alfworld-goal-interpreter SKILL.md skillA
alfworld-goal-interpreter from zjunlp/skillnet is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add zjunlp/skillnet/alfworld-goal-interpreter@git:20260307.388baa3Pins git:20260307.388baa3 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- zjunlp/skillnet
- Path
experiments/src/skills/alfworld/alfworld-goal-interpreter/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260307.388baa3, committed Mar 7, 2026
- Size
- 2,302 bytes
- Repository stars
- 1,449
- License
- MIT
Parses the natural language task goal to extract actionable sub-objectives and required objects. Trigger this skill whenever a new task is assigned to break down complex instructions into clear, sequential targets. It interprets phrases like 'look at X under Y' to identify target objects (pillow), reference objects (desklamp), and spatial relationships (under).
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Goal Interpretation Protocol ## 1. Parse the Task Statement When a new task is assigned, immediately analyze the natural language instruction to extract its core components. Use the parsing script (`parse_goal.py`) to perform this analysis. **Input:** The raw task string (e.g., "look at pillow under the desklamp"). **Output:** A structured dictionary containing: - `primary_target`: The main object to interact with. - `reference_object`: The object that defines a location or condition. - `spatial_relation`: The preposition linking them (e.g., under, on, in). - `action`: The verb defining the required interaction. ## 2. Generate Sub-Objectives Based on the parsed components, formulate a clear, sequential plan. The plan must account for the spatial relationship. **Example Logic:** - **IF** relation is `under` → Sub-goal 1: Locate the `reference_object`. Sub-goal 2: Inspect the area beneath it for the `primary_target`. - **IF** relation is `in` or `on` → Sub-goal 1: Locate the `reference_object`. Sub-goal 2: Check its contents/surface. ## 3. Identify Required Objects & Actions …
Read the whole file at its exact version.
How to install
mdr add zjunlp/skillnet/alfworld-goal-interpreter@sha256:5459842fff5b2a2bThe line at the top of this page pins the label git:20260307.388baa3, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_5kwsno74o4cmvjxd)
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Versions
The registry has recorded 1 version of this file, committed on Mar 7, 2026.
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 (2302 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 · 1,449 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_5kwsno74o4cmvjxd GET https://markdownregistry.com/api/v1/resolve?ref=zjunlp/skillnet/alfworld-goal-interpreter GET https://markdownregistry.com/api/v1/blob/5459842fff5b2a2b76e4827456774e55d383abc615ea179d65526c2257b7621c
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.