cxc-lunasearch

# 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: ```text 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](references/spawn-surface.md) and [skill attachment](references/subagent-attachment.md) | | Choosing lanes, waiting, proof handoff or final report | [Swarm and report](references/swarm-and-report.md) |