chempy

chempy is a skill for Claude Code from tondevrel/scientific-agent-skills. It costs 79 tokens per session (2,501 once invoked), scanned A, original, MIT.

A Python package for chemistry calculations, including chemical equations, reaction rates, equilibria, substances, and units. Chemical equilibria describe how substances distribute when a reaction settles into balance.

In plain words
What is it for?
Use it to balance reactions, simulate chemical kinetics, calculate pH and species distributions, handle units and constants, and represent reactions in LaTeX or HTML.
Why use it?
It reduces the manual work involved in balancing reactions and calculating how chemical systems change over time or reach equilibrium.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the scientific-agent-skills plugin — 55 skills, 2 commands, 1 MCP server shipped together

Good fit Use it to balance reactions, simulate chemical kinetics, calculate pH and species distributions, handle units and constants, and represent reactions in LaTeX or HTML.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tondevrel/scientific-agent-skills/chempy
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add tondevrel/scientific-agent-skills --skill chempy
Clone the repo
git clone --depth 1 https://github.com/tondevrel/scientific-agent-skills

Made for: Claude Code.

Or install scientific-agent-skills, the plugin that ships this one along with the rest of its 55 skills, 2 commands, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for chempy

README.md
[![agentmods](https://agentmods.dev/badge/skills/tondevrel/scientific-agent-skills/chempy/github.svg)](https://agentmods.dev/skills/tondevrel/scientific-agent-skills/chempy)
Your own site
<a href="https://agentmods.dev/skills/tondevrel/scientific-agent-skills/chempy"><img src="https://agentmods.dev/badge/skills/tondevrel/scientific-agent-skills/chempy/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for chempy

Your own site · 80×15
<a href="https://agentmods.dev/skills/tondevrel/scientific-agent-skills/chempy"><img src="https://agentmods.dev/badge/skills/tondevrel/scientific-agent-skills/chempy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,501 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00079 $0.02501
Opus 5 $0.00039 $0.01251
Sonnet 5 $0.00016 $0.00500
Haiku 4.5 $0.00008 $0.00250

Measured 11d ago against content hash 5d6337fd4b79, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

chempy scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/chempy/SKILL.md · 281 lines

How it starts

The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ChemPy - Physical and Analytical Chemistry

ChemPy provides a systematic way to handle chemical entities and reactions. It can automatically balance complex redox reactions, solve systems of ordinary differential equations (ODEs) for kinetics, and calculate species distribution in equilibria.

When to Use

  • Balancing chemical equations (including ionic and redox reactions).
  • Simulating chemical kinetics (concentration vs. time) using ODE solvers.
  • Calculating chemical equilibria and speciation (e.g., pH of a buffer).
  • Handling physical constants and units in chemical calculations.
  • Modeling ionic strength and activity coefficients (Debye-Hückel).
  • Parsing chemical formulas and calculating molar masses.
  • Generating LaTeX or HTML representations of chemical reactions.

Reference Documentation

Official docs: https://bjodah.github.io/chempy/
GitHub: https://github.com/bjodah/chempy
Search patterns: chempy.Reaction, chempy.ReactionSystem, chempy.balance_stoichiometry, chempy.kinetics

Core Principles

Chemical Entities

Represented as strings ('H2O', 'Fe+3') or Substance objects. ChemPy can parse these to determine composition and charge.

Reaction Systems

A collection of Reaction objects. This system can be converted into a mathematical model (ODE) where the rates are defined by mass-action kinetics or custom rate laws.

Units

ChemPy integrates with quantities or pint to ensure dimensional correctness, which is vital for calculating rates (e.g., M⁻¹s⁻¹).

Quick Reference

Installation

pip install chempy

Standard Imports

import numpy as np
import matplotlib.pyplot as plt
from chempy import Reaction, ReactionSystem, Substance
from chempy.util.parsing import formula_to_composition

Basic Pattern - Balancing a Reaction

from chempy import balance_stoichiometry

# 1. Define reactants and products
reac, prod = balance_stoichiometry({'H2', 'O2'}, {'H2O'})

# 2. Output coefficients
print(reac) # {'H2': 2, 'O2': 1}
print(prod) # {'H2O': 2}

Read the full file on GitHub · 281 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 281 lines · 79 tokens per session scan A 5d6337fd4b79

Subscribe to this mod's changes

chempy is a skill published in the GitHub repository tondevrel/scientific-agent-skills (21 stars, last pushed 7mo ago), licensed MIT. It adds 79 tokens to every session and 2,501 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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