Design System
affaan-m/ECC
Generate a design system from an existing codebase or audit one for visual consistency: extract tokens (colors, typography, spacing, shadows) into design-tokens.json and CSS custom properties with…
Places an object into one of several designated containers based on a measured condition, such as a temperature threshold.
MITAuto-check passed
Install Scienceworld Conditional Placer
$ npx skills add zjunlp/SkillNet --skill scienceworld-conditional-placer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zjunlp/SkillNet scienceworld-conditional-placer --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-conditional-placer .claude/skills/scienceworld-conditional-placer && 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-conditional-placer" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-conditional-placer into .claude/skills/scienceworld-conditional-placer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scienceworld-conditional-placer", 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-conditional-placerType 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-conditional-placer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zjunlp/SkillNet scienceworld-conditional-placer --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-conditional-placer .agents/skills/scienceworld-conditional-placer && 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-conditional-placer" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-conditional-placer into .agents/skills/scienceworld-conditional-placer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scienceworld-conditional-placer", 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-conditional-placer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zjunlp/SkillNet scienceworld-conditional-placer --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-conditional-placer .cursor/skills/scienceworld-conditional-placer && 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-conditional-placer" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-conditional-placer into .cursor/skills/scienceworld-conditional-placer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scienceworld-conditional-placer", 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-conditional-placer--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-conditional-placer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zjunlp/SkillNet scienceworld-conditional-placer --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-conditional-placer .gemini/skills/scienceworld-conditional-placer && 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-conditional-placer" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-conditional-placer into .gemini/skills/scienceworld-conditional-placer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scienceworld-conditional-placer", 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-conditional-placerInstalls 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-conditional-placer -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-conditional-placer .github/skills/scienceworld-conditional-placer && 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-conditional-placer" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-conditional-placer into .github/skills/scienceworld-conditional-placer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scienceworld-conditional-placer", 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-conditional-placer -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-conditional-placer --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-conditional-placer .opencode/skills/scienceworld-conditional-placer && 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-conditional-placer" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-conditional-placer into .opencode/skills/scienceworld-conditional-placer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scienceworld-conditional-placer", 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-conditional-placer- GitHub stars
- 1.4k
- Token cost
- ~560 tokens
- SKILL.md length
- 268 words
- Files
- 2 (incl. references)
- Skills in repo
- 122
- Repo updated
- First seen
- Licence
- MIT
At a glance
Places an object into one of several designated containers based on a measured condition, such as a temperature threshold.
- Works in 5 steps: Locate & Acquire Measurement Tool:… → Locate & Acquire Target Object: teleport… → Identify Target Containers: Use look… → …
- You have completed a measurement
- 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 Conditional Placer is an agent skill from zjunlp/SkillNet. Places an object into one of several designated containers based on a measured condition, such as a temperature threshold. Use this skill when you have completed a measurement or assessment and the task requires sorting or storing the object into one of multiple containers according to a rule (e.g., "if temperature X, place in container A; otherwise container B").
Its SKILL.md is about 560 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_guide.md`).
The repository describes itself as: Create, Evaluate, and Connect AI Skills. The licence is MIT.
When your agent uses it
- You have completed a measurement
- Assessment and the task requires sorting
- Storing the object into one of multiple containers according to a rule (e.g.
- Place in container A
Example prompts
- “if temperature X, place in container A; otherwise container B”
- “Use the scienceworld-conditional-placer skill to place an object into one of several designated containers based on a measured condition, such as a…”
- “/scienceworld-conditional-placer”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Locate & Acquire Measurement Tool: teleport to LOC then pick up the measurement device (e.g., thermometer).
- Locate & Acquire Target Object: teleport to LOC then pick up the object to be measured (e.g., metal fork).
- Identify Target Containers: Use look around to find the designated containers (e.g., blue box, orange box).
- Perform Measurement: use OBJ on OBJ (e.g., use thermometer on metal fork) to obtain the value.
- Evaluate Condition & Place: Compare the measured value against the threshold, then move OBJ to OBJ to place the object in the correct…
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 Conditional Placer loads about 560 tokens when it runs, and up to ~969 if it reads all its reference files. Until then it costs about 100 tokens; SKILL.md has 268 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). 268 words, ~560 tokens.
Download SKILL.mdSave it as
.claude/skills/scienceworld-conditional-placer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- scienceworld-conditional-placer
- description
- Places an object into one of several designated containers based on a measured condition, such as a temperature threshold. Use this skill when you have completed a measurement or assessment and the task requires sorting or storing the object into one of multiple containers according to a rule (e.g., "if temperature > X, place in container A; otherwise container B").
Skill: Conditional Object Placer
Purpose
Place a target object into the correct container based on a measured condition (e.g., temperature threshold, conductivity result). This skill executes the full measure-then-sort workflow.
