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.
npx skills add sassoftware/sas-score-mcp-serverjs --skill sas-score-score-casgit clone --depth 1 https://github.com/sassoftware/sas-score-mcp-serverjsWrote 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.
[](https://agentmods.dev/skills/sassoftware/sas-score-mcp-serverjs/sas-score-score-cas)<a href="https://agentmods.dev/skills/sassoftware/sas-score-mcp-serverjs/sas-score-score-cas"><img src="https://agentmods.dev/badge/skills/sassoftware/sas-score-mcp-serverjs/sas-score-score-cas/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.
<a href="https://agentmods.dev/skills/sassoftware/sas-score-mcp-serverjs/sas-score-score-cas"><img src="https://agentmods.dev/badge/skills/sassoftware/sas-score-mcp-serverjs/sas-score-score-cas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00068 | $0.00948 |
| Opus 5.5 | $0.00027 | $0.00379 |
| Sonnet 5.5 | $0.00014 | $0.00190 |
| Haiku 4.5 | $0.00007 | $0.00095 |
Grade A, and why
sas-score-score-cas 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.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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 (
casmodelinlib.tableform, with optionalname) - 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
srcandcasmodelare provided,casmodeltakes 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 verbatimscenario— input parameters as string ("x=1, y=2") or object ({ x: 1, y: 2 })output— optional CAS table name to return in responselimit— 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 inlib.tableform (e.g.,mylib.mymodel)name— optional model name if different from the table namescenario— input parametersoutput/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: ... } |
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.
- 9d ago First seen · 96 lines · 68 tokens per session scan A 94e777e9ca00
sas-score-score-cas 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 68 tokens to every session and 948 once invoked, about $0.0003 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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