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Agent skill

Scienceworld Environment Scanner

by zjunlp in zjunlp/SkillNet

This skill performs an initial observation of the current location to identify available objects, containers, and connections to other rooms.

MITAuto-check passed

Install Scienceworld Environment Scanner

skills CLI
$ npx skills add zjunlp/SkillNet --skill scienceworld-environment-scanner -a claude-code

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

GitHub CLI
$ gh skill install zjunlp/SkillNet scienceworld-environment-scanner --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-environment-scanner .claude/skills/scienceworld-environment-scanner && 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-environment-scanner
GitHub stars
1.4k
Token cost
~333 tokens
SKILL.md length
127 words
Files
2 (incl. references)
Skills in repo
122
Repo updated
First seen
Licence
MIT

At a glance

This skill performs an initial observation of the current location to identify available objects, containers, and connections to other rooms.

  • SKILL.md covers Core Action, Output Interpretation and Example Output Format
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Scienceworld Environment Scanner is an agent skill from zjunlp/SkillNet. This skill performs an initial observation of the current location to identify available objects, containers, and connections to other rooms. Use this when starting a new task in ScienceWorld to gather situational awareness, especially when the agent needs to understand its surroundings before taking action. It outputs a detailed room description, listing visible items and accessible doors.

Its SKILL.md is about 330 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.

Example prompts

  • “/scienceworld-environment-scanner”

What it can do on your machine

Read from SKILL.md and the folder at commit 3fcebf8. 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 Environment Scanner loads about 333 tokens when it runs, and up to ~622 if it reads all its reference files. Until then it costs about 107 tokens; SKILL.md has 127 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~107
When it runs · the whole SKILL.md, loaded when a task matches
~333
With references · SKILL.md plus every file in references/, read only if the agent opens them
~622

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 3fcebf8, republished under its MIT licence (© zjunlp). 127 words, ~333 tokens.

Download SKILL.mdSave it as .claude/skills/scienceworld-environment-scanner/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
scienceworld-environment-scanner
description
This skill performs an initial observation of the current location to identify available objects, containers, and connections to other rooms. Use this when starting a new task in ScienceWorld to gather situational awareness, especially when the agent needs to understand its surroundings before taking action. It outputs a detailed room description, listing visible items and accessible doors.

Instructions

Execute this skill when you first arrive at a location in ScienceWorld or when you need to refresh your understanding of the current environment.

Core Action

  1. Always begin by using the look around action. This is the primary and mandatory step of this skill. It provides the foundational observation of the room.

Output Interpretation

After executing look around, analyze the observation. Your analysis must structure the output clearly:

  • Current Room: State the name of the room you are in.
  • Visible Objects & Substances: List all items and substances reported in the observation.
  • Accessible Doors: List all doors mentioned, noting their destination and whether they are open or closed.
  • Initial Assessment: Briefly note any items of immediate interest or relevance to your known task.

Example Output Format

© 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-environment-scanner of zjunlp/SkillNet.

  • SKILL.md
  • references/action_primer.md

Open the folder on GitHubat commit 3fcebf8

Compare with similar skills

Scienceworld Environment Scanner 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 Environment Scanner compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scienceworld Environment Scanner this skillzjunlp/SkillNet1.4k—~333Automated safety check: PassMIT
React Performanceaffaan-m/ECC275k1 repos~4.5kAutomated safety check: PassMIT
Performance Profileralirezarezvani/claude-skills28k—~684Automated safety check: PassMIT
Langsmith ObservabilityOrchestra-Research/AI-Research-SKILLs13k3 repos~2.4kAutomated safety check: PassMIT
ObservabilityBuilderIO/agent-native7.1k—~7kAutomated safety check: PassNone
Frontend Observabilitysickn33/agentic-awesome-skills47k1 repos~5.1kAutomated safety check: PassMIT

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  • Alfworld Receptacle Searcher

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Questions about Scienceworld Environment Scanner

What does Scienceworld Environment Scanner do?

This skill performs an initial observation of the current location to identify available objects, containers, and connections to other rooms. Scienceworld Environment Scanner is an agent skill from zjunlp/SkillNet. This skill performs an initial observation of the current location to identify available objects, containers, and connections to other rooms.

How do I install Scienceworld Environment Scanner in Claude Code?

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

How do I install Scienceworld Environment Scanner in Codex?

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

Can I use Scienceworld Environment Scanner 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-environment-scanner -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-environment-scanner, .gemini/skills/scienceworld-environment-scanner, .github/skills/scienceworld-environment-scanner and .opencode/skills/scienceworld-environment-scanner in your project.

What does Scienceworld Environment Scanner need to run?

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

Does Scienceworld Environment Scanner 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 Environment Scanner 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 Environment Scanner use?

Scienceworld Environment Scanner 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 Environment Scanner use?

About 333 tokens (SKILL.md is roughly 1.3k 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 289 tokens, read only when the agent opens those files.

What are the alternatives to Scienceworld Environment Scanner?

Skills that share tags, products or a category with Scienceworld Environment Scanner: React Performance (affaan-m/ECC, 275k stars), Performance Profiler (alirezarezvani/claude-skills, 28k stars), Langsmith Observability (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Observability (BuilderIO/agent-native, 7.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scienceworld Environment Scanner?

zjunlp (a GitHub organization) maintains it in zjunlp/SkillNet, which has 1,393 GitHub stars. The repository holds 122 skills in this directory. The repository was last updated on October 7, 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.