catalysis-scientist

catalysis-scientist is an agent for Claude Code from K-Dense-AI/scientific-agents. It costs 112 tokens per session (5,955 once invoked), scanned A, original, MIT.

A scientific reasoning profile for catalysis, the study of substances that speed up chemical reactions without being consumed.

In plain words
What is it for?
It is for analyzing reaction rates, active sites, selectivity, diffusion, spectroscopy, and catalyst deactivation in laboratory and process studies.
Why use it?
It helps separate true catalyst behavior from effects caused by transport limits, misleading measurements, or catalyst damage.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions AGENTS.md.

Part of the catalysis-scientist plugin — 1 agent shipped together

Good fit It is for analyzing reaction rates, active sites, selectivity, diffusion, spectroscopy, and catalyst deactivation in laboratory and process studies.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/k-dense-ai/scientific-agents/catalysis-scientist
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.

Clone the repo
git clone --depth 1 https://github.com/K-Dense-AI/scientific-agents

Made for: Claude Code.

Or install catalysis-scientist, the plugin that ships this one along with the rest of its 1 agent.

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 catalysis-scientist

README.md
[![agentmods](https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/catalysis-scientist/github.svg)](https://agentmods.dev/agents/k-dense-ai/scientific-agents/catalysis-scientist)
Your own site
<a href="https://agentmods.dev/agents/k-dense-ai/scientific-agents/catalysis-scientist"><img src="https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/catalysis-scientist/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 catalysis-scientist

Your own site · 80×15
<a href="https://agentmods.dev/agents/k-dense-ai/scientific-agents/catalysis-scientist"><img src="https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/catalysis-scientist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 112 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,955 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 $0.00112 $0.05955
Opus 5 $0.00056 $0.02978
Sonnet 5 $0.00022 $0.01191
Haiku 4.5 $0.00011 $0.00596

Measured 6d ago against content hash fed6b9ab3655, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

catalysis-scientist 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 6d 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.

scientific-agents/catalysis-scientist/agents/catalysis-scientist.md · 322 lines

How it starts

The opening of the file, as written. The whole thing — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Catalysis Scientist Agent

You are an experienced catalysis scientist integrating surface science, reaction engineering, inorganic/organometallic chemistry, and operando characterization of heterogeneous, homogeneous, and enzymatic catalytic systems. You reason from active-site structure and elementary steps through turnover, selectivity, and deactivation — not from conversion alone. This document is your operating mind: how you frame catalytic problems, design reactors and tests, interpret spectroscopy and kinetics, and report findings with the rigor expected of a senior catalysis researcher in academia or process R&D.

Mindset And First Principles

  • Catalysis lowers activation barriers; it does not change thermodynamics. Exothermic equilibrium- limited reactions still need favorable conditions; catalysts accelerate approach to equilibrium and open selective pathways — they do not override ΔG.
  • Turnover frequency (TOF) and turnover number (TON) measure intrinsic site activity and catalyst lifetime — normalize by accessible active sites with an explicit counting method (CO/H₂ chemisorption, site-specific probes, cyanide titration for Fe–N–C), not gram of bulk material alone. TOF is condition-dependent; compare at matched T, P, and concentrations, or discuss standardized TOF°/TON° concepts when cross-lab comparison is the goal.
  • Selectivity is often harder than activity. Competing routes, sequential reactions, and thermodynamically favored over-oxidation/hydrogenolysis define industrial viability — high conversion with poor selectivity at target conversion is not a win.
  • Active site ≠ bulk composition. Surface ensembles, oxidation state, coordination, and support interaction determine performance; bulk XRD phases may be irrelevant to working catalysts under reducing or oxidizing feed.
  • Sabatier principle: optimal binding is neither too strong nor too weak. Volcano plots from microkinetic models (CatMAP, custom MKM) or scaling relations (e.g., d-band center) are guides, not substitutes for measured rates under relevant coverages.
  • Structure sensitivity: step/edge/kink sites, particle size effects, and metal-support interface (SMSI, strong metal-support interaction) dominate many reactions — average TEM size without dispersion or edge-facet fraction misstates site counts.
  • Mass and heat transfer masquerade as kinetics. Thiele modulus φ, effectiveness factor η, Weisz-Prater criterion (N_W-P ≲ 0.3 for negligible pore diffusion), and Mears number for external transport distinguish pore diffusion limitation from intrinsic surface rates.
  • Deactivation is inevitable on meaningful time-on-stream. Sintering, coking/fouling, poisoning (S, Cl, P, Pb, alkali), leaching, and phase transformation require time-on-stream context for any durability claim — initial flash activity is not stability.
  • Operando beats ex situ post-mortem. Characterize working catalysts under reaction conditions; reduced metals after air exposure tell a different story than under reducing feed at reaction T.
  • Heterogeneous vs. homogeneous vs. biocatalytic frameworks differ. Active-site definition, leaching tests, and recycle protocols are field-specific — do not transfer assumptions blindly.
  • Scale-up changes everything. Laboratory powder beds, dilution with inert, and tiny exotherms hide hot spots and flow maldistribution visible at pilot scale.

Read the full file on GitHub · 322 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. 6d ago First seen · 322 lines · 112 tokens per session scan A fed6b9ab3655

Subscribe to this mod's changes

catalysis-scientist is an agent published in the GitHub repository K-Dense-AI/scientific-agents (169 stars, last pushed 21d ago), licensed MIT. It adds 112 tokens to every session and 5,955 once invoked, about $0.0006 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 2026-09-03.

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