scienceworld-container-transfer

scienceworld-container-transfer is a skill for Claude Code, Codex from zjunlp/SkillNet. It costs 62 tokens per session (408 once invoked), scanned A, original, MIT.

A skill for moving a substance or object from one container into another container.

In plain words
What is it for?
Preparing materials for heating, mixing, or measuring—for example, moving lead from a tin cup into a heat-resistant metal pot.
Why use it?
It provides a defined sequence for finding the items, performing the transfer, and checking that it worked.

Skill for Claude CodeCodex

About the project

SkillNet is infrastructure for finding, creating, evaluating, combining, and coordinating reusable capabilities for AI agents. Agent developers use it as a searchable and installable library of skills and as a system for selecting skills for particular tasks. The catalogue contains skills that can be discovered, installed, or used with SkillNet.

zjunlp/SkillNet · 1,253 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/zjunlp/skillnet/scienceworld-container-transfer
Any agent
npx skills add zjunlp/SkillNet --skill scienceworld-container-transfer
Clone the repo
git clone --depth 1 https://github.com/zjunlp/SkillNet

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for scienceworld-container-transfer

README.md
[![agentmods](https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-container-transfer.svg)](https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-container-transfer)
Your own site
<a href="https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-container-transfer"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-container-transfer.svg" alt="Measured on agentmods" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 408 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00062 $0.00408
Opus 5 $0.00031 $0.00204
Sonnet 5 $0.00012 $0.00082
Haiku 4.5 $0.00006 $0.00041

Measured 5d ago against content hash 2b169369ab9c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

scienceworld-container-transfer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

experiments/src/skills/scienceworld/scienceworld-container-transfer/SKILL.md · 34 lines

What it actually says

Skill: Container Transfer

Purpose

Transfer a target substance or object from a source container to a destination container. This is a foundational step for preparing materials for heating, mixing, or measurement.

Core Workflow

  1. Assess Need: Determine if the current container is unsuitable for the next operation (e.g., tin cup is not heat-resistant for a furnace).
  2. Locate Items: Use look around and look at OBJ to find the target substance and a suitable destination container.
  3. Execute Transfer: move <SUBSTANCE> to <DESTINATION>.
  4. Verify: look at <DESTINATION> to confirm the substance is now inside.

Key Actions

Action Purpose
look around Survey room for containers and substances
look at OBJ Inspect container contents
move OBJ to OBJ Transfer substance to destination

Example

Task: Transfer lead from a tin cup to a heat-resistant metal pot for furnace heating.

  1. look around — spot tin cup (containing lead) and metal pot
  2. move lead to metal pot
  3. look at metal pot — confirms: "a metal pot (containing a substance called lead)"

Important Notes

  • All containers are pre-opened. Do not use open or close actions.
  • Choose the destination container based on properties needed for the next step (e.g., heat resistance for furnace use).
  • If the transfer fails ("You can't do that"), verify object names with look around and ensure the destination is accessible.
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 34 lines · 62 tokens per session scan A 2b169369ab9c

Subscribe to this mod's changes

scienceworld-container-transfer is a skill published in the GitHub repository zjunlp/SkillNet (1,253 stars, last pushed yesterday), licensed MIT. It adds 62 tokens to every session and 408 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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