Agent skill

Molecular Properties Calculation

by InternScience in InternScience/scp

Calculate basic molecular properties from SMILES including molecular weight, formula, atom counts, and exact mass.

MITAuto-check passedResearch & Science

Install Molecular Properties Calculation

skills CLI
$ npx skills add InternScience/scp --skill molecular-properties-calculation -a claude-code

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

GitHub CLI
$ gh skill install InternScience/scp molecular-properties-calculation --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/molecular-properties-calculation .claude/skills/molecular-properties-calculation && 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
molecular-properties-calculation
GitHub stars
169
Used in
1 other repo
Token cost
~1.7k tokens
SKILL.md length
370 words
Files
1
Skills in repo
73
Repo updated
First seen
Licence
MIT

At a glance

Calculate basic molecular properties from SMILES including molecular weight, formula, atom counts, and exact mass.

  • Works in 2 steps: MCP Server Definition → Molecular Properties Calculation Workflow
  • Tasks that involve Drug discovery and cheminformatics
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Molecular Properties Calculation is an agent skill from InternScience/scp. Calculate basic molecular properties from SMILES including molecular weight, formula, atom counts, and exact mass.

Its SKILL.md is about 1.7k 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 Drug discovery and cheminformatics. The licence is MIT.

When your agent uses it

  • Tasks that involve Drug discovery and cheminformatics

Example prompts

  • “/molecular-properties-calculation”

Requirements

  • Python 3

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. MCP Server Definition
  2. Molecular Properties Calculation Workflow

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

Molecular Properties Calculation loads about 1.7k tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 370 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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). 370 words, ~1,723 tokens.

Download SKILL.mdSave it as .claude/skills/molecular-properties-calculation/SKILL.md (or your agent's skills folder).
name
molecular-properties-calculation
description
Calculate basic molecular properties from SMILES including molecular weight, formula, atom counts, and exact mass.
license
MIT license
metadata.skill-author
PJLab

Molecular Properties Calculation

Usage

1. MCP Server Definition
python
import asyncio
import json
from fastmcp import Client
from fastmcp.client.transports import StreamableHttpTransport

class ChemicalToolsClient:
    """Chemical Tools MCP Client using FastMCP"""

    def __init__(self, server_url: str, headers: dict = None):
        self.server_url = server_url
        self.headers = headers or {}
        self.client = None

    async def connect(self):
        """Establish connection and initialize session"""
        print(f"Connecting to: {self.server_url}")
        try:
            transport = StreamableHttpTransport(
                url=self.server_url,
                headers=self.headers
            )

            self.client = Client(transport)
            await self.client.__aenter__()

            print(f"✓ connect success")
            return True

        except Exception as e:
            print(f"✗ connect failure: {e}")
            import traceback
            traceback.print_exc()
            return False

    async def disconnect(self):
        """Disconnect from server"""
        try:
            if self.client:
                await self.client.__aexit__(None, None, None)
            print("✓ already disconnect")
        except Exception as e:
            print(f"✗ disconnect error: {e}")

    def parse_result(self, result):
        """Parse MCP tool call result"""
        try:
            if hasattr(result, 'content') and result.content:
                content = result.content[0]
                if hasattr(content, 'text'):
                    try:
                        return json.loads(content.text)
                    except:
                        return content.text
            return str(result)
        except Exception as e:
            return {"error": f"parse error: {e}", "raw": str(result)}
2. Molecular Properties Calculation Workflow

This workflow calculates fundamental molecular properties from SMILES strings, useful for drug discovery, chemical analysis, and computational chemistry.

Workflow Steps:

  1. Calculate Molecular Weight - Compute average molecular weight
  2. Calculate Molecular Formula - Determine elemental composition
  3. Calculate Exact Molecular Weight - Compute monoisotopic mass
  4. Count Atoms - Determine total and heavy atom counts

Implementation:

python
## Initialize client
HEADERS = {"SCP-HUB-API-KEY": "<your-api-key>"}

client = ChemicalToolsClient(
    "https://scp.intern-ai.org.cn/api/v1/mcp/31/SciToolAgent-Chem",
    HEADERS
)

if not await client.connect():
    print("connection failed")
    exit()

## Input: SMILES string to analyze
smiles = "CCO"  # Ethanol
print(f"=== Molecular Properties for {smiles} ===\n")

## Step 1: Calculate molecular weight
print("Step 1: Molecular Weight")
result = await client.client.call_tool(
    "SMILESToWeight",
    arguments={"smiles": smiles}
)
result_data = client.parse_result(result)
print(f"{result_data}\n")

## Step 2: Calculate molecular formula
print("Step 2: Molecular Formula")
result = await client.client.call_tool(
    "GetMolFormula",
    arguments={"smiles": smiles}
)
result_data = client.parse_result(result)
print(f"{result_data}\n")

## Step 3: Calculate exact molecular weight
print("Step 3: Exact Molecular Weight")
result = await client.client.call_tool(
    "GetExactMolceularWeight",
    arguments={"smiles": smiles}
)
result_data = client.parse_result(result)
print(f"{result_data}\n")

## Step 4: Count atoms
print("Step 4: Atom Count")
result = await client.client.call_tool(
    "GetAtomsNum",
    arguments={"smiles": smiles}
)
result_data = client.parse_result(result)
print(f"{result_data}\n")

