rowan

rowan is a skill for Claude Code, Codex from Zaoqu-Liu/ScienceClaw. It costs 115 tokens per session (3,227 once invoked), scanned A, a copy of rowan, MIT.

A cloud service with a Python API for running computational chemistry calculations and molecular simulations. It covers tasks such as predicting molecular properties, optimizing structures, docking proteins and molecules, and modeling protein interactions.

In plain words
What is it for?
Use it for pKa, redox, solubility, and toxicity predictions; geometry optimization; conformer searches; protein-ligand docking; and protein cofolding.
Why use it?
It lets researchers run chemistry workflows without managing local computing resources or several separate chemistry programs.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for pKa, redox, solubility, and toxicity predictions; geometry optimization; conformer searches; protein-ligand docking; and protein cofolding.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zaoqu-liu/scienceclaw/rowan
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 Zaoqu-Liu/ScienceClaw --skill rowan
Clone the repo
git clone --depth 1 https://github.com/Zaoqu-Liu/ScienceClaw

Made for: Claude Code, Codex.

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 rowan

README.md
[![agentmods](https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/rowan/github.svg)](https://agentmods.dev/skills/zaoqu-liu/scienceclaw/rowan)
Your own site
<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/rowan"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/rowan/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 rowan

Your own site · 80×15
<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/rowan"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/rowan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 115 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,227 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 100% copy Near-identical to another mod 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 $0.00115 $0.03227
Opus 5 $0.00057 $0.01614
Sonnet 5 $0.00023 $0.00645
Haiku 4.5 $0.00012 $0.00323

Measured 8d ago against content hash 9690cf9dbe3c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

rowan 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 8d 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.

Origin

This is a copy

100% identical to rowan — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/rowan/SKILL.md · 428 lines

How it starts

The opening of the file, as written. The whole thing — 428 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Rowan: Cloud-Based Quantum Chemistry Platform

Overview

Rowan is a cloud-based computational chemistry platform that provides programmatic access to quantum chemistry workflows through a Python API. It enables automation of complex molecular simulations without requiring local computational resources or expertise in multiple quantum chemistry packages.

Key Capabilities:

  • Molecular property prediction (pKa, redox potential, solubility, ADMET-Tox)
  • Geometry optimization and conformer searching
  • Protein-ligand docking with AutoDock Vina
  • AI-powered protein cofolding with Chai-1 and Boltz models
  • Access to DFT, semiempirical, and neural network potential methods
  • Cloud compute with automatic resource allocation

Why Rowan:

  • No local compute cluster required
  • Unified API for dozens of computational methods
  • Results viewable in web interface at labs.rowansci.com
  • Automatic resource scaling

Installation and Authentication

Installation

uv pip install rowan-python

Authentication

Generate an API key at labs.rowansci.com/account/api-keys.

Option 1: Direct assignment

import rowan
rowan.api_key = "your_api_key_here"

Option 2: Environment variable (recommended)

export ROWAN_API_KEY="your_api_key_here"

The API key is automatically read from ROWAN_API_KEY on module import.

Verify Setup

import rowan

# Check authentication
user = rowan.whoami()
print(f"Logged in as: {user.username}")
print(f"Credits available: {user.credits}")

Core Workflows

1. pKa Prediction

Calculate the acid dissociation constant for molecules:

import rowan
import stjames

# Create molecule from SMILES
mol = stjames.Molecule.from_smiles("c1ccccc1O")  # Phenol

# Submit pKa workflow
workflow = rowan.submit_pka_workflow(
    initial_molecule=mol,
    name="phenol pKa calculation"
)

# Wait for completion
workflow.wait_for_result()
workflow.fetch_latest(in_place=True)

# Access results
print(f"Strongest acid pKa: {workflow.data['strongest_acid']}")  # ~10.17

Read the full file on GitHub · 428 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. 8d ago First seen · 428 lines · 115 tokens per session scan A 9690cf9dbe3c

Subscribe to this mod's changes

rowan is a skill published in the GitHub repository Zaoqu-Liu/ScienceClaw (60 stars, last pushed 5mo ago), licensed MIT. It adds 115 tokens to every session and 3,227 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to rowan, differing in 0 lines, and is treated as a copy.

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