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.
curl -O https://raw.githubusercontent.com/sassoftware/sas-score-mcp-serverjs/main/.skills/skills/score-strategy/SKILL.mdgit 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/score-strategy)<a href="https://agentmods.dev/skills/sassoftware/sas-score-mcp-serverjs/score-strategy"><img src="https://agentmods.dev/badge/skills/sassoftware/sas-score-mcp-serverjs/score-strategy.svg" alt="Measured on agentmods" 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 | $0.00031 | $0.00422 |
| Opus 5 | $0.00015 | $0.00211 |
| Sonnet 5 | $0.00006 | $0.00084 |
| Haiku 4.5 | $0.00003 | $0.00042 |
Grade A, and why
score-strategy 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 8d 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
Score Strategy (Router)
Step 1 — Identify model type
Use the a.b notation rule from request-routing:
Suffix b |
Model type | Skill to use |
|---|---|---|
.mas or (no suffix — default) |
MAS | score-mas-scr |
.scr |
SCR | score-mas-scr |
.job |
Job | score-job-jobdef |
.jobdef |
JobDef | score-job-jobdef |
.sas |
SAS Program | score-program |
.casl |
CAS Program (inline src) | score-cas |
CAS model table (lib.table form, no recognized suffix) + user says "cas model" |
CAS Model | score-cas |
Macro name (no . suffix) |
Macro | score-program |
Step 2 — Delegate
Load the appropriate skill and follow its workflow:
- MAS / SCR →
score-mas-scrskill - Job / JobDef →
score-job-jobdefskill - SAS Program / Macro →
score-programskill - CAS Program / CAS Model →
score-casskill
Model Type from a.b Notation
Short form: if b ∈ {mas, job, jobdef, scr, sas, casl} → model type suffix; anything else → table reference.
Default (no suffix) → MAS.
CAS disambiguation: if the user explicitly says "cas model" or "casmodel" with a
lib.tablereference (no.caslsuffix), route to score-cas withcasmodelparam instead of the MAS default.
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.
- 8d ago First seen · 40 lines · 31 tokens per session scan A ba505e7aa768
score-strategy is a skill published in the GitHub repository sassoftware/sas-score-mcp-serverjs (1 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 31 tokens to every session and 422 once invoked, about $0.0002 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.
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