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Agent skill

Scienceworld Living Entity Identifier

by zjunlp in zjunlp/SkillNet

Analyzes room observations to identify potential living things (e.g., eggs, plants, animals) among listed objects.

MITAuto-check passed

Install Scienceworld Living Entity Identifier

skills CLI
$ npx skills add zjunlp/SkillNet --skill scienceworld-living-entity-identifier -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zjunlp/SkillNet scienceworld-living-entity-identifier --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experiments/src/skills/scienceworld/scienceworld-living-entity-identifier .claude/skills/scienceworld-living-entity-identifier && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
scienceworld-living-entity-identifier
GitHub stars
1.4k
Token cost
~531 tokens
SKILL.md length
226 words
Files
3 (incl. references)
Skills in repo
122
Repo updated
First seen
Licence
MIT

At a glance

Analyzes room observations to identify potential living things (e.g., eggs, plants, animals) among listed objects.

  • Works in 4 steps: Survey Room: look around to get the… → Identify Candidates: Scan the object… → Focus on Target: focus on… → …
  • A task involves finding
  • SKILL.md covers Purpose, Core Workflow, Key Actions and Example, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Scienceworld Living Entity Identifier is an agent skill from zjunlp/SkillNet. 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.

Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/action_sequences.md` and `references/living_indicators.md`).

The repository describes itself as: Create, Evaluate, and Connect AI Skills. The licence is MIT.

When your agent uses it

  • A task involves finding
  • Interacting with a living thing
  • Biological entity

Example prompts

  • “Use the scienceworld-living-entity-identifier skill to analyz room observations to identify potential living things (e.g., eggs, plants, animals)…”
  • “/scienceworld-living-entity-identifier”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Survey Room: look around to get the observation text listing all objects.
  2. Identify Candidates: Scan the object list for living entity indicators
  3. Focus on Target: focus on [IDENTIFIED_OBJECT] to signal task progress.
  4. Transport (if needed): pick up [OBJECT] then move [OBJECT] to [CONTAINER].

What it can do on your machine

Read from SKILL.md and the folder at commit c527136. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Scienceworld Living Entity Identifier loads about 531 tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 110 tokens; SKILL.md has 226 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~110
When it runs · the whole SKILL.md, loaded when a task matches
~531
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from zjunlp/SkillNet at commit c527136, republished under its MIT licence (© zjunlp). 226 words, ~531 tokens.

Download SKILL.mdSave it as .claude/skills/scienceworld-living-entity-identifier/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
scienceworld-living-entity-identifier
description
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.

Skill: Living Entity Identifier

Purpose

Identify living things (eggs, plants, animals) from room observations and focus on them for task progression.

Core Workflow

  1. Survey Room: look around to get the observation text listing all objects.
  2. 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
  3. Focus on Target: focus on [IDENTIFIED_OBJECT] to signal task progress.
  4. Transport (if needed): pick up [OBJECT] then move [OBJECT] to [CONTAINER].

Key Actions

ActionPurpose
look aroundSurvey room for objects
teleport to LOCMove to rooms with biological likelihood
focus on OBJSignal identification to task system
pick up OBJAcquire entity for transport

Example

Task: "Find a living thing in the environment."

  1. teleport to outside
  2. look around — observation lists: "a dove egg", "a rock", "soil"
  3. Identify "dove egg" as the living entity candidate
  4. focus on dove egg
  5. If transport required: pick up dove egg then move 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 to rooms with higher biological likelihood: outside, greenhouse, bedroom.
  • Always use focus on immediately after identification — it signals task progress.

© zjunlp, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in experiments/src/skills/scienceworld/scienceworld-living-entity-identifier of zjunlp/SkillNet.

  • SKILL.md
  • references/action_sequences.md
  • references/living_indicators.md

Open the folder on GitHubat commit c527136

Compare with similar skills

Scienceworld Living Entity Identifier next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Scienceworld Living Entity Identifier compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scienceworld Living Entity Identifier this skillzjunlp/SkillNet1.4k—~531Automated safety check: PassMIT
Analyzing Expensive UsersPostHog/posthog40k—~3.9kAutomated safety check: PassCustom licence
Langsmith ObservabilityOrchestra-Research/AI-Research-SKILLs13k2 repos~2.4kAutomated safety check: PassMIT
ObservabilityBuilderIO/agent-native7.1k—~7.3kAutomated safety check: PassNone
Frontend Observabilitysickn33/agentic-awesome-skills47k1 repos~5.1kAutomated safety check: PassMIT
Ebpf Observabilitysickn33/agentic-awesome-skills47k2 repos~3.3kAutomated safety check: NotesMIT

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Questions about Scienceworld Living Entity Identifier

What does Scienceworld Living Entity Identifier do?

Analyzes room observations to identify potential living things (e.g., eggs, plants, animals) among listed objects. Scienceworld Living Entity Identifier is an agent skill from zjunlp/SkillNet., eggs, plants, animals) among listed objects.

When should I use Scienceworld Living Entity Identifier?

Scienceworld Living Entity Identifier fits situations like: A task involves finding; interacting with a living thing; biological entity.

How do I install Scienceworld Living Entity Identifier in Claude Code?

Run `npx skills add zjunlp/SkillNet --skill scienceworld-living-entity-identifier -a claude-code`. Or copy the skill folder (experiments/src/skills/scienceworld/scienceworld-living-entity-identifier in zjunlp/SkillNet) into .claude/skills/scienceworld-living-entity-identifier in your project. Claude Code loads it when a task matches its description.

How do I install Scienceworld Living Entity Identifier in Codex?

Run `npx skills add zjunlp/SkillNet --skill scienceworld-living-entity-identifier -a codex`. Or copy the skill folder (experiments/src/skills/scienceworld/scienceworld-living-entity-identifier in zjunlp/SkillNet) into .agents/skills/scienceworld-living-entity-identifier in your project. Codex loads it when a task matches its description.

Can I use Scienceworld Living Entity Identifier in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zjunlp/SkillNet --skill scienceworld-living-entity-identifier -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scienceworld-living-entity-identifier, .gemini/skills/scienceworld-living-entity-identifier, .github/skills/scienceworld-living-entity-identifier and .opencode/skills/scienceworld-living-entity-identifier in your project.

What does Scienceworld Living Entity Identifier need to run?

SKILL.md names no scripts, command-line tools or credentials: Scienceworld Living Entity Identifier is instructions for the agent only.

Does Scienceworld Living Entity Identifier access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Scienceworld Living Entity Identifier safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Scienceworld Living Entity Identifier use?

Scienceworld Living Entity Identifier is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Scienceworld Living Entity Identifier use?

About 531 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 521 tokens, read only when the agent opens those files.

What are the alternatives to Scienceworld Living Entity Identifier?

Skills that share tags, products or a category with Scienceworld Living Entity Identifier: Analyzing Expensive Users (PostHog/posthog, 40k stars), Langsmith Observability (Orchestra-Research/AI-Research-SKILLs, 13k stars), Observability (BuilderIO/agent-native, 7.1k stars) and Frontend Observability (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scienceworld Living Entity Identifier?

zjunlp (a GitHub organization) maintains it in zjunlp/SkillNet, which has 1,397 GitHub stars. The repository holds 122 skills in this directory. The repository was last updated on October 9, 2026.

Source: zjunlp/SkillNet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.