alfworld-environment-scanner skillA
alfworld-environment-scanner is agent-read markdown (skill) from zjunlp/skillnet: 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..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# 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. …
Read the whole file at its exact version.
How to install
mdr add zjunlp/skillnet/alfworld-environment-scanner@git:20260316.e08426emdr add zjunlp/skillnet/alfworld-environment-scanner@sha256:344aa0d87d5628e6Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_zm6tih76jve43v7v)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260316.e08426e latest | 2026-03-16 | e08426e | 3,144 B | A | view · diff |
| git:20260307.388baa3 | 2026-03-07 | 388baa3 | 3,044 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3144 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
zjunlp/skillnet · 1,266 stars · license MIT · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_zm6tih76jve43v7v GET https://markdownregistry.com/api/v1/resolve?ref=zjunlp/skillnet/alfworld-environment-scanner GET https://markdownregistry.com/api/v1/blob/344aa0d87d5628e6c1cba318f6e0492f663a6a0ecb80c2529f6394cf156efcfb
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