# Two Tier Extraction

> | Tiered LLM extraction pattern for large corpus processing (email archives, document dumps, transcript libraries). A utility-tier model triages and classifies at speed; the reasoning tier does the default deep read; the deep tier is the escalation for the highest-value content. Prevents spending deep-tier money on noise while ensuring the important content gets the best eyes. A deterministic privacy wall runs before any LLM call.

## Facts
- Page: https://tashan.sh/capability/skill-cheroma-two-tier-extraction
- tashan id: skill:cheRoma/two-tier-extraction
- Source: https://github.com/cheRoma/gbrain-link-chat
- Type: skill
- Category: other
- tashan score: 50.0 / 100
- Adoption: 14.0
- Upkeep: 98.0
- Freshness: 96.0
- 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 two-tier-extraction ~/.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 2026-09-12 by tashan (https://tashan.sh) from public evidence. Scorer s5.