scienceworld-task-focuser

scienceworld-task-focuser is a skill for Claude Code, Codex from zjunlp/SkillNet. It costs 67 tokens per session (584 once invoked), scanned A, original, MIT.

A preparation skill that tells ScienceWorld which object the agent intends to use, measure, connect, mix, or combine.

In plain words
What is it for?
It helps select objects in the room or inventory before measurement, connection, mixing, or other interactions.
Why use it?
It prevents later actions from targeting the wrong object and can unlock actions that require an explicit focus 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 · 1,254 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-task-focuser
Any agent
npx skills add zjunlp/SkillNet --skill scienceworld-task-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-task-focuser

README.md
[![agentmods](https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-task-focuser.svg)](https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-task-focuser)
Your own site
<a href="https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-task-focuser"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-task-focuser.svg" alt="Measured on agentmods" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 584 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 $0.00067 $0.00584
Opus 5 $0.00034 $0.00292
Sonnet 5 $0.00013 $0.00117
Haiku 4.5 $0.00007 $0.00058

Measured 3d ago against content hash da0965b30326, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

scienceworld-task-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 3d 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-task-focuser/SKILL.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: scienceworld-task-focuser

Purpose

Formally declare intent to interact with a specific object in the ScienceWorld environment. The focus on action is a required preparatory step that signals to the system which object subsequent actions (use, measure, connect) will target, often unlocking necessary state changes or measurement capabilities.

When to Use

  • Before using a measurement tool (e.g., thermometer) on a target object
  • Before complex operations such as connecting, mixing, or combining objects
  • When a task description explicitly instructs "focus on" an object
  • To confirm the correct item is in inventory before proceeding with an action

Workflow

  1. Identify the target object -- Determine the exact name as it appears in the environment (e.g., thermometer, metal fork).
  2. Locate the object -- Use look around or inventory to confirm the object's location (environment or inventory).
  3. Execute the focus action -- Issue the appropriate command:
    • Object in the environment: focus on <OBJECT_NAME>
    • Object in inventory: focus on <OBJECT_NAME> in inventory
  4. Verify confirmation -- Wait for the system response: "You focus on the <OBJECT_NAME>." before proceeding to the next step.

Examples

Example 1: Preparing to measure temperature of a metal fork

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

> focus on metal fork in inventory
You focus on the metal fork.

> use thermometer on metal fork
The thermometer measures a temperature of 23 degrees celsius.

Example 2: Focusing on an environmental object before moving it

> look around
You see: a table, a blue box, a red box, a metal fork (on table).

> focus on metal fork
You focus on the metal fork.

> move metal fork to blue box
You move the metal fork to the blue box.

Important Notes

  • This skill does not perform the main action (e.g., measuring). It only prepares for it.
  • The focus action has no physical effect on the object; it is a declarative meta-action.
  • Always wait for the confirmation observation before attempting the next step.
  • If the object is not found, use look around, examine, or teleport to to locate it before attempting to focus.

Read the full file on GitHub · 61 lines

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. 3d ago First seen · 61 lines · 67 tokens per session scan A da0965b30326

Subscribe to this mod's changes

scienceworld-task-focuser is a skill published in the GitHub repository zjunlp/SkillNet (1,254 stars, last pushed 2d ago), licensed MIT. It adds 67 tokens to every session and 584 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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