# Selection Decisions And Scoring

> - Use when deciding how to combine selection procedures and turn scores into decisions — compensatory vs. multiple-hurdle models, cutoff scores, banding, rank-order/top-down selection, norms, and communicating effectiveness via expectancy charts and utility. Covers the validity/diversity tradeoffs and the documentation each choice requires. Triggers: "cutoff score", "banding", "rank order vs cutoff", "compensatory vs multiple hurdle", "combine test scores", "set a passing score", "utility analysis", "expectancy chart", "norms".

## Facts
- Page: https://tashan.sh/capability/skill-openmatter-network-selection-decisions-and-scoring
- tashan id: skill:OpenMatter-Network/selection-decisions-and-scoring
- Source: https://github.com/OpenMatter-Network/agent-io-skills
- Type: skill
- Category: other
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 71.0
- Freshness: 76.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: MIT
- Official: no

## Install

```sh
cp -r selection-decisions-and-scoring ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-15 by tashan (https://tashan.sh) from public evidence. Scorer s5.