scienceworld-task-interpreter SKILL.md skillA
scienceworld-task-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/scienceworld-task-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/scienceworld/scienceworld-task-interpreter/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260307.388baa3, committed Mar 7, 2026
- Size
- 1,977 bytes
- Repository stars
- 1,449
- License
- MIT
This skill parses a user's high-level scientific task in the ScienceWorld environment and extracts the core objective and target location. It should be triggered when a new task instruction is received, especially those involving finding, comparing, or manipulating objects. The skill interprets the query to identify the goal (e.g., 'find the animal with the shortest life span') and any specified locations (e.g., 'animals are in the outside location'), outputting a clear, actionable sub-goal…
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
# Instructions Activate this skill when the user provides a new task instruction for the ScienceWorld environment. Your primary function is to interpret the instruction and generate a clear, executable plan. ## 1. Parse the Task Read the user's instruction carefully. Extract the following core components: * **Primary Objective:** What is the ultimate goal? (e.g., "find", "compare", "manipulate"). * **Target Object/Subject:** What is the main focus of the task? (e.g., "animal with the shortest life span"). * **Specified Location:** Is a location explicitly mentioned? (e.g., "animals are in the 'outside' location"). ## 2. Formulate the Plan Based on the parsed components, construct a plan. The standard plan structure is: 1. **Navigate:** If a target location is specified and you are not there, teleport to it immediately. 2. **Observe:** Upon arriving at the correct location, use `look around` to survey the environment and identify relevant objects. 3. **Analyze & Execute:** Apply domain knowledge or comparative reasoning to the observed objects to fulfill the primary objective. Then, take the final required action (e.g., `focus on [OBJECT]`, `pick up [OBJECT]`). …
Read the whole file at its exact version.
How to install
mdr add zjunlp/skillnet/scienceworld-task-interpreter@sha256:7d92518df5f016baThe 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_upltlkmxacl2gjcj)
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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 (1977 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_upltlkmxacl2gjcj GET https://markdownregistry.com/api/v1/resolve?ref=zjunlp/skillnet/scienceworld-task-interpreter GET https://markdownregistry.com/api/v1/blob/7d92518df5f016baaad36c7eb674561669b9a3d0008371b2630b2176502370ae
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.