epigraphy-knowledge-networklisted
Install: claude install-skill Lx050/rubbing-to-knowledge
# Epigraphy Knowledge Network
Build the evidence chain
```text
CandidateMention → HumanAdjudicatedAssertion → EvidenceBackedGraphEdge
```
Software may create candidates. Only a trusted human adjudication creates an
assertion. Only accepted assertions materialize edges, deterministically. No
layer may be skipped.
Version 1.0.0 runs one lane end to end: `synthetic-test-fixture`. Both real
lanes are parsed, reported and blocked, because no trusted rights, authority or
human-identity verifier exists yet. A synthetic pass proves the contract and the
CLI run; it proves nothing about any rubbing, entity identity or graph quality.
Read [input-contract.md](references/input-contract.md) before building an
intake and [output-contract.md](references/output-contract.md) before consuming
a state, query or export. The JSON Schemas give shape; the controller performs
the authoritative semantic and current-file checks.
## Preconditions
1. Finish OCR review and text structuring first; pass an immutable
`epigraphy-text-structure` state plus its verification report, never a draft,
a handoff or a bare OCR result.
2. Register every source, rights record and evidence card, with page/folio or
byte span, excerpt hash and independence group.
3. Freeze `docs/research/registries/predicate-registry-v01.json`; it is a
required input and it is self-hashed.
4. Keep one ResearchCase v1 with question, falsification and stop conditions.
5. Wrap material runs with `research-run-ledger`.
## V