Agent skill

Scienceworld Item Fetcher

by zjunlp in zjunlp/SkillNet

Picks up a specified object from the environment and moves it into the agent's inventory.

MITAuto-check passed

Install Scienceworld Item Fetcher

skills CLI
$ npx skills add zjunlp/SkillNet --skill scienceworld-item-fetcher -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zjunlp/SkillNet scienceworld-item-fetcher --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experiments/src/skills/scienceworld/scienceworld-item-fetcher .claude/skills/scienceworld-item-fetcher && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
scienceworld-item-fetcher
GitHub stars
1.4k
Token cost
~550 tokens
SKILL.md length
276 words
Files
2 (incl. references)
Skills in repo
122
Repo updated
First seen
Licence
MIT

At a glance

Picks up a specified object from the environment and moves it into the agent's inventory.

  • Works in 4 steps: Identify Need: Determine which object is… → Locate Object: Ensure you are in the… → Execute Fetch: Use the pick up action on… → …
  • You identify a required tool
  • SKILL.md covers Purpose, Core Workflow, Key Principles and Example from Trajectory, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Scienceworld Item Fetcher is an agent skill from zjunlp/SkillNet. Picks up a specified object from the environment and moves it into the agent's inventory. Use this skill when you identify a required tool or material (e.g., thermometer, metal pot) that needs to be collected for later use in an experiment or task. Takes an object name as input and confirms the item's transfer to inventory.

Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/action_primer.md`).

The repository describes itself as: Create, Evaluate, and Connect AI Skills. The licence is MIT.

When your agent uses it

  • You identify a required tool
  • Metal pot) that needs to be collected for later use in an experiment

Example prompts

  • “Use the scienceworld-item-fetcher skill to pick up a specified object from the environment and moves it into the agent's inventory”
  • “/scienceworld-item-fetcher”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Identify Need: Determine which object is required for your current or upcoming task (e.g., "thermometer", "metal pot").
  2. Locate Object: Ensure you are in the correct room. Use look around to survey the environment and confirm the object is present and…
  3. Execute Fetch: Use the pick up action on the target object.
  4. Verify Success: Confirm the system observation states the object has been moved to your inventory.

What it can do on your machine

Read from SKILL.md and the folder at commit c527136. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Scienceworld Item Fetcher loads about 550 tokens when it runs, and up to ~982 if it reads all its reference files. Until then it costs about 88 tokens; SKILL.md has 276 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~88
When it runs · the whole SKILL.md, loaded when a task matches
~550
With references · SKILL.md plus every file in references/, read only if the agent opens them
~982

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from zjunlp/SkillNet at commit c527136, republished under its MIT licence (© zjunlp). 276 words, ~550 tokens.

Download SKILL.mdSave it as .claude/skills/scienceworld-item-fetcher/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
scienceworld-item-fetcher
description
Picks up a specified object from the environment and moves it into the agent's inventory. Use this skill when you identify a required tool or material (e.g., thermometer, metal pot) that needs to be collected for later use in an experiment or task. Takes an object name as input and confirms the item's transfer to inventory.

Skill: Fetch and Inventory Item

Purpose

Use this skill when you need to acquire a specific object for a task. It handles locating the object in the current environment and moving it into your inventory for later use.

Core Workflow

  1. Identify Need: Determine which object is required for your current or upcoming task (e.g., "thermometer", "metal pot").
  2. Locate Object: Ensure you are in the correct room. Use look around to survey the environment and confirm the object is present and accessible.
  3. Execute Fetch: Use the pick up action on the target object.
  4. Verify Success: Confirm the system observation states the object has been moved to your inventory.

Key Principles

  • Pre-check: Always look around first to verify the object's presence and location (e.g., on a counter, in a container).
  • Direct Action: Use the simple pick up OBJ command. Do not overcomplicate the sequence.
  • Inventory Focus: After picking up the object, you may focus on it in your inventory to signal readiness for the next step in your main task.
  • Error Handling: If pick up fails, the object might be inside a closed container. Ensure all relevant containers are open first.

Example from Trajectory

Scenario: Needing a thermometer to measure temperature.

