# Salience Splitter

> Splits an over-loaded always-loaded context asset — a SKILL.md, CLAUDE.md, or memory index — into a lean always-loaded layer + an on-demand layer, using a governance-semantic criterion (not length, but when the content is needed), connected by imperative pointers. Based on paper §9.5 Protocol-Priority Split pattern. Diagnoses, classifies, splits, and verifies in one pass. Renamed from skill-splitter (old name still routes here). Triggers: "SKILL.md too large", "split this skill", "skill is bloated", "skill file too long", "CLAUDE.md 너무 커".

## Facts
- Page: https://tashan.sh/capability/skill-chrono-meta-salience-splitter
- tashan id: skill:chrono-meta/salience-splitter
- Source: https://github.com/chrono-meta/forge-harness
- Type: skill
- Category: other
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 100.0
- Freshness: 100.0
- 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 salience-splitter ~/.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 2026-08-25 by tashan (https://tashan.sh) from public evidence. Scorer s5.