zjunlp/skillnet/scienceworld-living-entity-identifier
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Checking that the SKILL.md file is still in the repository.
Analyzes room observations to identify potential living things (e.g., eggs, plants, animals) among listed objects. Use this skill when a task involves finding, focusing on, or interacting with a living thing, biological entity, or organism. Processes observation text, flags candidate living items based on domain knowledge, and outputs a focused target for subsequent actions like focus on or pick up.
Install
npx vskill@latest install zjunlp/skillnet/scienceworld-living-entity-identifierSKILL.md
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.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingexperiments/src/skills/scienceworld/scienceworld-living-entity-identifier/SKILL.md
Popularity
- Repository stars
- 1,024
- Repository forks
- 117
- 7-day trend score
- 35
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 6 Jun 2026, 4 months ago.
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