  1. Observation: a thermometer, currently reading a temperature of 10 degrees celsius is seen in the kitchen.
  2. Action: pick up thermometer
  3. Result: You move the thermometer to the inventory.
  4. (Optional) Action: focus on thermometer in inventory

Input

  • Object Name: The name of the object to fetch, as it appears in the environment observations (e.g., "thermometer", "metal pot").

Output

  • A confirmation observation that the object is now in the agent's inventory.

© zjunlp, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in experiments/src/skills/scienceworld/scienceworld-item-fetcher of zjunlp/SkillNet.

  • SKILL.md
  • references/action_primer.md

Open the folder on GitHubat commit c527136

Compare with similar skills

Scienceworld Item Fetcher next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Scienceworld Item Fetcher compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scienceworld Item Fetcher this skillzjunlp/SkillNet1.4k—~550Automated safety check: PassMIT
Object Altthedaviddias/Front-End-Checklist74k—~429Automated safety check: PassMIT
Flutter Cherry Pickflutter/flutter180k—~1.8kAutomated safety check: PassBSD-3-Clause
Object Storagesickn33/agentic-awesome-skills47k2 repos~2.6kAutomated safety check: PassMIT
Move Code Qualitydavila7/claude-code-templates33k2 repos~3.2kAutomated safety check: PassMIT
Action Items List Managerasgeirtj/system_prompts_leaks69k—~4.9kAutomated safety check: PassCC0-1.0

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Questions about Scienceworld Item Fetcher

What does Scienceworld Item Fetcher do?

Picks up a specified object from the environment and moves it into the agent's inventory. Scienceworld Item Fetcher is an agent skill from zjunlp/SkillNet. Picks up a specified object from the environment and moves it into the agent's inventory.

When should I use Scienceworld Item Fetcher?

Scienceworld Item Fetcher fits situations like: you identify a required tool; metal pot) that needs to be collected for later use in an experiment.

How do I install Scienceworld Item Fetcher in Claude Code?

Run `npx skills add zjunlp/SkillNet --skill scienceworld-item-fetcher -a claude-code`. Or copy the skill folder (experiments/src/skills/scienceworld/scienceworld-item-fetcher in zjunlp/SkillNet) into .claude/skills/scienceworld-item-fetcher in your project. Claude Code loads it when a task matches its description.

How do I install Scienceworld Item Fetcher in Codex?

Run `npx skills add zjunlp/SkillNet --skill scienceworld-item-fetcher -a codex`. Or copy the skill folder (experiments/src/skills/scienceworld/scienceworld-item-fetcher in zjunlp/SkillNet) into .agents/skills/scienceworld-item-fetcher in your project. Codex loads it when a task matches its description.

Can I use Scienceworld Item Fetcher in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zjunlp/SkillNet --skill scienceworld-item-fetcher -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scienceworld-item-fetcher, .gemini/skills/scienceworld-item-fetcher, .github/skills/scienceworld-item-fetcher and .opencode/skills/scienceworld-item-fetcher in your project.

What does Scienceworld Item Fetcher need to run?

SKILL.md names no scripts, command-line tools or credentials: Scienceworld Item Fetcher is instructions for the agent only.

Does Scienceworld Item Fetcher access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Scienceworld Item Fetcher safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Scienceworld Item Fetcher use?

Scienceworld Item Fetcher is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Scienceworld Item Fetcher use?

About 550 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 432 tokens, read only when the agent opens those files.

What are the alternatives to Scienceworld Item Fetcher?

Skills that share tags, products or a category with Scienceworld Item Fetcher: Object Alt (thedaviddias/Front-End-Checklist, 74k stars), Flutter Cherry Pick (flutter/flutter, 180k stars), Object Storage (sickn33/agentic-awesome-skills, 47k stars) and Move Code Quality (davila7/claude-code-templates, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scienceworld Item Fetcher?

zjunlp (a GitHub organization) maintains it in zjunlp/SkillNet, which has 1,397 GitHub stars. The repository holds 122 skills in this directory. The repository was last updated on October 9, 2026.

Source: zjunlp/SkillNet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.