mcp-serverjs/score-mas-scr"><img src="https://agentmods.dev/badge/skills/sassoftware/sas-score-mcp-serverjs/score-mas-scr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 500 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.

Model	Per session	Once invoked
Fable 5.1	$0.00059	$0.00500
Opus 5	$0.00030	$0.00250
Sonnet 5	$0.00012	$0.00100
Haiku 4.5	$0.00006	$0.00050

Measured 10d ago against content hash 8ac1133034a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

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 10d 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.

.skills/skills/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:

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

SCR:

Strip suffix '.scr' from the model name, if present
Verify: sas-score-find-scr({ model })
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:

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
Read table → use read-strategy skill
Score each row — tools accept a single row; loop over rows calling the tool for each
Return rows with predictions appended
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.

10d ago First seen · 61 lines · 59 tokens per session scan A 8ac1133034a8

Subscribe to this mod's changes

score-mas-scr is a skill published in the GitHub repository sassoftware/sas-score-mcp-serverjs (1 stars, last pushed yesterday), licensed Apache-2.0. It adds 59 tokens to every session and 500 once invoked, about $0.0003 per session on Opus 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 2026-08-31.

Analytics and metrics

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

sas-score-mcp-serverjs: Skill for Claude Code