lunasearch — Cheap Parallel Discovery Lane (depends on cxc-search)

Use for requested cheap, broad, parallel discovery (루나검색, 병렬 웹검색, 싸게 많이 찾아봐). Luna output is candidate evidence only; the main model runs cxc-search source-open proof before synthesis.

The user of this skill is already running on Luna, so do not call catalog_list or any model-picker probe before spawning. Hardcode the model directly on every spawn call:

agent_type: "explorer"
model: "gpt-5.6-luna"
reasoning_effort: "low"

If the spawn call returns a model-not-found / invalid-model error, do not retry with a probe. Fall through to serial dispatch immediately: re-issue the same spawn without the model field so the subagent inherits the main session model. State plainly which path each agent took. No silent fallback to 5.5 and no catalog round-trip — the error itself is the signal, and the serial retry is the recovery.

Default reasoning_effort is "low" — Luna lanes are cheap discovery, not deep reasoning. Keep final judgment in the main session regardless.

Conditional References

Condition	Reference
Before spawning discovery lanes	Spawn surface and skill attachment
Choosing lanes, waiting, proof handoff or final report	Swarm and report