Scientific Visualization
K-Dense-AI/scientific-agent-skills
Creates and audits truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn, or Plotly.
This skill parses a user's high-level scientific task in the ScienceWorld environment and extracts the core objective and target location.
MITAuto-check passed
Install Scienceworld Task Interpreter
$ npx skills add zjunlp/SkillNet --skill scienceworld-task-interpreter -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zjunlp/SkillNet scienceworld-task-interpreter --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-task-interpreter .claude/skills/scienceworld-task-interpreter && rm -rf skills-srcUse ~/.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/
Install the "scienceworld-task-interpreter" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-task-interpreter into .claude/skills/scienceworld-task-interpreter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scienceworld-task-interpreter", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-task-interpreterType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add zjunlp/SkillNet --skill scienceworld-task-interpreter -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zjunlp/SkillNet scienceworld-task-interpreter --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .agents/skills && cp -r skills-src/experiments/src/skills/scienceworld/scienceworld-task-interpreter .agents/skills/scienceworld-task-interpreter && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scienceworld-task-interpreter" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-task-interpreter into .agents/skills/scienceworld-task-interpreter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scienceworld-task-interpreter", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zjunlp/SkillNet --skill scienceworld-task-interpreter -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zjunlp/SkillNet scienceworld-task-interpreter --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/experiments/src/skills/scienceworld/scienceworld-task-interpreter .cursor/skills/scienceworld-task-interpreter && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "scienceworld-task-interpreter" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-task-interpreter into .cursor/skills/scienceworld-task-interpreter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scienceworld-task-interpreter", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/zjunlp/SkillNet.git --path experiments/src/skills/scienceworld/scienceworld-task-interpreter--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add zjunlp/SkillNet --skill scienceworld-task-interpreter -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zjunlp/SkillNet scienceworld-task-interpreter --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/experiments/src/skills/scienceworld/scienceworld-task-interpreter .gemini/skills/scienceworld-task-interpreter && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "scienceworld-task-interpreter" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-task-interpreter into .gemini/skills/scienceworld-task-interpreter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scienceworld-task-interpreter", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install zjunlp/SkillNet scienceworld-task-interpreterInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add zjunlp/SkillNet --skill scienceworld-task-interpreter -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .github/skills && cp -r skills-src/experiments/src/skills/scienceworld/scienceworld-task-interpreter .github/skills/scienceworld-task-interpreter && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "scienceworld-task-interpreter" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-task-interpreter into .github/skills/scienceworld-task-interpreter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scienceworld-task-interpreter", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zjunlp/SkillNet --skill scienceworld-task-interpreter -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zjunlp/SkillNet scienceworld-task-interpreter --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/experiments/src/skills/scienceworld/scienceworld-task-interpreter .opencode/skills/scienceworld-task-interpreter && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "scienceworld-task-interpreter" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-task-interpreter into .opencode/skills/scienceworld-task-interpreter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scienceworld-task-interpreter", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
scienceworld-task-interpreter- GitHub stars
- 1.4k
- Token cost
- ~495 tokens
- SKILL.md length
- 199 words
- Files
- 2 (incl. references)
- Skills in repo
- 122
- Repo updated
- First seen
- Licence
- MIT
At a glance
This skill parses a user's high-level scientific task in the ScienceWorld environment and extracts the core objective and target location.
- Works in 3 steps: Parse the Task → Formulate the Plan → Output the Interpretation
- SKILL.md covers 1. Parse the Task, 2. Formulate the Plan and 3. Output the Interpretation
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Scienceworld Task Interpreter is an agent skill from zjunlp/SkillNet. This skill parses a user's high-level scientific task in the ScienceWorld environment and extracts the core objective and target location. It should be triggered when a new task instruction is received, especially those involving finding, comparing, or manipulating objects. The skill interprets the query to identify the goal (e.g., 'find the animal with the shortest life span') and any specified locations (e.g., 'animals are in the outside location'), outputting a clear, actionable sub-goal for navigation or…
Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/action_glossary.md`).
The repository describes itself as: Create, Evaluate, and Connect AI Skills. The licence is MIT.
Example prompts
- “find the animal with the shortest life span”
- “animals are in the outside location”
- “/scienceworld-task-interpreter”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 3fcebf8. 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 Task Interpreter loads about 495 tokens when it runs, and up to ~786 if it reads all its reference files. Until then it costs about 139 tokens; SKILL.md has 199 words of instructions outside code blocks.
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 3fcebf8, republished under its MIT licence (© zjunlp). 199 words, ~495 tokens.
Download SKILL.mdSave it as
.claude/skills/scienceworld-task-interpreter/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- scienceworld-task-interpreter
- description
- This skill parses a user's high-level scientific task in the ScienceWorld environment and extracts the core objective and target location. It should be triggered when a new task instruction is received, especially those involving finding, comparing, or manipulating objects. The skill interprets the query to identify the goal (e.g., 'find the animal with the shortest life span') and any specified locations (e.g., 'animals are in the outside location'), outputting a clear, actionable sub-goal for navigation or observation.
Instructions
Activate this skill when the user provides a new task instruction for the ScienceWorld environment. Your primary function is to interpret the instruction and generate a clear, executable plan.
1. Parse the Task
Read the user's instruction carefully. Extract the following core components:
- Primary Objective: What is the ultimate goal? (e.g., "find", "compare", "manipulate").
- Target Object/Subject: What is the main focus of the task? (e.g., "animal with the shortest life span").
- Specified Location: Is a location explicitly mentioned? (e.g., "animals are in the 'outside' location").
2. Formulate the Plan
Based on the parsed components, construct a plan. The standard plan structure is:
- Navigate: If a target location is specified and you are not there, teleport to it immediately.
