# Alfworld Environment Scanner

Performs an initial scan of the ALFWorld environment to identify all visible objects...

- Repository: https://github.com/zjunlp/SkillNet (1441 stars)
- Category: Engineering
- License: MIT
- Last updated: 2026-10-13
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add zjunlp/SkillNet --skill alfworld-environment-scanner -g -a claude-code -y`
Codex: `npx skills add zjunlp/SkillNet --skill alfworld-environment-scanner -g -a codex -y`
Cursor: `npx skills add zjunlp/SkillNet --skill alfworld-environment-scanner -g -a cursor -y`
Gemini CLI: `npx skills add zjunlp/SkillNet --skill alfworld-environment-scanner -g -a gemini-cli -y`

## Description

Performs an initial scan of the ALFWorld environment to identify all visible objects and receptacles. Use when you first enter an environment and need to build a mental map for task planning. Processes raw observation text into a structured list of entities, categorizing them as objects or receptacles.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Instructions

## Primary Objective
Execute an initial environmental scan at the start of any Alfworld task. Your goal is to systematically identify and catalog all objects and receptacles mentioned in the initial observation text.

## Core Workflow
1.  **Trigger:** This skill is triggered immediately upon receiving the initial environment description from the simulator (e.g., "You are in the middle of a room. Looking quickly around you, you see...").
2.  **Parse & Extract:** Process the raw observation text. Extract every noun phrase that represents a physical entity (object or receptacle). Note the naming convention (e.g., "armchair 2", "diningtable 1").
3.  **Categorize:** Mentally categorize each entity. A **receptacle** is a surface or container that can hold other objects (e.g., `sofa`, `sidetable`, `diningtable`, `dresser`). An **object** is an item that can be manipulated (e.g., `laptop`, `creditcard`, `pillow`). Some entities (like `ottoman`) can be both depending on context.
4.  **Output Structured Mental Map:** Formulate a clear, concise internal summary. Do not output this summary to the simulator, it is for your planning use only.
    *   **Format:** `Scan Complete. Receptacles: [list]. Objects: [list].`
    *   **Example:** Based on the trajectory, the mental map should be: `Scan Complete. Receptacles: [armchair 2, armchair 1, diningtable 1, drawer 4, drawer 3, drawer 2, drawer 1, dresser 1, garbagecan 1, ottoman 1, sidetable 3, sidetable 2, sidetable 1, sofa 1]. Objects: [].` *(Note: Initial scan only lists visible furniture; objects on them are discovered upon interaction.)*

The rest: https://github.com/zjunlp/SkillNet/blob/HEAD/experiments/src/skills/alfworld/alfworld-environment-scanner/SKILL.md