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-list-mas-job-jobdefgit 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-list-mas-job-jobdef)<a href="https://agentmods.dev/skills/sassoftware/sas-score-mcp-serverjs/sas-score-list-mas-job-jobdef"><img src="https://agentmods.dev/badge/skills/sassoftware/sas-score-mcp-serverjs/sas-score-list-mas-job-jobdef/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-list-mas-job-jobdef"><img src="https://agentmods.dev/badge/skills/sassoftware/sas-score-mcp-serverjs/sas-score-list-mas-job-jobdef.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 | $0.00053 | $0.00333 |
| Opus 5.5 | $0.00021 | $0.00133 |
| Sonnet 5.5 | $0.00011 | $0.00067 |
| Haiku 4.5 | $0.00005 | $0.00033 |
Grade A, and why
sas-score-list-mas-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.
What it actually says
List MAS Models, Jobs, and JobDefs
Trigger: user says "list models", "show all jobs", "browse jobdefs", "enumerate MAS models", etc.
Do not use this skill for libraries or tables — use the sas-score-list-library or sas-score-list-tables skills for those.
Workflow
| Resource | List Tool | Notes |
|---|---|---|
| MAS Models | sas-score-list-mas |
Default when model type is unspecified |
| Jobs | sas-score-list-jobs |
|
| JobDefs | sas-score-list-jobdefs |
|
| SCR Models | (no list tool) | Explain no list tool exists; ask user for a specific SCR URL |
Call the appropriate tool directly with pagination parameters and return results.
If the user asks to list SCR Models, explain that no list tool is available for SCR Models and ask the user to provide a specific SCR URL instead.
Pagination
For the first page pass start=1 and limit=10. For subsequent pages compute start = previous_start + limit.
- If returned count equals
limit: hint that more items are available and offer a next page. - If returned count is less than
limit: inform the user that all results have been returned.
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 · 32 lines · 53 tokens per session scan A fde2bb113b49
sas-score-list-mas-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 53 tokens to every session and 333 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.
Other skills, from other repositories
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…
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…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
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…
next-cache-components-optimizer
Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards…