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-tool-usernpx skills add zjunlp/SkillNet --skill scienceworld-tool-usergit 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-tool-user)<a href="https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-tool-user"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-tool-user.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 | $0.00087 | $0.00461 |
| Opus 5 | $0.00044 | $0.00230 |
| Sonnet 5 | $0.00017 | $0.00092 |
| Haiku 4.5 | $0.00009 | $0.00046 |
Grade A, and why
scienceworld-tool-user 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 yesterday.
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: Tool User
Purpose
Perform a physical action on the environment using a tool from your inventory. The core action is use TOOL on TARGET.
When to Use
- A task requires modifying the environment (digging, cutting, heating).
- You need to measure a property of an object (temperature, conductivity).
- A tool-based interaction is the next step in your experiment workflow.
Core Workflow
- Ensure Tool in Inventory: The required tool (e.g.,
shovel,thermometer,axe) must be in your inventory. Usepick up OBJif it is not. - Identify Target: Determine the exact target object or location name (e.g.,
ground,tree,metal fork). - Execute:
use TOOL on TARGET. - Interpret Result: Read the observation output to determine the outcome (e.g., temperature reading, state change).
Key Actions
| Action | Purpose |
|---|---|
pick up OBJ |
Acquire tool if not in inventory |
use OBJ on OBJ |
Perform tool interaction |
look around |
Confirm target identity and location |
Example
Task: Measure the temperature of a metal fork using a thermometer.
pick up thermometer— ensure tool is in inventoryuse thermometer on metal fork- Observation: "a thermometer, currently reading a temperature of 72 degrees celsius"
Important Notes
- The tool must be in your inventory before use. The
pick upaction is a prerequisite. - Use exact object names as they appear in the environment description.
- Some tools produce measurable outputs (thermometer readings); others produce state changes (shovel digs soil). Interpret accordingly.
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.
- yesterday First seen · 39 lines · 87 tokens per session scan A b0402aa357cc
scienceworld-tool-user is a skill published in the GitHub repository zjunlp/SkillNet (1,253 stars, last pushed today), licensed MIT. It adds 87 tokens to every session and 461 once invoked, about $0.0004 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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