# Policy Mapper

> Empirically MAP ONE function's algorithm policy by N-way-benchmarking every candidate algorithm × LimbSize across the full width/scale surface (+ edge input values) — producing the verified win-region map. DECIMAL sweeps the 5-point scale grid per width and bisects where winners change; INT brute-forces every width. Measure-only: the map is the deliverable; policy-applier wires it. One agent per policy; the coordinator verifies the map is complete.

## Facts
- Page: https://tashan.sh/capability/skill-mootable-policy-mapper
- tashan id: skill:mootable/policy-mapper
- Source: https://github.com/mootable/decimal-scaled
- Type: skill
- Category: finance
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 98.0
- Freshness: 95.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: NOASSERTION
- Official: no

## Install

```sh
cp -r policy-mapper ~/.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 2026-08-09 by tashan (https://tashan.sh) from public evidence. Scorer s5.