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Agent skill

Scienceworld Result Archiver

by zjunlp in zjunlp/SkillNet

Places an object into a designated container (like a colored box) based on a test outcome.

MITAuto-check passed

Install Scienceworld Result Archiver

skills CLI
$ npx skills add zjunlp/SkillNet --skill scienceworld-result-archiver -a claude-code

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

GitHub CLI
$ gh skill install zjunlp/SkillNet scienceworld-result-archiver --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-result-archiver .claude/skills/scienceworld-result-archiver && 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-result-archiver
GitHub stars
1.4k
Token cost
~635 tokens
SKILL.md length
320 words
Files
1
Skills in repo
122
Repo updated
First seen
Licence
MIT

At a glance

Places an object into a designated container (like a colored box) based on a test outcome.

  • Works in 4 steps: Verify Context: Ensure you are in the… → Confirm Test Result: Observe the final… → Apply Rule: Map the confirmed outcome to… → …
  • SKILL.md covers When to Use, Core Procedure, Key Principles and Example Rule Application, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Scienceworld Result Archiver is an agent skill from zjunlp/SkillNet. Places an object into a designated container (like a colored box) based on a test outcome. It should be triggered when the agent needs to finalize a task by storing an object according to a rule (e.g., conductive → blue box, non-conductive → orange box). The input is the object and the rule, and the output is the object moved to the correct container.

Its SKILL.md is about 640 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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

Example prompts

  • “Use the scienceworld-result-archiver skill to place an object into a designated container (like a colored box) based on a test outcome”
  • “/scienceworld-result-archiver”

Workflow steps

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

  1. Verify Context: Ensure you are in the correct room (typically the workshop or lab area) where the test was conducted and where the…
  2. Confirm Test Result: Observe the final state of your experimental apparatus to definitively determine the test outcome (e.g., "light bulb…
  3. Apply Rule: Map the confirmed outcome to the corresponding destination container as specified by the task rule.
  4. Execute Archive: Move the test object from its current location (inventory or room) into the correct container using the move OBJ to…

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 Result Archiver loads about 635 tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 320 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
When it runs · the whole SKILL.md, loaded when a task matches
~635

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). 320 words, ~635 tokens.

Download SKILL.mdSave it as .claude/skills/scienceworld-result-archiver/SKILL.md (or your agent's skills folder).
name
scienceworld-result-archiver
description
Places an object into a designated container (like a colored box) based on a test outcome. It should be triggered when the agent needs to finalize a task by storing an object according to a rule (e.g., conductive → blue box, non-conductive → orange box). The input is the object and the rule, and the output is the object moved to the correct container.

Instructions

Use this skill to finalize a scientific test by archiving an object based on the observed result.

When to Use

  • You have just completed an experimental test (e.g., electrical conductivity, chemical reaction, physical property test).
  • You have a clear rule mapping a specific test outcome to a specific destination container (e.g., "If property X is true, place in Container A; if false, place in Container B").
  • The object to be archived and the destination containers are present in your current environment.

Core Procedure

  1. Verify Context: Ensure you are in the correct room (typically the workshop or lab area) where the test was conducted and where the destination containers are located.
  2. Confirm Test Result: Observe the final state of your experimental apparatus to definitively determine the test outcome (e.g., "light bulb is on").
  3. Apply Rule: Map the confirmed outcome to the corresponding destination container as specified by the task rule.
  4. Execute Archive: Move the test object from its current location (inventory or room) into the correct container using the move OBJ to CONTAINER action.

Key Principles

  • Direct Archiving: Do not re-run the test. The skill is for archiving the result based on an already observed outcome.
  • Rule Adherence: Strictly follow the provided mapping rule. Do not infer or create new rules.
  • Container Verification: Before moving the object, visually confirm the target container exists in the room (use look around if uncertain).

Example Rule Application

Task Rule: "If the metal pot is electrically conductive, place it in the blue box. If it is electrically nonconductive, place it in the orange box." Observation: The blue light bulb in the circuit is on. Interpretation: The metal pot is conductive. Action: move metal pot to blue box

Bundled Logic

For the specific, error-prone sequence of connecting a circuit to test electrical conductivity, use the bundled script scripts/conductivity_test.py as a reference. For all other test types, use the general instructions above.

© 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

Just SKILL.md in experiments/src/skills/scienceworld/scienceworld-result-archiver of zjunlp/SkillNet.

Open the folder on GitHubat commit c527136

Compare with similar skills

Scienceworld Result Archiver 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 Result Archiver compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scienceworld Result Archiver this skillzjunlp/SkillNet1.4k—~635Automated safety check: PassMIT
Design Systemaffaan-m/ECC276k—~698Automated safety check: PassMIT
Design Consultationgarrytan/gstack136k—~15kAutomated safety check: NotesMIT
Design Guidepaperclipai/paperclip99k1 repos~3.1kAutomated safety check: PassMIT
Design Audit Against Rams' Principlesthedotmack/claude-mem99k—~4.6kAutomated safety check: PassApache-2.0
Figma Design to Codewarpdotdev/warp65k4 repos~2.9kAutomated safety check: PassAGPL-3.0

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Questions about Scienceworld Result Archiver

What does Scienceworld Result Archiver do?

Places an object into a designated container (like a colored box) based on a test outcome. Scienceworld Result Archiver is an agent skill from zjunlp/SkillNet. Places an object into a designated container (like a colored box) based on a test outcome.

How do I install Scienceworld Result Archiver in Claude Code?

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

How do I install Scienceworld Result Archiver in Codex?

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

Can I use Scienceworld Result Archiver 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-result-archiver -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-result-archiver, .gemini/skills/scienceworld-result-archiver, .github/skills/scienceworld-result-archiver and .opencode/skills/scienceworld-result-archiver in your project.

What does Scienceworld Result Archiver need to run?

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

Does Scienceworld Result Archiver 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 Result Archiver 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 Result Archiver use?

Scienceworld Result Archiver 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 Result Archiver use?

About 635 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Scienceworld Result Archiver?

Skills that share tags, products or a category with Scienceworld Result Archiver: Design System (affaan-m/ECC, 276k stars), Design Consultation (garrytan/gstack, 136k stars), Design Guide (paperclipai/paperclip, 99k stars) and Design Audit Against Rams' Principles (thedotmack/claude-mem, 99k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scienceworld Result Archiver?

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.