pyscf

pyscf is a skill for Claude Code from tondevrel/scientific-agent-skills. It costs 61 tokens per session (9,781 once invoked), scanned A, original, MIT.

A guide to PySCF, a Python library for calculating how electrons behave in molecules and materials. It covers methods such as Hartree–Fock, DFT, MP2, and coupled-cluster calculations.

In plain words
What is it for?
Use it to calculate molecular energies and properties, optimize molecular shapes, study excited states, analyze orbitals, simulate solids and surfaces, and connect calculations with machine-learning workflows.
Why use it?
It helps you set up and interpret quantum-chemistry calculations without searching through the library documentation for every task. It brings common calculations and analysis steps into one reference.

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 calculate molecular energies and properties, optimize molecular shapes, study excited states, analyze orbitals, simulate solids and surfaces, and connect calculations with machine-learning workflows.

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

README.md
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Your own site
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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 pyscf

Your own site · 80×15
<a href="https://agentmods.dev/skills/tondevrel/scientific-agent-skills/pyscf"><img src="https://agentmods.dev/badge/skills/tondevrel/scientific-agent-skills/pyscf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,781 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 $0.00061 $0.09781
Opus 5 $0.00030 $0.04890
Sonnet 5 $0.00012 $0.01956
Haiku 4.5 $0.00006 $0.00978

Measured 10d ago against content hash 6495bc470bc9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

pyscf 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 10d 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/pyscf/SKILL.md · 1,387 lines

How it starts

The opening of the file, as written. The whole thing — 1,387 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PySCF - Quantum Chemistry Framework

Python library for ab initio electronic structure calculations and quantum chemistry.

When to Use

  • Running Hartree-Fock (HF) and Density Functional Theory (DFT) calculations
  • Calculating molecular energies and gradients
  • Optimizing molecular geometries
  • Computing post-HF methods (MP2, CCSD, CI, coupled-cluster)
  • Analyzing molecular orbitals and electron density
  • Calculating excited states (TD-DFT, CI, EOM-CCSD)
  • Computing molecular properties (dipole, charges, NMR, IR)
  • Performing periodic calculations (solids, surfaces)
  • Benchmarking quantum chemistry methods
  • Integrating quantum calculations with ML/AI workflows

Reference Documentation

Official docs: https://pyscf.org/
Search patterns: gto.M, scf.RHF, dft.RKS, mp.MP2, optimize, tddft.TDDFT

Core Principles

Use PySCF For

Task Module Example
Build molecule gto gto.M(atom='H 0 0 0; H 0 0 1')
Hartree-Fock scf scf.RHF(mol).run()
DFT calculation dft dft.RKS(mol, xc='B3LYP')
MP2 correlation mp mp.MP2(mf).run()
Coupled-cluster cc cc.CCSD(mf).run()
Geometry optimization geomopt optimize(mf)
Excited states tddft tddft.TDDFT(mf).run()
Periodic systems pbc pbc.gto.Cell()

Do NOT Use For

  • Molecular dynamics simulations (use GROMACS, OpenMM, ASE)
  • Very large systems (>1000 atoms) - use semi-empirical or force fields
  • Interactive visualization (use PyMOL, VMD)
  • High-throughput virtual screening (too slow)
  • Real-time quantum simulations

Quick Reference

Installation

# pip (recommended)
pip install pyscf

# With extensions
pip install pyscf[geomopt,dftd3,dmrgscf]

# From conda
conda install -c pyscf pyscf

# Development version
pip install git+https://github.com/pyscf/pyscf

Standard Imports

# Core modules
from pyscf import gto, scf, dft
from pyscf import mp, cc, ci
from pyscf import grad, geomopt
from pyscf import tddft, tdscf
from pyscf import lo, ao2mo

# Tools
from pyscf.tools import molden, cubegen
import numpy as np

Read the full file on GitHub · 1,387 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. 10d ago First seen · 1,387 lines · 61 tokens per session scan A 6495bc470bc9

Subscribe to this mod's changes

pyscf is a skill published in the GitHub repository tondevrel/scientific-agent-skills (21 stars, last pushed 7mo ago), licensed MIT. It adds 61 tokens to every session and 9,781 once invoked, about $0.0003 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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