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-room-teleportergit 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-room-teleporter)<a href="https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-room-teleporter"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-room-teleporter/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-room-teleporter"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-room-teleporter.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 | $0.00271 |
| Opus 5 | $0.00031 | $0.00135 |
| Sonnet 5 | $0.00012 | $0.00054 |
| Haiku 4.5 | $0.00006 | $0.00027 |
Grade A, and why
scienceworld-room-teleporter 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 6d 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
Instructions
Use the teleport to LOC action to move the agent to the specified room.
Procedure
- Identify Target Room: Determine the exact name of the destination room from the task context or environment description.
- Execute Teleport: Use the action
teleport to <room_name>, where<room_name>is the target location (e.g.,workshop,kitchen,foundry). - Verify Success: The expected output is an observation confirming the teleport, e.g., "You teleport to the workshop."
Important Notes
- This skill is for navigation only. It does not handle object interaction or task logic within the destination room.
- Ensure the room name matches the environment's naming exactly. Common rooms include: kitchen, foundry, workshop, bathroom, outside, living room, bedroom, greenhouse, art studio, hallway.
- Use this skill proactively to reduce unnecessary exploration steps when the target location is known.
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.
- 6d ago First seen · 17 lines · 62 tokens per session scan A 65c2eb1c59bd
scienceworld-room-teleporter is a skill published in the GitHub repository zjunlp/SkillNet (1,256 stars, last pushed yesterday), licensed MIT. It adds 62 tokens to every session and 271 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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