feat: add generated scene skill platform hardening

docs/superpowers/plans/2026-04-18-g7-multi-endpoint-inventory-plan.md

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+# G7 Multi Endpoint Inventory Plan
+
+> Date: 2026-04-18
+> Status: Initial implementation slice
+
+## Plan Intent
+
+Start `G7` after the safe `G6` classification slice.
+
+This plan only establishes boundary classification and fail-closed behavior. It does not implement runnable multi-endpoint inventory aggregation.
+
+## Phase 0: Boundary Freeze
+
+Tasks:
+
+1. use `计量资产库存统计` as the P0 boundary sample
+2. define a repo-local representative fixture
+3. keep `G7` separate from `G1`, `G1-E`, `G6`, and `G8`
+
+Acceptance criteria:
+
+1. `G7` is no longer a `G1` candidate
+2. `G7` is not confused with host bridge workflow
+
+## Phase 1: Analyzer Classification
+
+Tasks:
+
+1. add `multi_endpoint_inventory` as a workflow archetype
+2. detect inventory endpoint families
+3. classify scenes with three or more inventory endpoints as `G7`
+
+Acceptance criteria:
+
+1. `g7_multi_endpoint_inventory` fixture classifies as `multi_endpoint_inventory`
+2. inventory endpoint names include `assetStatsQueryMeter` and `assetStatsQueryJlGnModule`
+
+## Phase 2: Fail-Closed Gate
+
+Tasks:
+
+1. add `g7_inventory_endpoints_detected`
+2. add `g7_fail_closed`
+3. block generation before runnable output
+
+Acceptance criteria:
+
+1. generation returns a controlled error
+2. error message includes `multi_endpoint_inventory`
+3. no pseudo-runnable skill is produced
+
+## Phase 3: Regression
+
+Tasks:
+
+1. run scene generator regression
+2. run family regression
+3. run family policy regression
+4. run canonical regression
+
+Acceptance criteria:
+
+1. all target regressions pass
+2. no existing family baseline regresses
+
+## Next Step
+
+After this safe G7 slice, continue to `G8 抓取落库分析出文档型` boundary assessment.