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-heating-apparatus-setupgit 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-heating-apparatus-setup)<a href="https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-heating-apparatus-setup"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-heating-apparatus-setup.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 5.1 | $0.00065 | $0.00654 |
| Opus 5 | $0.00032 | $0.00327 |
| Sonnet 5 | $0.00013 | $0.00131 |
| Haiku 4.5 | $0.00006 | $0.00065 |
Grade A, and why
scienceworld-heating-apparatus-setup 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 7d 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.
Instructions
Purpose
This skill automates the setup of a heating apparatus for scientific experiments involving melting, boiling, or heating a substance. It handles the positioning of a prepared container onto a heating element and the activation of the device.
Prerequisites
- Target Substance: The substance to be heated (e.g., chocolate, water) must be located and identified.
- Suitable Container: A compatible, heat-safe container (e.g., metal pot, beaker) must be available in the environment.
- Heating Device: A functional heating device (e.g., stove, oven) must be present and accessible.
- Location: The agent should be in the same room as the required items (kitchen, workshop, etc.).
Core Procedure
Follow this sequence to execute the skill. Use the bundled setup_heater.py script for reliable, error-prone steps (1-4).
-
Prepare the Substance: Ensure the target substance is placed into the chosen container.
- High Freedom Decision: Select the most appropriate container based on the substance and heating method.
- Action Pattern:
move <SUBSTANCE> to <CONTAINER>
-
Position the Container: Move the prepared container onto the heating device.
- Action Pattern:
move <CONTAINER> to <HEATING_DEVICE>
- Action Pattern:
-
Activate the Heater: Turn on the heating device to begin the thermal process.
- Action Pattern:
activate <HEATING_DEVICE>
- Action Pattern:
-
Verify Setup: Confirm the container is correctly positioned and the device is active.
- Action Pattern:
look at <HEATING_DEVICE> - Expected Observation: The device is "turned on" and the container is listed as being on it.
- Action Pattern:
Post-Setup & Monitoring
After the heating apparatus is active, proceed with the main experiment (e.g., temperature measurement). Use the bundled monitor_temperature.py script for consistent temperature checks.
- Monitor State: Regularly examine the substance (
examine <SUBSTANCE>) to observe phase changes (e.g., solid -> liquid). - Measure Temperature: Use a thermometer (
use thermometer on <SUBSTANCE>) to track thermal progress.
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.
- 7d ago First seen · 43 lines · 65 tokens per session scan A 992487ebf777
scienceworld-heating-apparatus-setup is a skill published in the GitHub repository zjunlp/SkillNet (1,254 stars, last pushed 3d ago), licensed MIT. It adds 65 tokens to every session and 654 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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