`graphify extract --backend <gemini|claude|claude-cli|openai|kimi|...>` produced
zero hyperedges for any corpus: llm._EXTRACTION_SYSTEM only showed
"hyperedges":[] in its output schema and never described what a hyperedge is, so
every model returned the empty array. Meanwhile the agent/skill path, whose
references/extraction-spec.md fully documents hyperedges ("3 or more nodes
participate together..."), produced them — the two prompts had drifted.
Bring the native prompt in line with the skill spec: add the hyperedge
instruction and a populated schema example. The parse/merge side already handled
hyperedges, so this is prompt-only. Verified with a real claude-cli run — a doc
that previously yielded 0 hyperedges now yields one, correctly relativized (#1418).
Adds two guard tests: the native prompt must request hyperedges with a populated
example, and it must share the skill spec's hyperedge wording so they can't drift
apart again.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
safishamsi
aad3b47098