scienceworld-environment-isolation

scienceworld-environment-isolation is a skill for Claude Code, Codex from zjunlp/SkillNet. It costs 62 tokens per session (644 once invoked), scanned A, original, MIT.

A procedure for closing doors and other openings so a room becomes a contained environment.

In plain words
What is it for?
Use it in the ScienceWorld environment to inspect a room, close every relevant opening, and confirm that the space is isolated.
Why use it?
It reduces outside interference when pollination or an experiment depends on controlled temperature, humidity, airflow, or separation.

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

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-environment-isolation
Any agent
npx skills add zjunlp/SkillNet --skill scienceworld-environment-isolation
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-environment-isolation

README.md
[![agentmods](https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-environment-isolation.svg)](https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-environment-isolation)
Your own site
<a href="https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-environment-isolation"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-environment-isolation.svg" alt="Measured on agentmods" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 644 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 $0.00062 $0.00644
Opus 5 $0.00031 $0.00322
Sonnet 5 $0.00012 $0.00129
Haiku 4.5 $0.00006 $0.00064

Measured 5d ago against content hash e6b3b6aeb21b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

scienceworld-environment-isolation 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 5d 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-environment-isolation/SKILL.md · 41 lines

How it starts

The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Instructions

When to Use

Trigger this skill when you need to:

  1. Optimize Pollination: Isolate a room (like a greenhouse) to concentrate pollinators (e.g., bees) and prevent them from leaving, thereby increasing the chance of successful cross-pollination between plants.
  2. Control Environmental Factors: Create a stable, contained space to manage variables like temperature, humidity, or airflow for a sensitive process.
  3. Prevent Contamination or Interference: Seal off a room to protect an ongoing experiment or task from external disturbances.

Core Action Sequence

  1. Assess the Environment: Use look around to identify all doors, windows, or other openings in the current room.
  2. Execute Isolation: For each identified opening (e.g., "door to the outside", "door to the hallway"), issue a close command.
    • Example: close door to outside
    • Example: close door to hallway
  3. Verify Closure: Perform a final look around to confirm all intended openings are now closed and the room is successfully isolated.

Key Principles

  • Completeness: Ensure all exits are closed for full isolation. An open door can defeat the purpose.
  • Context-Specific: The specific doors to close depend entirely on the room's layout. Always verify via look around.
  • Post-Isolation: After isolation, monitor the contained process (e.g., plant growth) and use wait actions as needed to allow time for the optimized conditions to take effect.

Notes

  • This skill modifies the connectivity of a space, not its internal state (like temperature controls).
  • The primary observed benefit in the trajectory was enhancing bee-mediated pollination by preventing bee escape.
  • Reversal (re-opening doors) is not part of this skill's core function but can be done using standard open commands if needed later.

Example

Scenario: You need to cross-pollinate two plants in the greenhouse using bees.

  1. You have placed both plants and a bee jar in the greenhouse.
  2. Run look around — you see: "door to outside (open)", "door to hallway (open)".
  3. Run close door to outside — output: "You close the door to outside."
  4. Run close door to hallway — output: "You close the door to hallway."
  5. Run look around — confirm both doors now show as closed. The greenhouse is fully isolated.
  6. Release the bee by running open bee jar. The bee cannot escape and will pollinate both plants.
  7. Run wait several times to allow pollination to complete.

Read the full file on GitHub · 41 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. 5d ago First seen · 41 lines · 62 tokens per session scan A e6b3b6aeb21b

Subscribe to this mod's changes

scienceworld-environment-isolation is a skill published in the GitHub repository zjunlp/SkillNet (1,253 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 644 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 2026-08-30.

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