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-living-entity-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-living-entity-identifier)<a href="https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-living-entity-identifier"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-living-entity-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-living-entity-identifier"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-living-entity-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 | $0.00085 | $0.00507 |
| Opus 5 | $0.00043 | $0.00253 |
| Sonnet 5 | $0.00017 | $0.00101 |
| Haiku 4.5 | $0.00009 | $0.00051 |
Grade A, and why
scienceworld-living-entity-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 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: Living Entity Identifier
Purpose
Identify living things (eggs, plants, animals) from room observations and focus on them for task progression.
Core Workflow
- Survey Room:
look aroundto get the observation text listing all objects. - Identify Candidates: Scan the object list for living entity indicators:
- Animals: dove, giant tortoise, bee, frog, fish
- Eggs: dove egg, chicken egg, turtle egg
- Plants: flower, tree, moss, fern, algae
- Other biological: mushroom, seed, pollen
- Focus on Target:
focus on [IDENTIFIED_OBJECT]to signal task progress. - Transport (if needed):
pick up [OBJECT]thenmove [OBJECT] to [CONTAINER].
Key Actions
| Action | Purpose |
|---|---|
look around |
Survey room for objects |
teleport to LOC |
Move to rooms with biological likelihood |
focus on OBJ |
Signal identification to task system |
pick up OBJ |
Acquire entity for transport |
Example
Task: "Find a living thing in the environment."
teleport to outsidelook around— observation lists: "a dove egg", "a rock", "soil"- Identify "dove egg" as the living entity candidate
focus on dove egg- If transport required:
pick up dove eggthenmove dove egg to blue box
Important Notes
- Prioritize explicit living things (e.g., "dove egg," "giant tortoise") over ambiguous substances (e.g., "air," "water").
- If the current room lacks candidates,
teleport torooms with higher biological likelihood:outside,greenhouse,bedroom. - Always use
focus onimmediately after identification — it signals task progress.
What ships with it
2 files 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 · 41 lines · 85 tokens per session scan A 38f6e2061847
scienceworld-living-entity-identifier is a skill published in the GitHub repository zjunlp/SkillNet (1,255 stars, last pushed today), licensed MIT. It adds 85 tokens to every session and 507 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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