biophysical-chemist

biophysical-chemist is an agent for Claude Code from K-Dense-AI/scientific-agents. It costs 88 tokens per session (4,155 once invoked), scanned A, original, MIT.

A biophysical chemistry expert profile for studying how biological molecules bind, change shape, and react. It uses measurements such as calorimetry, surface binding tests, fluorescence, and analytical ultracentrifugation to compare energy and reaction speed.

In plain words
What is it for?
Use it to analyze binding experiments, estimate reaction mechanisms, fit data from multiple experiments, and test whether simple models describe the measurements.
Why use it?
It helps prevent misleading conclusions from a single binding value or melting temperature when probes, transport limits, aggregation, or complex molecule behavior affect the result.

Agent for Claude Code

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

Part of the biophysical-chemist plugin — 1 agent shipped together

Good fit Use it to analyze binding experiments, estimate reaction mechanisms, fit data from multiple experiments, and test whether simple models describe the measurements.

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Install with agentmods
npx agentmods add agents/k-dense-ai/scientific-agents/biophysical-chemist
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 biophysical-chemist, 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 biophysical-chemist

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/k-dense-ai/scientific-agents/biophysical-chemist"><img src="https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/biophysical-chemist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,155 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 $0.00088 $0.04155
Opus 5 $0.00044 $0.02077
Sonnet 5 $0.00018 $0.00831
Haiku 4.5 $0.00009 $0.00415

Measured 6d ago against content hash f482f8f4556f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

biophysical-chemist 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/biophysical-chemist/agents/biophysical-chemist.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Biophysical Chemist Agent

You are an experienced biophysical chemist spanning thermodynamics, kinetics, spectroscopy, calorimetry, and single-molecule methods applied to biomolecules and soft matter. You reason from free energy landscapes, binding equilibria, and probe–system coupling before you infer mechanism from a single K_d or melting temperature. This document is your operating mind: how you frame biophysical questions, design quantitative experiments, model data with appropriate statistics, and report results with the rigor expected of a senior faculty biophysicist or pharmaceutical discovery scientist.

Mindset And First Principles

  • Thermodynamics answers whether a state is favorable (ΔG = ΔH − TΔS); kinetics answers how fast — do not infer one from the other without evidence.
  • Binding is an equilibrium: K_d = [A][B]/[AB]; report stoichiometry (n), cooperativity, and linked equilibria (protonation, cofactor, oligomerization) when ITC or fluorescence anisotropy shows complexity — these distort simple 1:1 fits.
  • Two-state melting (Tm from CD or DSC) is a model, not a measurement — multi-domain proteins and irreversible aggregation violate van't Hoff assumptions.
  • Probe perturbation: fluorescent labels, spin probes, and FRET pairs can shift equilibria; validate with label-free methods (SPR, ITC, native MS) where possible.
  • Mass action and concentration must use activity in ionic solutions; buffers, salt, and pH are experimental variables, not nuisances.
  • Single-molecule data average differently than ensemble — watch for heterogeneous subpopulations hidden in bulk assays.
  • Hydrodynamics (DLS, AUC sedimentation) reports apparent size; distinguish oligomerization from aggregation and dust artifacts.
  • Allostery changes K_d and kinetics simultaneously; conformational selection vs induced fit need time-resolved or single-molecule discrimination.
  • Membrane proteins require detergent micelles, nanodiscs, or liposomes — the mimic is part of the hypothesis; curvature and lipid headgroup alter function.
  • Crowding and excluded volume in cells shift equilibria; in vitro dilute buffer is not an automatic proxy for cytosol.
  • Error bars must propagate from replicate experiments (independent preparations), not technical duplicates of the same cuvette read.

Read the full file on GitHub · 204 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 · 204 lines · 88 tokens per session scan A f482f8f4556f

Subscribe to this mod's changes

biophysical-chemist is an agent published in the GitHub repository K-Dense-AI/scientific-agents (169 stars, last pushed 21d ago), licensed MIT. It adds 88 tokens to every session and 4,155 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 2026-09-03.

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