scienceworld-room-scanner

scienceworld-room-scanner is a skill for Claude Code, Codex from zjunlp/SkillNet. It costs 74 tokens per session (575 once invoked), scanned A, original, MIT.

A room-scanning skill that uses “look around” to list visible objects, containers, devices, their states, and available doors in ScienceWorld.

In plain words
What is it for?
It helps locate items, inspect containers and device states, and reassess the environment after an interaction.
Why use it?
It gives the agent an updated view of the current room before it chooses what to do next.

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-room-scanner
Any agent
npx skills add zjunlp/SkillNet --skill scienceworld-room-scanner
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-room-scanner

README.md
[![agentmods](https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-room-scanner.svg)](https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-room-scanner)
Your own site
<a href="https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-room-scanner"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-room-scanner.svg" alt="Measured on agentmods" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 575 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 $0.00074 $0.00575
Opus 5 $0.00037 $0.00287
Sonnet 5 $0.00015 $0.00115
Haiku 4.5 $0.00007 $0.00057

Measured 3d ago against content hash a198b55884c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

scienceworld-room-scanner 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-room-scanner/SKILL.md · 40 lines

How it starts

The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Room Scanner

Purpose

Execute a look around action to obtain a comprehensive description of the current room in the ScienceWorld environment. This description is the foundational step for any task requiring item location, environmental assessment, or navigation planning.

Core Instruction

When this skill is invoked, the agent must perform the look around action.

Trigger Conditions

Invoke this skill when:

  1. You first enter a new room via teleport or other movement.
  2. You need to locate a specific object or container mentioned in your task.
  3. The state of the room may have changed (e.g., after an interaction).
  4. You are formulating a plan and require an inventory of available resources.

Output Processing

The observation from look around will contain:

  • Room Name: The identifier of your current location.
  • Visible Objects & Agents: A list of all entities in the room.
  • Container Contents: For open containers, a nested list of items inside (e.g., a bowl (containing a red apple, a banana)).
  • Device States: The status of interactive objects (e.g., a stove, which is turned off).
  • Connections: All accessible doors and their destination rooms.

You must parse this output carefully. Use it to update your mental model of the environment before proceeding with other actions like pick up, examine, or use.

Integration Notes

  • This is a low-level, atomic skill. It should often be the first action in a sequence.
  • The observation it generates is critical context for subsequent decision-making. Refer back to it.
  • Do not overuse it. Once you have a recent description of a room, rely on that knowledge until you have reason to believe the state has changed.

Example

Task: Survey the workshop after teleporting there.

  1. look around
  2. Observation: "This room is called the workshop. In it, you see: a table. On the table is: a battery, a blue light bulb, an orange wire, a yellow wire, a green wire. You also see: a blue box, an orange box. There is a door to the hallway."
  3. Parse: available components include battery, light bulb, three wires; classification containers are blue box and orange box.

Read the full file on GitHub · 40 lines

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. 3d ago First seen · 40 lines · 74 tokens per session scan A a198b55884c1

Subscribe to this mod's changes

scienceworld-room-scanner is a skill published in the GitHub repository zjunlp/SkillNet (1,254 stars, last pushed 2d ago), licensed MIT. It adds 74 tokens to every session and 575 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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