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

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.