scienceworld-tool-user SKILL.md skillA

scienceworld-tool-user 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-tool-user@git:20260316.1c3faca

Pins git:20260316.1c3faca 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-tool-user/SKILL.md
Versions recorded
2
Latest version
git:20260316.1c3faca, committed Mar 16, 2026
First version recorded
Mar 7, 2026
Size
2,098 bytes
Repository stars
1,449
License
MIT

Uses a tool from inventory on a target object or location to perform a specific environmental interaction, such as digging, cutting, or measuring. Use this skill when a task requires modifying the environment or manipulating materials with a tool (e.g., using a shovel to dig soil, a thermometer to measure temperature, or an axe to cut wood). Takes the tool and target as inputs and outputs the result of the interaction.

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

# Skill: Tool User

## Purpose
Perform a physical action on the environment using a tool from your inventory. The core action is `use TOOL on TARGET`.

## When to Use
- A task requires modifying the environment (digging, cutting, heating).
- You need to measure a property of an object (temperature, conductivity).
- A tool-based interaction is the next step in your experiment workflow.

## Core Workflow
1. **Ensure Tool in Inventory:** The required tool (e.g., `shovel`, `thermometer`, `axe`) must be in your inventory. Use `pick up OBJ` if it is not.
2. **Identify Target:** Determine the exact target object or location name (e.g., `ground`, `tree`, `metal fork`).
3. **Execute:** `use TOOL on TARGET`.
4. **Interpret Result:** Read the observation output to determine the outcome (e.g., temperature reading, state change).

## Key Actions
| Action | Purpose |
|--------|---------|
| `pick up OBJ` | Acquire tool if not in inventory |
| `use OBJ on OBJ` | Perform tool interaction |
| `look around` | Confirm target identity and location |

## Example
**Task:** Measure the temperature of a metal fork using a thermometer.

1. `pick up thermometer` — ensure tool is in inventory
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add zjunlp/skillnet/scienceworld-tool-user@sha256:b0402aa357cc79bd

The line at the top of this page pins the label git:20260316.1c3faca, 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_ybafllsykcxb5hmj.svg)](https://markdownregistry.com/a/art_ybafllsykcxb5hmj)

2 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:20260316.1c3faca latest2026-03-16 1c3faca 2,098 BA view · diff
git:20260307.388baa32026-03-07 388baa3 900 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 (2098 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_ybafllsykcxb5hmj
GET https://markdownregistry.com/api/v1/resolve?ref=zjunlp/skillnet/scienceworld-tool-user
GET https://markdownregistry.com/api/v1/blob/b0402aa357cc79bd9c7c41fe2d220694d964952c1eb88a8e2e707cc6b78ad8f0

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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