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Agent skill

Scienceworld Liquid Source Finder

by zjunlp in zjunlp/SkillNet

This skill searches rooms for a liquid source (e.g., sink, toilet, jug) by sequentially surveying different locations.

MITAuto-check passed

Install Scienceworld Liquid Source Finder

skills CLI
$ npx skills add zjunlp/SkillNet --skill scienceworld-liquid-source-finder -a claude-code

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

GitHub CLI
$ gh skill install zjunlp/SkillNet scienceworld-liquid-source-finder --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-liquid-source-find .claude/skills/scienceworld-liquid-source-finder && 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-liquid-source-finder
GitHub stars
1.4k
Token cost
~752 tokens
SKILL.md length
358 words
Files
3 (incl. references)
Skills in repo
122
Repo updated
First seen
Licence
MIT

At a glance

This skill searches rooms for a liquid source (e.g., sink, toilet, jug) by sequentially surveying different locations.

  • Works in 5 steps: Initiate Search: If no liquid source is… → Prioritize Rooms: Teleport to and survey… → Survey Each Room → …
  • SKILL.md covers When to Use, Core Procedure, Key Principles and Quick Reference
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Scienceworld Liquid Source Finder is an agent skill from zjunlp/SkillNet. This skill searches rooms for a liquid source (e.g., sink, toilet, jug) by sequentially surveying different locations. It should be triggered when the task requires obtaining a liquid (like water) and the agent does not have immediate access to it. The skill involves teleporting to candidate rooms, looking around, and identifying potential sources, guiding the agent toward the nearest available liquid.

Its SKILL.md is about 750 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/action_glossary.md` and `references/room_priority.md`).

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

Example prompts

  • “/scienceworld-liquid-source-finder”

Workflow steps

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

  1. Initiate Search: If no liquid source is visible, begin a systematic room survey.
  2. Prioritize Rooms: Teleport to and survey rooms in this order of likelihood
  3. Survey Each Room
  4. Obtain the Liquid
  5. Terminate Search: Once the required liquid is successfully obtained and in your inventory, conclude the skill and return to the main task…

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 Liquid Source Finder loads about 752 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 110 tokens; SKILL.md has 358 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
~752
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.3k

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). 358 words, ~752 tokens.

Download SKILL.mdSave it as .claude/skills/scienceworld-liquid-source-finder/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
scienceworld-liquid-source-finder
description
This skill searches rooms for a liquid source (e.g., sink, toilet, jug) by sequentially surveying different locations. It should be triggered when the task requires obtaining a liquid (like water) and the agent does not have immediate access to it. The skill involves teleporting to candidate rooms, looking around, and identifying potential sources, guiding the agent toward the nearest available liquid.

Skill: Liquid Source Finder

When to Use

Activate this skill when your primary task requires a liquid (e.g., water, juice, paint) and you have confirmed it is not present in your current inventory or immediate vicinity.

Core Procedure

  1. Initiate Search: If no liquid source is visible, begin a systematic room survey.
  2. Prioritize Rooms: Teleport to and survey rooms in this order of likelihood:
    • Kitchen (high priority - contains sink, fridge, cups)
    • Bathroom (high priority - contains sink, toilet, bathtub)
    • Greenhouse (medium priority - contains sink, jugs)
    • Workshop (medium priority - may contain specialized containers)
    • Art Studio (low priority - may contain paint or water for cleaning)
    • Living Room, Bedroom, Hallway (low priority - check for any containers)
  3. Survey Each Room:
    • Use look around upon arrival.
    • Visually scan the observation for liquid sources or containers that might hold liquid (e.g., sink, toilet, jug, cup, bathtub).
    • If a source is found (e.g., a sink), proceed to obtain the liquid. If a container is found (e.g., a jug), examine it or look at it to check its contents.
  4. Obtain the Liquid:
    • If the liquid is in a portable container (e.g., cup containing water), simply pick up the container.
    • If the liquid is in a fixed source (e.g., sink, toilet): a. Ensure you have an empty container in your inventory. If not, find one (e.g., a cup). b. move your container to the source. c. activate the source if necessary (e.g., turn on the sink). d. deactivate the source once done. e. pick up the now-filled container.
  5. Terminate Search: Once the required liquid is successfully obtained and in your inventory, conclude the skill and return to the main task flow.
Show full SKILL.md (83 more words)Show less

Key Principles

  • Efficiency: Do not re-survey rooms unnecessarily. Keep mental note of rooms already visited.
  • Container Management: Always ensure you have a suitable container before attempting to collect liquid from a non-portable source.
  • Observation Parsing: Focus on object names and their described contents. Look for keywords like water, juice, or the name of your target liquid, and objects like sink, toilet, jug.

Quick Reference

Trigger: Need liquid, don't have it. Action Loop: Teleport -> look around -> Identify source -> Collect. Success: Liquid is in 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 2 other files (references) in experiments/src/skills/scienceworld/scienceworld-liquid-source-find of zjunlp/SkillNet.

  • SKILL.md
  • references/action_glossary.md
  • references/room_priority.md

Open the folder on GitHubat commit c527136

Compare with similar skills

Scienceworld Liquid Source Finder 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 Liquid Source Finder compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scienceworld Liquid Source Finder this skillzjunlp/SkillNet1.4k—~752Automated safety check: PassMIT
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Algolia Searchdavila7/claude-code-templates32k4 repos~492Automated safety check: PassMIT
Perplexity Web Searchdavila7/claude-code-templates32k11 repos~3.5kAutomated safety check: NotesMIT
X Search via xAIcode-yeongyu/oh-my-openagent70k—~1.4kAutomated safety check: PassCustom licence
Exa Neural Search via MCPaffaan-m/ECC276k4 repos~1.1kAutomated safety check: PassMIT

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Questions about Scienceworld Liquid Source Finder

What does Scienceworld Liquid Source Finder do?

This skill searches rooms for a liquid source (e.g., sink, toilet, jug) by sequentially surveying different locations. Scienceworld Liquid Source Finder is an agent skill from zjunlp/SkillNet., sink, toilet, jug) by sequentially surveying different locations.

How do I install Scienceworld Liquid Source Finder in Claude Code?

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

How do I install Scienceworld Liquid Source Finder in Codex?

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

Can I use Scienceworld Liquid Source Finder 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-liquid-source-finder -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-liquid-source-finder, .gemini/skills/scienceworld-liquid-source-finder, .github/skills/scienceworld-liquid-source-finder and .opencode/skills/scienceworld-liquid-source-finder in your project.

What does Scienceworld Liquid Source Finder need to run?

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

Does Scienceworld Liquid Source Finder 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 Liquid Source Finder 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 Liquid Source Finder use?

Scienceworld Liquid Source Finder 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 Liquid Source Finder use?

About 752 tokens (SKILL.md is roughly 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 583 tokens, read only when the agent opens those files.

What are the alternatives to Scienceworld Liquid Source Finder?

Skills that share tags, products or a category with Scienceworld Liquid Source Finder: Search (davila7/claude-code-templates, 32k stars), Algolia Search (davila7/claude-code-templates, 32k stars), Perplexity Web Search (davila7/claude-code-templates, 32k stars) and X Search via xAI (code-yeongyu/oh-my-openagent, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scienceworld Liquid Source Finder?

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.