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Agent skill

Scienceworld Material Classifier

by zjunlp in zjunlp/SkillNet

This skill makes a determination about a material's property (e.g., conductivity) based on environmental cues or domain knowledge when direct testing fails.

MITAuto-check passed

Install Scienceworld Material Classifier

skills CLI
$ npx skills add zjunlp/SkillNet --skill scienceworld-material-classifier -a claude-code

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

GitHub CLI
$ gh skill install zjunlp/SkillNet scienceworld-material-classifier --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-material-classifier .claude/skills/scienceworld-material-classifier && 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-material-classifier
GitHub stars
1.4k
Token cost
~398 tokens
SKILL.md length
164 words
Files
3 (incl. references)
Skills in repo
122
Repo updated
First seen
Licence
MIT

At a glance

This skill makes a determination about a material's property (e.g., conductivity) based on environmental cues or domain knowledge when direct testing fails.

  • Works in 5 steps: focus on — identify the target and note… → Attempt direct testing if equipment… → If testing fails, infer the property… → …
  • It when experimental actions are invalid
  • SKILL.md covers When to Use, Procedure and Example
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Scienceworld Material Classifier is an agent skill from zjunlp/SkillNet. This skill makes a determination about a material's property (e.g., conductivity) based on environmental cues or domain knowledge when direct testing fails. Trigger it when experimental actions are invalid or unavailable, requiring a logical inference. It uses observed object properties and common-sense reasoning to classify the material and decide its final disposition.

Its SKILL.md is about 400 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/material_properties.json` and `references/material_properties.md`).

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

When your agent uses it

  • It when experimental actions are invalid
  • Requiring a logical inference

Example prompts

  • “/scienceworld-material-classifier”

Workflow steps

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

  1. focus on — identify the target and note its material composition.
  2. Attempt direct testing if equipment exists (e.g., connect terminal 1 to terminal 2).
  3. If testing fails, infer the property from the object's material. Consult references/material_properties.md for lookup.
  4. move to — place in the appropriate classification container.
  5. look at — verify the object was placed correctly.

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 Material Classifier loads about 398 tokens when it runs, and up to ~977 if it reads all its reference files. Until then it costs about 102 tokens; SKILL.md has 164 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~398
With references · SKILL.md plus every file in references/, read only if the agent opens them
~977

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). 164 words, ~398 tokens.

Download SKILL.mdSave it as .claude/skills/scienceworld-material-classifier/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
scienceworld-material-classifier
description
This skill makes a determination about a material's property (e.g., conductivity) based on environmental cues or domain knowledge when direct testing fails. Trigger it when experimental actions are invalid or unavailable, requiring a logical inference. It uses observed object properties and common-sense reasoning to classify the material and decide its final disposition.

Material Classification Skill

When to Use

Activate when direct experimental testing of a material property (conductivity, magnetism, etc.) fails or equipment is unavailable, and you need to classify the material by inference to complete a sorting task.

Procedure

  1. focus on <OBJECT> — identify the target and note its material composition.
  2. Attempt direct testing if equipment exists (e.g., connect <OBJECT> terminal 1 to <WIRE> terminal 2).
  3. If testing fails, infer the property from the object's material. Consult references/material_properties.md for lookup.
  4. move <OBJECT> to <CONTAINER> — place in the appropriate classification container.
  5. look at <CONTAINER> — verify the object was placed correctly.

Example

Task: Classify a glass jar for electrical conductivity when the circuit test is unavailable.

  1. focus on glass jar
  2. connect glass jar terminal 1 to yellow wire terminal 2 — action fails (invalid connection).
  3. Inference: glass is an electrical insulator → non-conductive.
  4. move glass jar to orange box
  5. look at orange box — observation: "containing a glass jar" — classification complete.

© 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-material-classifier of zjunlp/SkillNet.

  • SKILL.md
  • references/material_properties.json
  • references/material_properties.md

Open the folder on GitHubat commit 3fcebf8

Compare with similar skills

Scienceworld Material Classifier 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 Material Classifier compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scienceworld Material Classifier this skillzjunlp/SkillNet1.4k—~398Automated safety check: PassMIT
CSS At Propertythedaviddias/Front-End-Checklist74k—~602Automated safety check: PassMIT
Setting Up Warehouse PropertiesPostHog/posthog40k—~2.3kAutomated safety check: PassCustom licence
Logical Propertiesthedaviddias/Front-End-Checklist74k—~526Automated safety check: PassMIT
Investor Materialsaffaan-m/ECC275k3 repos~268Automated safety check: PassMIT
Material Designsickn33/agentic-awesome-skills47k1 repos~2.6kAutomated safety check: PassMIT

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Questions about Scienceworld Material Classifier

What does Scienceworld Material Classifier do?

This skill makes a determination about a material's property (e.g., conductivity) based on environmental cues or domain knowledge when direct testing fails. Scienceworld Material Classifier is an agent skill from zjunlp/SkillNet., conductivity) based on environmental cues or domain knowledge when direct testing fails.

When should I use Scienceworld Material Classifier?

Scienceworld Material Classifier fits situations like: it when experimental actions are invalid; requiring a logical inference.

How do I install Scienceworld Material Classifier in Claude Code?

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

How do I install Scienceworld Material Classifier in Codex?

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

Can I use Scienceworld Material Classifier 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-material-classifier -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-material-classifier, .gemini/skills/scienceworld-material-classifier, .github/skills/scienceworld-material-classifier and .opencode/skills/scienceworld-material-classifier in your project.

What does Scienceworld Material Classifier need to run?

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

Does Scienceworld Material Classifier 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 Material Classifier 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 Material Classifier use?

Scienceworld Material Classifier 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 Material Classifier use?

About 398 tokens (SKILL.md is roughly 1.6k 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 579 tokens, read only when the agent opens those files.

What are the alternatives to Scienceworld Material Classifier?

Skills that share tags, products or a category with Scienceworld Material Classifier: CSS At Property (thedaviddias/Front-End-Checklist, 74k stars), Setting Up Warehouse Properties (PostHog/posthog, 40k stars), Logical Properties (thedaviddias/Front-End-Checklist, 74k stars) and Investor Materials (affaan-m/ECC, 275k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scienceworld Material Classifier?

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.