Agent skill · Workflow & Productivity

scienceworld-environment-scanner

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.

zjunlpgithub.com/zjunlpGitHub ↗
claude-codeMIT
Install
npx skills add zjunlp/SkillNet --skill scienceworld-environment-scanner --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 1 KB
Bundled scripts: none
Path: experiments/src/skills/scienceworld/scienceworld-environment-scanner/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,117
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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

What's inside
Steps it walks through
  1. Core Action
  2. Output Interpretation
  3. Example Output Format
Ships with 1 file
  • references/action_primer.md
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About this skill
What does the scienceworld-environment-scanner skill do?

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.

How do I install it?

Run `npx skills add zjunlp/SkillNet --skill scienceworld-environment-scanner --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From zjunlp/SkillNet, a repository with 1,117 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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