- Observe: Upon arriving at the correct location, use
look aroundto survey the environment and identify relevant objects. - Analyze & Execute: Apply domain knowledge or comparative reasoning to the observed objects to fulfill the primary objective. Then, take the final required action (e.g.,
focus on [OBJECT],pick up [OBJECT]).
3. Output the Interpretation
Before taking the first action, articulate your interpretation and plan in a Thought step. This confirms the skill has correctly parsed the task. Output Format:
© 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 1 other file (references) in experiments/src/skills/scienceworld/scienceworld-task-interpreter of zjunlp/SkillNet.
- SKILL.md
- references/action_glossary.md
Open the folder on GitHubat commit 3fcebf8
Compare with similar skills
Scienceworld Task Interpreter 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Scienceworld Task Interpreter this skillzjunlp/SkillNet | 1.4k | — | ~495 | Automated safety check: Pass | MIT | |
| Scientific VisualizationK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.9k | Automated safety check: Notes | MIT | |
| Scientific SchematicsK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~5.1k | Automated safety check: Notes | MIT | |
| Scientific SlidesK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~5.4k | Automated safety check: Notes | MIT | |
| Scientific Critical ThinkingK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.3k | Automated safety check: Pass | MIT | |
| TransformerLens InterpretabilityOrchestra-Research/AI-Research-SKILLs | 13k | 4 repos | ~3k | Automated safety check: Pass | MIT |
Similar skills
Scientific Schematics
K-Dense-AI/scientific-agent-skills
Generates scientific diagram drafts using Nano Banana 2 AI with smart iterative refinement.
Scientific Slides
K-Dense-AI/scientific-agent-skills
Builds slide decks and presentations for research talks. An agent skill from K-Dense-AI/scientific-agent-skills.
Scientific Critical Thinking
K-Dense-AI/scientific-agent-skills
Evaluates scientific claims and evidence quality. An agent skill from K-Dense-AI/scientific-agent-skills.
TransformerLens Interpretability
Orchestra-Research/AI-Research-SKILLs
Guides mechanistic interpretability work with TransformerLens: loading models, caching activations, using HookPoints, activation patching and attention-pattern analysis.
Scientific Thinking Literature Review
affaan-m/ECC
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
More from zjunlp/SkillNet
All 122 skills in this repoSkillnet
zjunlp/SkillNet
Search, download, create, evaluate, analyze and route reusable agent skills with SkillNet.
Alfworld Environment Scanner
zjunlp/SkillNet
Performs an initial scan of the ALFWorld environment to identify all visible objects and receptacles.
Alfworld Receptacle Searcher
zjunlp/SkillNet
This skill searches for a specific receptacle (e.g., garbage can, cabinet) by systematically exploring the environment, checking multiple locations until found.
Alfworld Appliance Preparer
zjunlp/SkillNet
Prepares a household appliance (microwave, oven, toaster, fridge) for use by ensuring it is in the correct open/closed state.
Alfworld Device Operator
zjunlp/SkillNet
Operates a device or appliance (like a desklamp, microwave, or fridge) to interact with another object.
Alfworld Heat Object With Appliance
zjunlp/SkillNet
Uses a heating appliance (microwave, stoveburner, oven) to apply heat to a specified object.
Questions about Scienceworld Task Interpreter
What does Scienceworld Task Interpreter do?
This skill parses a user's high-level scientific task in the ScienceWorld environment and extracts the core objective and target location. Scienceworld Task Interpreter is an agent skill from zjunlp/SkillNet. This skill parses a user's high-level scientific task in the ScienceWorld environment and extracts the core objective and target location.
How do I install Scienceworld Task Interpreter in Claude Code?
Run `npx skills add zjunlp/SkillNet --skill scienceworld-task-interpreter -a claude-code`. Or copy the skill folder (experiments/src/skills/scienceworld/scienceworld-task-interpreter in zjunlp/SkillNet) into .claude/skills/scienceworld-task-interpreter in your project. Claude Code loads it when a task matches its description.
How do I install Scienceworld Task Interpreter in Codex?
Run `npx skills add zjunlp/SkillNet --skill scienceworld-task-interpreter -a codex`. Or copy the skill folder (experiments/src/skills/scienceworld/scienceworld-task-interpreter in zjunlp/SkillNet) into .agents/skills/scienceworld-task-interpreter in your project. Codex loads it when a task matches its description.
Can I use Scienceworld Task Interpreter 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-task-interpreter -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-task-interpreter, .gemini/skills/scienceworld-task-interpreter, .github/skills/scienceworld-task-interpreter and .opencode/skills/scienceworld-task-interpreter in your project.
What does Scienceworld Task Interpreter need to run?
SKILL.md names no scripts, command-line tools or credentials: Scienceworld Task Interpreter is instructions for the agent only.
Does Scienceworld Task Interpreter 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 Task Interpreter 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 Task Interpreter use?
Scienceworld Task Interpreter 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 Task Interpreter use?
About 495 tokens (SKILL.md is roughly 2k 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 291 tokens, read only when the agent opens those files.
What are the alternatives to Scienceworld Task Interpreter?
Skills that share tags, products or a category with Scienceworld Task Interpreter: Scientific Visualization (K-Dense-AI/scientific-agent-skills, 48k stars), Scientific Schematics (K-Dense-AI/scientific-agent-skills, 48k stars), Scientific Slides (K-Dense-AI/scientific-agent-skills, 48k stars) and Scientific Critical Thinking (K-Dense-AI/scientific-agent-skills, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Scienceworld Task Interpreter?
zjunlp (a GitHub organization) maintains it in zjunlp/SkillNet, which has 1,393 GitHub stars. The repository holds 122 skills in this directory. The repository was last updated on October 7, 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.