Agent skill

Unit Conversion Nanoscale

by InternScience in InternScience/scp

Convert physical quantities and units at nanoscale for materials science and nanotechnology applications.

MITAuto-check passedResearch & Science

Install Unit Conversion Nanoscale

skills CLI
$ npx skills add InternScience/scp --skill unit-conversion-nanoscale -a claude-code

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

GitHub CLI
$ gh skill install InternScience/scp unit-conversion-nanoscale --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/InternScience/scp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/unit-conversion-nanoscale .claude/skills/unit-conversion-nanoscale && 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
unit-conversion-nanoscale
GitHub stars
169
Used in
1 other repo
Token cost
~553 tokens
SKILL.md length
14 words
Files
1
Skills in repo
73
Repo updated
First seen
Licence
MIT

At a glance

Convert physical quantities and units at nanoscale for materials science and nanotechnology applications.

  • Tasks that involve Physical and earth sciences
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Unit Conversion Nanoscale is an agent skill from InternScience/scp. Convert physical quantities and units at nanoscale for materials science and nanotechnology applications.

Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Physical and earth sciences. The licence is MIT.

When your agent uses it

  • Tasks that involve Physical and earth sciences

Example prompts

  • “/unit-conversion-nanoscale”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit cea5398. 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 (its code samples are python).

    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

Unit Conversion Nanoscale loads about 553 tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 14 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~553

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 InternScience/scp at commit cea5398, republished under its MIT licence (© InternScience). 14 words, ~553 tokens.

Download SKILL.mdSave it as .claude/skills/unit-conversion-nanoscale/SKILL.md (or your agent's skills folder).
name
unit-conversion-nanoscale
description
Convert physical quantities and units at nanoscale for materials science and nanotechnology applications.
license
MIT license
metadata.skill-author
PJLab

Unit Conversion for Nanoscale

Usage

python
import asyncio
import json
from mcp.client.streamable_http import streamablehttp_client
from mcp import ClientSession

class UnitClient:
    def __init__(self, server_url: str, api_key: str):
        self.server_url = server_url
        self.api_key = api_key
        self.session = None

    async def connect(self):
        try:
            self.transport = streamablehttp_client(url=self.server_url, headers={"SCP-HUB-API-KEY": self.api_key})
            self.read, self.write, self.get_session_id = await self.transport.__aenter__()
            self.session_ctx = ClientSession(self.read, self.write)
            self.session = await self.session_ctx.__aenter__()
            await self.session.initialize()
            return True
        except:
            return False

    async def disconnect(self):
        if self.session:
            await self.session_ctx.__aexit__(None, None, None)
        if hasattr(self, 'transport'):
            await self.transport.__aexit__(None, None, None)

    def parse_result(self, result):
        try:
            if hasattr(result, 'content') and result.content:
                return json.loads(result.content[0].text)
            return str(result)
        except:
            return {"error": "parse error"}

## Initialize and use
client = UnitClient("https://scp.intern-ai.org.cn/api/v1/mcp/27/Physical_Quantities_Conversion", "<your-api-key>")
await client.connect()

# Nanoscale unit conversions
nm_to_m = 1e-9
angstrom_to_m = 1e-10

length_nm = 50  # nanometers
length_m = length_nm * nm_to_m
length_angstrom = length_m / angstrom_to_m

print(f"{length_nm} nm = {length_m:.2e} m = {length_angstrom:.1f} Å")

# Energy conversion (eV to Joules)
eV_to_J = 1.602e-19
energy_eV = 2.5
energy_J = energy_eV * eV_to_J
print(f"{energy_eV} eV = {energy_J:.2e} J")

await client.disconnect()
Use Cases
  • Nanotechnology, semiconductor physics, quantum mechanics, materials characterization

© InternScience, 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 skills/unit-conversion-nanoscale of InternScience/scp.

Open the folder on GitHubat commit cea5398

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in InternScience/scp, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Unit Conversion Nanoscale 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.

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Questions about Unit Conversion Nanoscale

What does Unit Conversion Nanoscale do?

Convert physical quantities and units at nanoscale for materials science and nanotechnology applications. Unit Conversion Nanoscale is an agent skill from InternScience/scp. Convert physical quantities and units at nanoscale for materials science and nanotechnology applications.

When should I use Unit Conversion Nanoscale?

Unit Conversion Nanoscale fits situations like: tasks that involve Physical and earth sciences.

How do I install Unit Conversion Nanoscale in Claude Code?

Run `npx skills add InternScience/scp --skill unit-conversion-nanoscale -a claude-code`. Or copy the skill folder (skills/unit-conversion-nanoscale in InternScience/scp) into .claude/skills/unit-conversion-nanoscale in your project. Claude Code loads it when a task matches its description.

How do I install Unit Conversion Nanoscale in Codex?

Run `npx skills add InternScience/scp --skill unit-conversion-nanoscale -a codex`. Or copy the skill folder (skills/unit-conversion-nanoscale in InternScience/scp) into .agents/skills/unit-conversion-nanoscale in your project. Codex loads it when a task matches its description.

Can I use Unit Conversion Nanoscale 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 InternScience/scp --skill unit-conversion-nanoscale -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/unit-conversion-nanoscale, .gemini/skills/unit-conversion-nanoscale, .github/skills/unit-conversion-nanoscale and .opencode/skills/unit-conversion-nanoscale in your project.

What does Unit Conversion Nanoscale need to run?

SKILL.md names no scripts, command-line tools or credentials: Unit Conversion Nanoscale is instructions for the agent only. Our summary lists: Python 3.

Does Unit Conversion Nanoscale 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 Unit Conversion Nanoscale 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 Unit Conversion Nanoscale use?

Unit Conversion Nanoscale is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Unit Conversion Nanoscale use?

About 553 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.

What are the alternatives to Unit Conversion Nanoscale?

Skills that share tags, products or a category with Unit Conversion Nanoscale: Cantera Ignition Delay (K-Dense-AI/scientific-agent-skills, 48k stars), Astropy (zLanqing/codex-claude-academic-skills, 4.6k stars), Pymatgen (zLanqing/codex-claude-academic-skills, 4.6k stars) and Weather (trpc-group/trpc-agent-go, 1.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Unit Conversion Nanoscale?

InternScience (a GitHub organization) maintains it in InternScience/scp, which has 169 GitHub stars. The repository holds 73 skills in this directory. The repository was last updated on June 3, 2026.

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