physics-biological-cells

physics-biological-cells is a skill for Claude Code, Codex from hamzabellouch/agent-skills. It costs 36 tokens per session (314 once invoked), scanned A, original, MIT.

A learning guide to the physics of living cells. It covers random molecular motion, diffusion, water movement, cell membranes, and molecular motors.

In plain words
What is it for?
It is for estimating diffusion times, drag on proteins, osmotic pressure, and the mechanics of cell structures.
Why use it?
It helps apply physical laws at the tiny scales where thermal motion and fluid resistance strongly affect cells and molecules.

Skill for Claude CodeCodex

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

Good fit It is for estimating diffusion times, drag on proteins, osmotic pressure, and the mechanics of cell structures.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hamzabellouch/agent-skills/physics-biological-cells
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 hamzabellouch/agent-skills --skill physics-biological-cells
Clone the repo
git clone --depth 1 https://github.com/hamzabellouch/agent-skills

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 physics-biological-cells

README.md
[![agentmods](https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/physics-biological-cells/github.svg)](https://agentmods.dev/skills/hamzabellouch/agent-skills/physics-biological-cells)
Your own site
<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/physics-biological-cells"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/physics-biological-cells/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 physics-biological-cells

Your own site · 80×15
<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/physics-biological-cells"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/physics-biological-cells.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 314 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 $0.00036 $0.00314
Opus 5.5 $0.00014 $0.00126
Sonnet 5.5 $0.00007 $0.00063
Haiku 4.5 $0.00004 $0.00031

Measured 7d ago against content hash 0f1be5257b26, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

physics-biological-cells 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 7d 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.

Physics/Biophysics_and_Geophysical_Dynamics/physics-biological-cells/SKILL.md · 59 lines

What it actually says

Physics of Biological Cells

ID: bio.physics_cells
Domain: Interdisciplinary → Biophysics
Difficulty: 4/5

Prerequisites

  • mech.fluid.viscosity
  • stat.mech.boltzmann

Core Concepts

  • Brownian motion
  • diffusion
  • osmotic pressure
  • membrane mechanics
  • molecular motors

Key Equations

$$ \langle x^2\rangle = 2Dt $$ $$ D = \frac{k_BT}{6\pi\eta a} $$ $$ \Pi = cRT $$

Methods

  • Use the diffusion equation at cellular scales
  • Compute Stokes drag on proteins
  • Balance osmotic and mechanical pressures

Typical Problem Types

  • Diffusion time across a cell
  • Sedimentation of ribosomes
  • Vesicle mechanics

Common Pitfalls

  • Using macroscopic fluid intuition at molecular scales
  • Ignoring thermal fluctuations
  • stat.mech.fluctuations
  • mech.fluid.viscosity

References

  • Phillips et al. Physical Biology of the Cell
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago First seen · 59 lines · 36 tokens per session scan A 0f1be5257b26

Subscribe to this mod's changes

physics-biological-cells is a skill published in the GitHub repository hamzabellouch/agent-skills (8 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 314 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-10.

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