scienceworld-object-classifier

scienceworld-object-classifier is a skill for Claude Code, Codex from zjunlp/SkillNet. It costs 66 tokens per session (478 once invoked), scanned A, original, MIT.

An interaction guide for moving an examined object into the container assigned to its classification.

In plain words
What is it for?
Use it to move an object to a designated box or container after determining its property.
Why use it?
It turns a completed inspection or material test into the final sorting action and includes a verification step.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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 · skillnet.openkg.cn

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-object-classifier
Any agent
npx skills add zjunlp/SkillNet --skill scienceworld-object-classifier
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-object-classifier

README.md
[![agentmods](https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-object-classifier.svg)](https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-object-classifier)
Your own site
<a href="https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-object-classifier"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-object-classifier.svg" alt="Measured on agentmods" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 478 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 5.1 $0.00066 $0.00478
Opus 5 $0.00033 $0.00239
Sonnet 5 $0.00013 $0.00096
Haiku 4.5 $0.00007 $0.00048

Measured 2d ago against content hash 638e7682993d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

scienceworld-object-classifier 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 2d 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-object-classifier/SKILL.md · 35 lines

What it actually says

Instructions

Purpose

This skill is used to finalize a classification task by moving an object into its designated container. It is triggered after a property test or inspection has been completed and a decision has been made.

Prerequisites

  1. Object Location: The object to be classified must be present in the current room's environment (e.g., on the floor, on a table).
  2. Container Location: The target container (e.g., yellow box, purple box) must be present in the current room's environment.
  3. Decision Made: You must have already determined the object's property (e.g., electrically conductive vs. non-conductive) and know which container corresponds to that property.

Core Action

Execute the move command to transfer the object into the correct container.

  • Command Format: move <OBJECT> to <CONTAINER>
  • Example: move metal pot to yellow box

Workflow

  1. Confirm Environment: Use look around to verify the object and target container are present.
  2. Execute Move: Perform the move action.
  3. Verify: Optionally, look at <CONTAINER> to confirm the object is now inside.

Important Notes

  • This skill is for the final sorting action only. Do not use it to perform the initial test or inspection.
  • Ensure the object is not in your inventory. If it is, drop it first (drop <OBJECT>).
  • The skill assumes the classification logic (e.g., interpreting a circuit test) has already been handled by a prior process.

Example

Task: Sort a metal pot after a conductivity test determined it is conductive.

  1. look around — confirm metal pot and yellow box are in the room.
  2. move metal pot to yellow box
  3. look at yellow box — verify: "containing a metal pot".
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. 2d ago First seen · 35 lines · 66 tokens per session scan A 638e7682993d

Subscribe to this mod's changes

scienceworld-object-classifier is a skill published in the GitHub repository zjunlp/SkillNet (1,253 stars, last pushed yesterday), licensed MIT. It adds 66 tokens to every session and 478 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 2026-09-03.

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