scienceworld-object-focuser

scienceworld-object-focuser is a skill for Claude Code, Codex from zjunlp/SkillNet. It costs 84 tokens per session (526 once invoked), scanned A, original, MIT.

An interaction guide for selecting a specific object in the ScienceWorld environment before using or moving it.

In plain words
What is it for?
Use it to identify an object from the environment and focus on it before picking it up, moving it, or using it.
Why use it?
It prevents later actions from targeting the wrong object or failing because no target was selected.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-object-focuser.svg)](https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-object-focuser)
Your own site
<a href="https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-object-focuser"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-object-focuser.svg" alt="Measured on agentmods" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 526 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 $0.00084 $0.00526
Opus 5 $0.00042 $0.00263
Sonnet 5 $0.00017 $0.00105
Haiku 4.5 $0.00008 $0.00053

Measured 2d ago against content hash 3eb9fe1e8adb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

scienceworld-object-focuser 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-focuser/SKILL.md · 31 lines

What it actually says

Skill: Object Focuser

Purpose

Use this skill to formally select a target object in the ScienceWorld environment. The focus on action signals your intent to the task system and is often a prerequisite for subsequent manipulation steps like pick up or move.

When to Use

  • After you have identified an object that matches the task's criteria (e.g., "a living thing", "a conductive material").
  • Before you attempt to pick up, move, or use that object as part of the task sequence.
  • When the task trajectory or environment feedback suggests an object needs to be "focused on" to proceed.

Core Instruction

  1. Identify the Target: From your observation (look around, examine), determine the exact name of the object you intend to use for the task.
  2. Execute Focus: Use the action: focus on <OBJECT_NAME>.
    • Replace <OBJECT_NAME> with the precise noun phrase from the environment (e.g., dove egg, copper wire, beaker).
  3. Proceed: After receiving a confirmation observation, continue with the next step in your plan (e.g., pick up <OBJECT_NAME>, move <OBJECT_NAME> to ...).

Key Considerations

  • Object Naming: Use the name exactly as it appears in observations. The system is case-sensitive and expects the full descriptor (e.g., "dove egg", not just "dove" or "egg").
  • Timing: Focus is typically performed after exploration/identification and before the main manipulation action.
  • Task Logic: This action is a procedural formality within ScienceWorld. It does not change the object's state but informs the task tracker of your selected target.

Example

Task: Focus on a dove egg before picking it up for a biology task.

  1. look around — observe: "a dove egg on the table"
  2. focus on dove egg
  3. Confirmation received → proceed with pick up dove egg.
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 · 31 lines · 84 tokens per session scan A 3eb9fe1e8adb

Subscribe to this mod's changes

scienceworld-object-focuser is a skill published in the GitHub repository zjunlp/SkillNet (1,253 stars, last pushed yesterday), licensed MIT. It adds 84 tokens to every session and 526 once invoked, about $0.0004 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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