# Citation Graph Ingest

> | Build a TYPED citation/reference graph over an ingested corpus — not just embeddings. Flat similarity retrieval cannot tell you that document A overrules B, distinguishes C, or relieson D. This skill extracts every inter-document reference, classifies the edge TYPE with LLM judgment, and writes first-class typed edges via gbrain link, so gbrain graph-query --type can walk the argument ("everything this brief relies on, minus anything overruled since"). Every cite-heavy corpus is the same shape: law, academic papers, patents, regulatory filings, a book's bibliography.

## Facts
- Page: https://tashan.sh/capability/skill-cheroma-citation-graph-ingest
- tashan id: skill:cheRoma/citation-graph-ingest
- 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 citation-graph-ingest ~/.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.