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-device-activatornpx skills add zjunlp/SkillNet --skill scienceworld-device-activatorgit 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-device-activator)<a href="https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-device-activator"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-device-activator.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 | $0.00070 | $0.00460 |
| Opus 5 | $0.00035 | $0.00230 |
| Sonnet 5 | $0.00014 | $0.00092 |
| Haiku 4.5 | $0.00007 | $0.00046 |
Grade A, and why
scienceworld-device-activator 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.
What it actually says
Skill: Device Activator
Purpose
Activate a device (turn it on, start it, fire it up) to begin its operation — typically heating, processing, or powering a task step.
Core Workflow
- Verify Contents:
look at <DEVICE_NAME>to confirm materials are placed inside. - Check State: Observation should show "which is turned off" or "which is deactivated."
- Activate:
activate <DEVICE_NAME> - Verify Activation:
look at <DEVICE_NAME>— confirm it now reads "turned on" or "activated." - Monitor (if needed): Use measurement tools (e.g.,
use thermometer on <MATERIAL>) to track progress. - Deactivate When Done:
deactivate <DEVICE_NAME>
Key Actions
| Action | Purpose |
|---|---|
look at <DEVICE> |
Verify contents and device state |
activate <DEVICE> |
Turn on / start the device |
deactivate <DEVICE> |
Turn off the device when done |
use TOOL on OBJ |
Monitor material state during processing |
Example
Task: Melt lead in a blast furnace.
look at blast furnace— confirms: metal pot with lead inside, furnace is turned offactivate blast furnacelook at blast furnace— confirms: "which is turned on"use thermometer on lead— monitor temperaturelook at blast furnace— observe: "a substance called liquid lead" (melting complete)deactivate blast furnace
Important Notes
- Most devices are pre-opened. Do not use
openorcloseunless the observation indicates a closed door. - Always verify activation succeeded before proceeding to the next task step.
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 · 39 lines · 70 tokens per session scan A 302fa3066130
scienceworld-device-activator is a skill published in the GitHub repository zjunlp/SkillNet (1,253 stars, last pushed today), licensed MIT. It adds 70 tokens to every session and 460 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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