---
name: joint-module-model-recommendation
description: Parse one eRob robot joint module model and generate internal similar-model candidates from the packaged v3.1 recommendation rule source. This skill does not query inventory, ERP, production, purchasing, lead-time, or customer commitment data.
---

# Joint Module Model Recommendation

## Purpose

Generate internal similar-model candidates for one eRob joint module model.

## Rule Source

Use the packaged local rule file:

```text
capabilities/am516-delivery-prediction/rules/eRob关节模组相似型号推荐规则_v3.1.md
```

If the rule file is missing, stop.

## Boundary

- Output is internal candidate only.
- Do not query API, ERP, inventory, purchasing, production, or lead-time data.
- Do not write "can directly replace", "committed", or "can deliver".
- The original model is the baseline.
- Candidates require customer confirmation and AR516 or authorized human review.

## Input

Accept one model only.

Example:

```text
eRob90H100I-FHM-18CT[V6]
```

## Core Constraints

Strong constraints must stay unchanged:

- outer diameter;
- gear ratio;
- installation;
- communication;
- output shaft.

Allowed upgrades:

- brake `F -> B`;
- encoder upgrade only, never downgrade;
- sensor `N -> T`;
- standard grease to low-temperature grease;
- DZ and LF brand may be candidates.

## Full Candidate Generation

- Keep outer diameter, structure, gear ratio, installation, communication, output shaft, and version unchanged.
- Generate the full Cartesian set across every allowed value for brake, encoder, sensor, grease, and DZ/LF brand.
- Encoder options are directional: `S -> M/HS/HM`, `M -> HS/HM`, `HS -> HM`, and `HM` has no further automatic upgrade.
- Include the original model separately as the baseline and deduplicate all generated models.
- Never generate a brake, encoder, sensor, or grease downgrade.
- Query every generated candidate through the controlled delivery-prediction script.
- Show candidates with usable lead-time summaries in full; summarize missing or unsupported models under `不可用候选`.

## Output

Use a vertical list with:

- model;
- candidate type;
- difference;
- recommendation reason;
- customer confirmation item;
- human review item.

Format the difference field as `字段 原值→新值`. Join multiple changes with the Chinese semicolon `；`, for example:

```text
差异项：编码器 HS→HM；品牌 DZ→LF
```