Core Workflow
- Locate & Acquire Measurement Tool:
teleport to LOCthenpick upthe measurement device (e.g., thermometer). - Locate & Acquire Target Object:
teleport to LOCthenpick upthe object to be measured (e.g., metal fork). - Identify Target Containers: Use
look aroundto find the designated containers (e.g., blue box, orange box). - Perform Measurement:
use OBJ on OBJ(e.g.,use thermometer on metal fork) to obtain the value. - Evaluate Condition & Place: Compare the measured value against the threshold, then
move OBJ to OBJto place the object in the correct container.
Key Actions
| Action | Purpose |
|---|---|
teleport to LOC | Navigate between rooms |
look around | Survey a room for objects |
pick up OBJ | Acquire tools or target object |
use OBJ on OBJ | Perform measurement |
move OBJ to OBJ | Place object into selected container |
Example
Task: "Measure the temperature of the metal fork. If above 50C, place in the orange box. Otherwise, place in the blue box."
teleport to kitchenlook around— find thermometer and metal forkpick up thermometerpick up metal forkuse thermometer on metal fork— reads 72 degrees- 72 > 50, so:
move metal fork to orange box
Important Notes
- All containers are pre-opened. Do not use
openorcloseactions. - The measurement tool and target object must be picked up and used from inventory.
- Room names, object names, thresholds, and container names vary per task — adapt accordingly.
© 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-conditional-placer of zjunlp/SkillNet.
- SKILL.md
- references/action_guide.md
Open the folder on GitHubat commit 3fcebf8
Compare with similar skills
Scienceworld Conditional Placer 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 Conditional Placer this skillzjunlp/SkillNet | 1.4k | — | ~560 | Automated safety check: Pass | MIT | |
| Design Systemaffaan-m/ECC | 275k | — | ~698 | Automated safety check: Pass | MIT | |
| Design Guidepaperclipai/paperclip | 99k | 1 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Design Audit Against Rams' Principlesthedotmack/claude-mem | 98k | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Figma Design to Codewarpdotdev/warp | 65k | 4 repos | ~2.9k | Automated safety check: Pass | AGPL-3.0 | |
| Design Consultationgarrytan/gstack | 136k | — | ~15k | Automated safety check: Notes | MIT |
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Questions about Scienceworld Conditional Placer
What does Scienceworld Conditional Placer do?
Places an object into one of several designated containers based on a measured condition, such as a temperature threshold. Scienceworld Conditional Placer is an agent skill from zjunlp/SkillNet. Places an object into one of several designated containers based on a measured condition, such as a temperature threshold.
When should I use Scienceworld Conditional Placer?
Scienceworld Conditional Placer fits situations like: you have completed a measurement; assessment and the task requires sorting; storing the object into one of multiple containers according to a rule (e.g; place in container A.
How do I install Scienceworld Conditional Placer in Claude Code?
Run `npx skills add zjunlp/SkillNet --skill scienceworld-conditional-placer -a claude-code`. Or copy the skill folder (experiments/src/skills/scienceworld/scienceworld-conditional-placer in zjunlp/SkillNet) into .claude/skills/scienceworld-conditional-placer in your project. Claude Code loads it when a task matches its description.
How do I install Scienceworld Conditional Placer in Codex?
Run `npx skills add zjunlp/SkillNet --skill scienceworld-conditional-placer -a codex`. Or copy the skill folder (experiments/src/skills/scienceworld/scienceworld-conditional-placer in zjunlp/SkillNet) into .agents/skills/scienceworld-conditional-placer in your project. Codex loads it when a task matches its description.
Can I use Scienceworld Conditional Placer 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-conditional-placer -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-conditional-placer, .gemini/skills/scienceworld-conditional-placer, .github/skills/scienceworld-conditional-placer and .opencode/skills/scienceworld-conditional-placer in your project.
What does Scienceworld Conditional Placer need to run?
SKILL.md names no scripts, command-line tools or credentials: Scienceworld Conditional Placer is instructions for the agent only.
Does Scienceworld Conditional Placer 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 Conditional Placer 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 Conditional Placer use?
Scienceworld Conditional Placer 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 Conditional Placer use?
About 560 tokens (SKILL.md is roughly 2.2k 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 409 tokens, read only when the agent opens those files.
What are the alternatives to Scienceworld Conditional Placer?
Skills that share tags, products or a category with Scienceworld Conditional Placer: Design System (affaan-m/ECC, 275k stars), Design Guide (paperclipai/paperclip, 99k stars), Design Audit Against Rams' Principles (thedotmack/claude-mem, 98k stars) and Figma Design to Code (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Scienceworld Conditional Placer?
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.