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.
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.
npx agentmods add skills/zjunlp/skillnet/scienceworld-environment-isolationnpx skills add zjunlp/SkillNet --skill scienceworld-environment-isolationgit clone --depth 1 https://github.com/zjunlp/SkillNetWrote 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.
[](https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-environment-isolation)<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>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.
| Model | Per session | Once 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 |
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.
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:
- 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.
- Control Environmental Factors: Create a stable, contained space to manage variables like temperature, humidity, or airflow for a sensitive process.
- Prevent Contamination or Interference: Seal off a room to protect an ongoing experiment or task from external disturbances.
Core Action Sequence
- Assess the Environment: Use
look aroundto identify all doors, windows, or other openings in the current room. - Execute Isolation: For each identified opening (e.g., "door to the outside", "door to the hallway"), issue a
closecommand.- Example:
close door to outside - Example:
close door to hallway
- Example:
- Verify Closure: Perform a final
look aroundto 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
waitactions 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
opencommands if needed later.
Example
Scenario: You need to cross-pollinate two plants in the greenhouse using bees.
- You have placed both plants and a bee jar in the
greenhouse. - Run
look around— you see: "door to outside (open)", "door to hallway (open)". - Run
close door to outside— output: "You close the door to outside." - Run
close door to hallway— output: "You close the door to hallway." - Run
look around— confirm both doors now show as closed. The greenhouse is fully isolated. - Release the bee by running
open bee jar. The bee cannot escape and will pollinate both plants. - Run
waitseveral times to allow pollination to complete.
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.
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.
- 5d ago First seen · 41 lines · 62 tokens per session scan A e6b3b6aeb21b
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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