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Agent skill

Scienceworld Tool Validator

by zjunlp in zjunlp/SkillNet

A skill your agent uses when the agent has acquired a tool or instrument and needs to verify it is operational before first use in a critical task step.

MITAuto-check passed

Install Scienceworld Tool Validator

skills CLI
$ npx skills add zjunlp/SkillNet --skill scienceworld-tool-validator -a claude-code

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

GitHub CLI
$ gh skill install zjunlp/SkillNet scienceworld-tool-validator --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-tool-validator .claude/skills/scienceworld-tool-validator && 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-tool-validator
GitHub stars
1.4k
Token cost
~628 tokens
SKILL.md length
239 words
Files
2 (incl. references)
Skills in repo
122
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the agent has acquired a tool or instrument and needs to verify it is operational before first use in a critical task step.

  • Works in 4 steps: Acquire the tool -- Ensure the target… → Execute validation -- Run: focus on… → Confirm readiness -- A successful… → …
  • The agent has acquired a tool
  • SKILL.md covers Purpose, When to Use, Workflow and Examples, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Scienceworld Tool Validator is an agent skill from zjunlp/SkillNet. Use when the agent has acquired a tool or instrument and needs to verify it is operational before first use in a critical task step. This skill performs a lightweight pre-use check via "focus on [TOOL] in inventory" and confirms readiness based on the system's response, ensuring the tool is functional before measurement, activation, or connection operations.

Its SKILL.md is about 630 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

  • The agent has acquired a tool
  • Instrument and needs to verify it is operational before first use in a critical task step

Example prompts

  • “focus on [TOOL] in inventory”
  • “/scienceworld-tool-validator”

Workflow steps

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

  1. Acquire the tool -- Ensure the target tool is in inventory. If not, locate it with look around and retrieve it with pick up [TOOL].
  2. Execute validation -- Run: focus on [TOOL] in inventory.
  3. Confirm readiness -- A successful response ("You focus on the [TOOL].") confirms the tool is operational. No further diagnostic steps are…
  4. Proceed -- Use the validated tool in the task operation (e.g., use thermometer on [TARGET]).

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 Tool Validator loads about 628 tokens when it runs, and up to ~833 if it reads all its reference files. Until then it costs about 97 tokens; SKILL.md has 239 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~97
When it runs · the whole SKILL.md, loaded when a task matches
~628
With references · SKILL.md plus every file in references/, read only if the agent opens them
~833

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). 239 words, ~628 tokens.

Download SKILL.mdSave it as .claude/skills/scienceworld-tool-validator/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
scienceworld-tool-validator
description
Use when the agent has acquired a tool or instrument and needs to verify it is operational before first use in a critical task step. This skill performs a lightweight pre-use check via "focus on [TOOL] in inventory" and confirms readiness based on the system's response, ensuring the tool is functional before measurement, activation, or connection operations.

Skill: scienceworld-tool-validator

Purpose

Perform a pre-use functionality check on a tool or instrument to confirm it is operational before employing it in a critical ScienceWorld task step such as measurement, activation, or connection.

When to Use

  • Immediately after acquiring a tool (e.g., pick up thermometer) and before its first use
  • When switching to a different tool mid-task and needing to confirm readiness
  • When resuming a task after navigation and needing to re-confirm tool availability

Workflow

  1. Acquire the tool -- Ensure the target tool is in inventory. If not, locate it with look around and retrieve it with pick up [TOOL].
  2. Execute validation -- Run: focus on [TOOL] in inventory.
  3. Confirm readiness -- A successful response ("You focus on the [TOOL].") confirms the tool is operational. No further diagnostic steps are needed unless an error is observed.
  4. Proceed -- Use the validated tool in the task operation (e.g., use thermometer on [TARGET]).

Examples

Example 1: Validating a thermometer before measurement
> pick up thermometer
You pick up the thermometer.

> focus on thermometer in inventory
You focus on the thermometer.

The thermometer is validated. Proceed with measurement:

> use thermometer on unknown substance B
The thermometer measures a temperature of 42 degrees celsius.
Example 2: Validating a scale after teleporting to a new room
> teleport to workshop
You teleport to the workshop.

> pick up scale
You pick up the scale.

> focus on scale in inventory
You focus on the scale.

The scale is validated and ready to weigh objects.

Key Principles

  • Timing -- Validate immediately after acquisition, before any task-sensitive operation.
  • Simplicity -- The focus on action is the primary, lightweight validation method. Avoid unnecessary examine or use actions during the check.
  • State awareness -- Ensure containers are open and items are accessible before attempting to pick up tools. Use teleport to for efficient navigation.

© 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-tool-validator of zjunlp/SkillNet.

  • SKILL.md
  • references/action_primer.md

Open the folder on GitHubat commit 3fcebf8

Compare with similar skills

Scienceworld Tool Validator 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 Tool Validator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scienceworld Tool Validator this skillzjunlp/SkillNet1.4k—~628Automated safety check: PassMIT
Form Validationthedaviddias/Front-End-Checklist74k—~633Automated safety check: PassMIT
Validateagenticnotetaking/arscontexta3.5k—~3kAutomated safety check: PassMIT
Zod Validation Expertdavila7/claude-code-templates32k3 repos~2.4kAutomated safety check: PassMIT
Agent Production Validatorruvnet/ruflo74k2 repos~3kAutomated safety check: PassMIT
Validate Pluginruvnet/ruflo74k—~511Automated safety check: NotesMIT

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Questions about Scienceworld Tool Validator

What does Scienceworld Tool Validator do?

A skill your agent uses when the agent has acquired a tool or instrument and needs to verify it is operational before first use in a critical task step. Scienceworld Tool Validator is an agent skill from zjunlp/SkillNet. Use when the agent has acquired a tool or instrument and needs to verify it is operational before first use in a critical task step.

When should I use Scienceworld Tool Validator?

Scienceworld Tool Validator fits situations like: the agent has acquired a tool; instrument and needs to verify it is operational before first use in a critical task step.

How do I install Scienceworld Tool Validator in Claude Code?

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

How do I install Scienceworld Tool Validator in Codex?

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

Can I use Scienceworld Tool Validator 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-tool-validator -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-tool-validator, .gemini/skills/scienceworld-tool-validator, .github/skills/scienceworld-tool-validator and .opencode/skills/scienceworld-tool-validator in your project.

What does Scienceworld Tool Validator need to run?

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

Does Scienceworld Tool Validator 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 Tool Validator 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 Tool Validator use?

Scienceworld Tool Validator 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 Tool Validator use?

About 628 tokens (SKILL.md is roughly 2.5k 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 205 tokens, read only when the agent opens those files.

What are the alternatives to Scienceworld Tool Validator?

Skills that share tags, products or a category with Scienceworld Tool Validator: Form Validation (thedaviddias/Front-End-Checklist, 74k stars), Validate (agenticnotetaking/arscontexta, 3.5k stars), Zod Validation Expert (davila7/claude-code-templates, 32k stars) and Agent Production Validator (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scienceworld Tool Validator?

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.