alfworld-receptacle-finder

alfworld-receptacle-finder is a skill for Claude Code, Codex from zjunlp/SkillNet. It costs 76 tokens per session (637 once invoked), scanned A, original, MIT.

A procedure for finding a suitable shelf, table, basin, or other container for an object that needs to be placed.

In plain words
What is it for?
It helps inspect candidate containers, prefer empty or compatible ones, and place the held object in or on the selected location.
Why use it?
It removes the guesswork when the object has no specified destination or the obvious location may not be usable.

Skill for Claude CodeCodex

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

Good fit It helps inspect candidate containers, prefer empty or compatible ones, and place the held object in or on the selected location.

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Install with agentmods
npx agentmods add skills/zjunlp/skillnet/alfworld-receptacle-finder
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 · 1,256 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.

Any agent
npx skills add zjunlp/SkillNet --skill alfworld-receptacle-finder
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 alfworld-receptacle-finder

README.md
[![agentmods](https://agentmods.dev/badge/skills/zjunlp/skillnet/alfworld-receptacle-finder/github.svg)](https://agentmods.dev/skills/zjunlp/skillnet/alfworld-receptacle-finder)
Your own site
<a href="https://agentmods.dev/skills/zjunlp/skillnet/alfworld-receptacle-finder"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/alfworld-receptacle-finder/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for alfworld-receptacle-finder

Your own site · 80×15
<a href="https://agentmods.dev/skills/zjunlp/skillnet/alfworld-receptacle-finder"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/alfworld-receptacle-finder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 637 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00076 $0.00637
Opus 5 $0.00038 $0.00318
Sonnet 5 $0.00015 $0.00127
Haiku 4.5 $0.00008 $0.00064

Measured 13d ago against content hash 6538e849ec61, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

alfworld-receptacle-finder 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 13d 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/alfworld/alfworld-receptacle-finder/SKILL.md · 42 lines

How it starts

The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Instructions

Trigger: Use this skill when you have an object in your inventory that needs to be stored or placed, and you must find a suitable receptacle (e.g., shelf, table, basin).

Core Procedure

  1. Identify Target Object: Confirm the object you are holding and its state (e.g., soapbar 1, clean).
  2. Survey Environment: Use go to {recep} actions to navigate to and visually inspect candidate receptacles from the observation list.
  3. Evaluate Candidates: For each receptacle, assess its suitability:
    • Primary Goal: Find an empty receptacle.
    • Fallback: If no empty receptacle is available, identify one that can logically accommodate the object without conflict (e.g., a shelf with a tissuebox may still have space for a soapbar).
  4. Select & Place: Navigate to the chosen suitable receptacle and execute put {obj} in/on {recep}.

Key Considerations

  • Object State: Ensure the object meets any required pre-conditions (e.g., clean) before searching for a receptacle. Use skills like clean if necessary.
  • Efficiency: Prioritize receptacles that are logically appropriate for the object (e.g., a shelf for a soapbar over a toilet).
  • Observation Parsing: Carefully read the observation after each go to action. The line "On the {recep}, you see..." lists its contents. "you see nothing." indicates it is empty.
  • Invalid Actions: If an action fails ("Nothing happened"), re-evaluate your target and try a different receptacle or confirm the object is in your inventory.

Example

Scenario: You are holding soapbar 1 (clean) and need to find an empty shelf to place it.

Thought: I need to find an empty shelf for the soapbar. I'll check shelf 1 first.
Action: go to shelf 1
Observation: On the shelf 1, you see a tissuebox 1.
Thought: Shelf 1 has items. Let me try shelf 2.
Action: go to shelf 2
Observation: On the shelf 2, you see nothing.
Action: put soapbar 1 in/on shelf 2
Observation: You put the soapbar 1 in/on the shelf 2.

Read the full file on GitHub · 42 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. 13d ago First seen · 42 lines · 76 tokens per session scan A 6538e849ec61

Subscribe to this mod's changes

alfworld-receptacle-finder is a skill published in the GitHub repository zjunlp/SkillNet (1,256 stars, last pushed 2d ago), licensed MIT. It adds 76 tokens to every session and 637 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 2026-08-30.

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