# 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.