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-animal-identifiergit 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-animal-identifier)<a href="https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-animal-identifier"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-animal-identifier/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-animal-identifier"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-animal-identifier.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 | $0.00083 | $0.00629 |
| Opus 5 | $0.00042 | $0.00315 |
| Sonnet 5 | $0.00017 | $0.00126 |
| Haiku 4.5 | $0.00008 | $0.00063 |
Grade A, and why
scienceworld-animal-identifier 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 9d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: scienceworld-animal-identifier
Purpose
Locate and focus on a specified animal or biological entity within the ScienceWorld environment for tasks involving animal comparison, examination, or interaction (e.g., determining lifespan extremes, identifying species).
When to Use
- When a task requires finding and focusing on a specific animal or biological entity
- When comparing attributes (lifespan, size, type) across multiple animals
- When the task instructs examining or interacting with an animal in a specific location
Workflow
- Navigate to the target location -- If the animal is in a specific room (e.g., "outside", "greenhouse"), execute
teleport to <LOCATION>. - Survey the area -- Use
look aroundto list all visible objects and entities. - Identify the target -- Parse the observation to find the exact animal name as displayed (e.g.,
baby dragonfly,parrot egg,adult blue jay). - Execute focus -- Run
focus on <ANIMAL>using the exact name from the observation. - Confirm success -- Wait for the system response:
"You focus on the <ANIMAL>.".
Examples
Example 1: Find the animal with the longest lifespan
Task: "Find the animal with the longest life span and focus on it."
> teleport to outside
You teleport to outside.
> look around
You see: baby dragonfly, adult blue jay, parrot egg, oak tree, grass.
> focus on adult blue jay
You focus on the adult blue jay.
(Blue jays have a longer lifespan than dragonflies among the visible animals.)
Example 2: Sequential identification of two animals
Task: "First focus on the longest-lived animal, then the shortest-lived."
> teleport to outside
You teleport to outside.
> look around
You see: baby dragonfly, adult blue jay, parrot egg.
> focus on adult blue jay
You focus on the adult blue jay.
> focus on baby dragonfly
You focus on the baby dragonfly.
Key Principles
- Exact names -- The
focus onaction requires the precise object name as it appears inlook around(e.g.,"baby dragonfly", not just"dragonfly"). - Navigate first -- Always verify your location and
teleport tothe correct room before surveying. - Sequential execution -- When focusing on multiple animals in sequence, complete each
focus onaction before proceeding to the next.
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.
- 9d ago First seen · 67 lines · 83 tokens per session scan A c427b4f71c55
scienceworld-animal-identifier is a skill published in the GitHub repository zjunlp/SkillNet (1,255 stars, last pushed yesterday), licensed MIT. It adds 83 tokens to every session and 629 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 2026-08-30.
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