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 skills add zjunlp/SkillNet --skill scienceworld-substance-preparatorgit 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-substance-preparator)<a href="https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-substance-preparator"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-substance-preparator/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.
<a href="https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-substance-preparator"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-substance-preparator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00062 | $0.00636 |
| Opus 5 | $0.00031 | $0.00318 |
| Sonnet 5 | $0.00012 | $0.00127 |
| Haiku 4.5 | $0.00006 | $0.00064 |
Grade A, and why
scienceworld-substance-preparator 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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Substance Preparation Skill
Purpose
Prepare a target substance for subsequent processing (e.g., heating, mixing) by transferring it from its current location into an appropriate, empty container.
When to Use
- Trigger: After successfully locating and focusing on the target substance.
- Prerequisite: The substance must be accessible (e.g., in inventory, in an open container).
- Next Step: This skill should be completed before setting up any apparatus (e.g., activating a stove, connecting electrical components).
Core Procedure
- Identify Target Substance: Confirm the exact name and location of the substance to be prepared.
- Scan Environment for Containers: Look for empty, process-appropriate containers in the current room. Priority order:
- Primary: Metal pots, beakers, or bowls (for heating/mixing).
- Secondary: Ceramic/glass cups, jars (if primary not available).
- Avoid: Containers already holding items or substances.
- Select & Validate Container: Choose the most suitable empty container. If uncertain,
examineit to confirm it's empty. - Execute Transfer: Use the
move [SUBSTANCE] to [CONTAINER]action. - Verify: Briefly check the container's contents to confirm the transfer was successful.
Key Considerations
- Container State: All containers are pre-opened. Do not use
openorcloseactions. - Efficiency: Prefer containers in the same room to minimize
teleportuse. - Substance Integrity: If the substance is temperature-sensitive (e.g., chocolate in a fridge), moving it to a room-temperature container is part of preparation.
- Error Handling: If the transfer fails (e.g., container not found),
look aroundagain and consult the bundled reference for common container names.
Example
Scenario: You need to melt chocolate as part of a heating task.
- You have already located
chocolatein thefridgein the kitchen. - Run
look aroundto scan for containers. You see:metal pot(empty, on counter),glass beaker(empty, on shelf),ceramic cup(contains water). - Select
metal potas the best option (metal, empty, suitable for heating). - Run
examine metal potto confirm it is empty. - Run
move chocolate to metal pot. - Run
examine metal pot— output confirms: "metal pot (containing chocolate)".
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 · 43 lines · 62 tokens per session scan A c45282898a4d
scienceworld-substance-preparator is a skill published in the GitHub repository zjunlp/SkillNet (1,255 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 636 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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