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Agent skill

Scienceworld Room Explorer

by zjunlp in zjunlp/SkillNet

Performs an initial survey of a room to identify all visible objects, containers, devices, and their states using the 'look around' action.

MITAuto-check passed

Install Scienceworld Room Explorer

skills CLI
$ npx skills add zjunlp/SkillNet --skill scienceworld-room-explorer -a claude-code

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

GitHub CLI
$ gh skill install zjunlp/SkillNet scienceworld-room-explorer --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-room-explorer .claude/skills/scienceworld-room-explorer && 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-room-explorer
GitHub stars
1.4k
Token cost
~652 tokens
SKILL.md length
317 words
Files
2 (incl. references)
Skills in repo
122
Repo updated
First seen
Licence
MIT

At a glance

Performs an initial survey of a room to identify all visible objects, containers, devices, and their states using the 'look around' action.

  • Works in 4 steps: Upon entering a new room. → When the task requires identifying… → Before planning a complex sequence of… → …
  • You first enter a new location
  • SKILL.md covers Purpose, When to Use, Core Action and Output Processing, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Scienceworld Room Explorer is an agent skill from zjunlp/SkillNet. Performs an initial survey of a room to identify all visible objects, containers, devices, and their states using the 'look around' action. Use this skill when you first enter a new location, need to refresh your understanding of the environment, or must identify available resources before planning a sequence of actions. Returns a detailed observation that serves as foundational context for subsequent tasks.

Its SKILL.md is about 650 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 first enter a new location
  • Need to refresh your understanding of the environment
  • Must identify available resources before planning a sequence of actions

Example prompts

  • “look around”
  • “Use the scienceworld-room-explorer skill to perform an initial survey of a room to identify all visible objects, containers, devices, and their…”
  • “/scienceworld-room-explorer”

Workflow steps

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

  1. Upon entering a new room.
  2. When the task requires identifying available resources.
  3. Before planning a complex sequence of actions (e.g., building a circuit, mixing chemicals).
  4. If the state of the environment may have changed (e.g., after using an object, or if a long time has passed).

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 Room Explorer loads about 652 tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 110 tokens; SKILL.md has 317 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~110
When it runs · the whole SKILL.md, loaded when a task matches
~652
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.1k

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). 317 words, ~652 tokens.

Download SKILL.mdSave it as .claude/skills/scienceworld-room-explorer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
scienceworld-room-explorer
description
Performs an initial survey of a room to identify all visible objects, containers, devices, and their states using the 'look around' action. Use this skill when you first enter a new location, need to refresh your understanding of the environment, or must identify available resources before planning a sequence of actions. Returns a detailed observation that serves as foundational context for subsequent tasks.

Instructions

Purpose

Use this skill to establish a foundational understanding of your immediate environment. It is the critical first step for any task requiring object interaction, inventory assessment, or spatial reasoning.

When to Use

  1. Upon entering a new room.
  2. When the task requires identifying available resources.
  3. Before planning a complex sequence of actions (e.g., building a circuit, mixing chemicals).
  4. If the state of the environment may have changed (e.g., after using an object, or if a long time has passed).

Core Action

Execute the look around action. This is the only action required for this skill.

Output Processing

  1. The observation returned by look around is your primary output.
  2. Parse this observation to create a mental inventory. Key elements to note:
    • Room Name: The identified location.
    • Objects: List all items, containers, and devices.
    • Object States: Note if devices are on/off, containers are open/closed, or if objects contain other items.
    • Connections: Note any pre-existing wire connections or object placements.
    • Exits: Identify doors to other rooms and their state (open/closed).

Example

Scenario: Agent teleports to the kitchen and needs to identify available resources.

  1. teleport to kitchen
  2. look around
  3. Observation: "This room is called the kitchen. In it, you see: a fridge (containing chocolate, milk), a metal pot, a thermometer, a counter, a stove (which is turned off). You also see: a door to the hallway (which is open)."
  4. Parsed inventory: fridge (open, contains chocolate and milk), metal pot, thermometer, counter, stove (off), exit to hallway.

Integration with Other Skills

The observation generated by this skill is essential context for downstream tasks. Before performing actions like pick up, connect, or use, always ensure your understanding of object locations and states is current by running this skill if needed.

Do not use this skill for examining specific objects in detail; use the examine OBJ or look at OBJ actions for that purpose.

© 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-room-explorer of zjunlp/SkillNet.

  • SKILL.md
  • references/action_primer.md

Open the folder on GitHubat commit c527136

Compare with similar skills

Scienceworld Room Explorer 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 Room Explorer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scienceworld Room Explorer this skillzjunlp/SkillNet1.4k—~652Automated safety check: PassMIT
React Performanceaffaan-m/ECC276k1 repos~4.5kAutomated safety check: PassMIT
Explorersupabase/supabase111k—~845Automated safety check: PassApache-2.0
Performance Profileralirezarezvani/claude-skills28k—~684Automated safety check: PassMIT
Cuopt Multi Objective ExplorationNVIDIA/skills3.5k—~3.9kAutomated safety check: PassApache-2.0
Agent Performance Optimizerruvnet/ruflo74k2 repos~3.6kAutomated safety check: PassMIT

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Questions about Scienceworld Room Explorer

What does Scienceworld Room Explorer do?

Performs an initial survey of a room to identify all visible objects, containers, devices, and their states using the 'look around' action. Scienceworld Room Explorer is an agent skill from zjunlp/SkillNet. Performs an initial survey of a room to identify all visible objects, containers, devices, and their states using the 'look around' action.

When should I use Scienceworld Room Explorer?

Scienceworld Room Explorer fits situations like: you first enter a new location; need to refresh your understanding of the environment; must identify available resources before planning a sequence of actions.

How do I install Scienceworld Room Explorer in Claude Code?

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

How do I install Scienceworld Room Explorer in Codex?

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

Can I use Scienceworld Room Explorer 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-room-explorer -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-room-explorer, .gemini/skills/scienceworld-room-explorer, .github/skills/scienceworld-room-explorer and .opencode/skills/scienceworld-room-explorer in your project.

What does Scienceworld Room Explorer need to run?

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

Does Scienceworld Room Explorer 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 Room Explorer 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 Room Explorer use?

Scienceworld Room Explorer 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 Room Explorer use?

About 652 tokens (SKILL.md is roughly 2.6k 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 469 tokens, read only when the agent opens those files.

What are the alternatives to Scienceworld Room Explorer?

Skills that share tags, products or a category with Scienceworld Room Explorer: React Performance (affaan-m/ECC, 276k stars), Explorer (supabase/supabase, 111k stars), Performance Profiler (alirezarezvani/claude-skills, 28k stars) and Cuopt Multi Objective Exploration (NVIDIA/skills, 3.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scienceworld Room Explorer?

zjunlp (a GitHub organization) maintains it in zjunlp/SkillNet, which has 1,394 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.