scienceworld-object-retriever

scienceworld-object-retriever is a skill for Claude Code, Codex from zjunlp/SkillNet. It costs 70 tokens per session (396 once invoked), scanned A, original, MIT.

An object-retrieval procedure that picks up a visible item and places it in the agent's inventory.

In plain words
What is it for?
Use it to find an item in a room, collect it, and confirm that it is in inventory.
Why use it?
It makes an object available for testing, measuring, moving, or other later actions.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-object-retriever.svg)](https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-object-retriever)
Your own site
<a href="https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-object-retriever"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-object-retriever.svg" alt="Measured on agentmods" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 396 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 $0.00070 $0.00396
Opus 5 $0.00035 $0.00198
Sonnet 5 $0.00014 $0.00079
Haiku 4.5 $0.00007 $0.00040

Measured 2d ago against content hash ba38171ce15a, 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-retriever 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-retriever/SKILL.md · 34 lines

What it actually says

Skill: Object Retriever

Purpose

Acquire a target object from the environment and place it into your inventory for further use.

When to Use

  • You need an object for testing, measuring, or transporting.
  • The object is visible in the room but not yet in your inventory.
  • A downstream skill (e.g., tool-user, object-placer) requires the object in inventory.

Core Workflow

  1. Navigate: teleport to LOC if needed to reach the room containing the object.
  2. Survey: look around to confirm the object is present and identify its exact name.
  3. Acquire: pick up OBJ using the exact name from the environment description.
  4. Verify: Check the observation feedback confirms "You move the [object] to the inventory."

Example

Task: Retrieve a metal fork from the kitchen for conductivity testing.

  1. teleport to kitchen
  2. look around — see "a metal fork" on the counter
  3. pick up metal fork
  4. Observation: "You move the metal fork to the inventory."

Important Notes

  • Ensure you are in the correct room before attempting pick up. Use teleport to LOC if necessary.
  • If look around does not reveal the object, use examine on containers or furniture (e.g., examine table).
  • If a container is closed, use open OBJ first.
  • After acquisition, the object is ready for the next skill in the task sequence.
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 · 34 lines · 70 tokens per session scan A ba38171ce15a

Subscribe to this mod's changes

scienceworld-object-retriever is a skill published in the GitHub repository zjunlp/SkillNet (1,253 stars, last pushed yesterday), licensed MIT. It adds 70 tokens to every session and 396 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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