## Step 5: Count heavy atoms
print("Step 5: Heavy Atom Count")
result = await client.client.call_tool(
    "GetHeavyAtomsNum",
    arguments={"smiles": smiles}
)
result_data = client.parse_result(result)
print(f"{result_data}\n")

await client.disconnect()
Tool Descriptions

SciToolAgent-Chem Server:

  • SMILESToWeight: Calculate average molecular weight

    • Args: smiles (str) - SMILES string
    • Returns: Molecular weight in g/mol
  • GetMolFormula: Calculate molecular formula

    • Args: smiles (str) - SMILES string
    • Returns: Molecular formula (e.g., C₂H₆O)
  • GetExactMolceularWeight: Calculate exact (monoisotopic) molecular weight

    • Args: smiles (str) - SMILES string
    • Returns: Exact mass (most abundant isotope composition)
  • GetAtomsNum: Count total number of atoms

    • Args: smiles (str) - SMILES string
    • Returns: Total atom count (excluding hydrogens in implicit SMILES)
  • GetHeavyAtomsNum: Count heavy atoms (non-hydrogen)

    • Args: smiles (str) - SMILES string
    • Returns: Heavy atom count
Input/Output

Input:

  • smiles: Molecule in SMILES format (e.g., "CCO", "c1ccccc1", "CC(=O)O")

Output:

  • Molecular Weight: Average mass based on natural isotope abundances (g/mol or Da)
  • Molecular Formula: Elemental composition (CₓHᵧNᵢOⱼ...)
  • Exact Molecular Weight: Monoisotopic mass (most abundant isotope for each element)
  • Atom Count: Total number of atoms in the molecule
  • Heavy Atom Count: Number of non-hydrogen atoms
Use Cases
  • Drug-likeness assessment (molecular weight screening)
  • Mass spectrometry data interpretation
  • Stoichiometry calculations
  • Chemical database queries
  • Lipinski's Rule of Five evaluation
  • Compound library characterization
  • Quality control for chemical synthesis
Show full SKILL.md (134 more words)Show less
Molecular Weight Types
  • Average MW: Used for general calculations, based on natural isotope distribution
  • Exact MW: Used for mass spectrometry, based on most abundant isotopes
  • Difference: Minimal for small molecules, can be significant for large biomolecules

Example:

  • Ethanol (C₂H₆O): Average MW = 46.07 Da, Exact MW = 46.0418 Da
Additional Molecular Property Tools

The SciToolAgent-Chem server provides 160+ additional tools including:

  • GetRotatableBondsNum: Count rotatable bonds
  • GetHBDNum/GetHBANum: Hydrogen bond donors/acceptors
  • GetRingsNum: Count ring systems
  • GetTPSA: Calculate topological polar surface area (TPSA)
  • GetCrippenDescriptors: Calculate logP and molar refractivity
  • GetLipinskiHBDNum/GetLipinskiHBANum: Lipinski rule parameters
  • GetAromaticRingsNum: Count aromatic rings
  • GetFractionCSP3: Calculate fraction of sp³ carbons
Lipinski's Rule of Five

For drug-likeness, molecules should satisfy:

  1. Molecular weight ≤ 500 Da
  2. LogP ≤ 5
  3. Hydrogen bond donors ≤ 5
  4. Hydrogen bond acceptors ≤ 10

Use the property calculation tools to assess these criteria.

© 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/molecular-properties-calculation of InternScience/scp.

Open the folder on GitHubat commit cea5398

Used in 2 other repositories

We found 2 copies 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

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Questions about Molecular Properties Calculation

What does Molecular Properties Calculation do?

Calculate basic molecular properties from SMILES including molecular weight, formula, atom counts, and exact mass. Molecular Properties Calculation is an agent skill from InternScience/scp. Calculate basic molecular properties from SMILES including molecular weight, formula, atom counts, and exact mass.

When should I use Molecular Properties Calculation?

Molecular Properties Calculation fits situations like: tasks that involve Drug discovery and cheminformatics.

How do I install Molecular Properties Calculation in Claude Code?

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

How do I install Molecular Properties Calculation in Codex?

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

Can I use Molecular Properties Calculation 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 molecular-properties-calculation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/molecular-properties-calculation, .gemini/skills/molecular-properties-calculation, .github/skills/molecular-properties-calculation and .opencode/skills/molecular-properties-calculation in your project.

What does Molecular Properties Calculation need to run?

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

Does Molecular Properties Calculation 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 Molecular Properties Calculation 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 Molecular Properties Calculation use?

Molecular Properties Calculation 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 Molecular Properties Calculation use?

About 1.7k tokens (SKILL.md is roughly 6.9k 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 Molecular Properties Calculation?

Skills that share tags, products or a category with Molecular Properties Calculation: Molecode (AtomFlow-AI/MoleCode, 305 stars), Drug Discovery (Tommy-yw/RunbookHermes, 546 stars), DiffDock Molecular Docking (K-Dense-AI/scientific-agent-skills, 48k stars) and Biomedical Analysis Dispatch (xjtulyc/MedgeClaw, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Molecular Properties Calculation?

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.