scienceworld-task-parser SKILL.md skillA

scienceworld-task-parser from zjunlp/skillnet is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add zjunlp/skillnet/scienceworld-task-parser@git:20260316.e08426e

Pins git:20260316.e08426e 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-parser/SKILL.md
Versions recorded
2
Latest version
git:20260316.e08426e, committed Mar 16, 2026
First version recorded
Mar 7, 2026
Size
3,109 bytes
Repository stars
1,449
License
MIT

Analyzes user instructions in ScienceWorld environments to extract specific task requirements and constraints. Use when receiving a new task to identify required objects, target locations, and action sequences before taking any environment actions.

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 for ScienceWorld Task Parsing

When you receive a new task instruction in a ScienceWorld environment, follow this process to parse it into a structured plan.

## 1. Parse the Instruction
Immediately analyze the user's natural language instruction. Extract the following core components:
*   **Target Object Type:** Identify the category or description of the object to be manipulated (e.g., 'non-living thing', 'liquid', 'electrical component').
*   **Target Location:** Identify the final destination for the object, including the room and specific container (e.g., 'purple box in the workshop').
*   **Required Actions:** Infer the sequence of actions implied by verbs like "find", "focus on", "move", "pour", "mix", etc.

**Output your analysis as a concise thought.** Example: "Task requires finding a non-living object in the workshop and moving it to the purple box."

## 2. Survey the Environment
*   Use `look around` in your current room to get an inventory of visible objects, containers, and their states.
*   If the target location is a different room, use `teleport to LOC` to go there first, then `look around`.

## 3. Identify the Target Object
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add zjunlp/skillnet/scienceworld-task-parser@sha256:8577631125aaf5d6

The line at the top of this page pins the label git:20260316.e08426e, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_g6jy7zz36zlvg765.svg)](https://markdownregistry.com/a/art_g6jy7zz36zlvg765)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Mar 7, 2026 and Mar 16, 2026, about one every 9 days.

versioncommittedcommitsizeaudit
git:20260316.e08426e latest2026-03-16 e08426e 3,109 BA view · diff
git:20260307.388baa32026-03-07 388baa3 2,771 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3109 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

GitHub

zjunlp/skillnet · 1,449 stars · license MIT · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_g6jy7zz36zlvg765
GET https://markdownregistry.com/api/v1/resolve?ref=zjunlp/skillnet/scienceworld-task-parser
GET https://markdownregistry.com/api/v1/blob/8577631125aaf5d68f1c9a4b70dfb2cc804fd78c3f02cbe3001f406d081f704b

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.

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