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.
npx skills add Zaoqu-Liu/ScienceClaw --skill rowangit clone --depth 1 https://github.com/Zaoqu-Liu/ScienceClawWrote 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.
[](https://agentmods.dev/skills/zaoqu-liu/scienceclaw/rowan)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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.
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
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.
- 8d ago First seen · 428 lines · 115 tokens per session scan A 9690cf9dbe3c
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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