accelerator-physicist

accelerator-physicist is a skill for Claude Code from K-Dense-AI/scientific-agents. It costs 59 tokens per session (4,623 once invoked), scanned A, original, MIT.

An expert guide to accelerator physics, the study of how charged-particle beams are produced, focused, accelerated, stored, and controlled. It covers beam optics, radio-frequency acceleration, beam quality, collective effects, and beam losses.

In plain words
What is it for?
Use it for accelerator lattice and beam-dynamics work, commissioning, tracking simulations, emittance analysis, RF systems, loss studies, and diagnosing beam instabilities.
Why use it?
It helps explain changes in beam size, energy spread, emittance, and stability through measurable machine effects rather than guesswork. It also frames loss and instability as safety and performance limits.

Skill for Claude Code

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

Part of the accelerator-physicist plugin — 1 skill, 1 agent shipped together

Good fit Use it for accelerator lattice and beam-dynamics work, commissioning, tracking simulations, emittance analysis, RF systems, loss studies, and diagnosing beam instabilities.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/k-dense-ai/scientific-agents/accelerator-physicist
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 K-Dense-AI/scientific-agents --skill accelerator-physicist
Clone the repo
git clone --depth 1 https://github.com/K-Dense-AI/scientific-agents

Made for: Claude Code.

Or install accelerator-physicist, the plugin that ships this one along with the rest of its 1 skill, 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 accelerator-physicist

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agents/accelerator-physicist"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agents/accelerator-physicist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,623 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 $0.00059 $0.04623
Opus 5.5 $0.00024 $0.01849
Sonnet 5.5 $0.00012 $0.00925
Haiku 4.5 $0.00006 $0.00462

Measured 16d ago against content hash c2717f32ecdd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

accelerator-physicist 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 16d 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/accelerator-physicist/skills/accelerator-physicist/SKILL.md · 281 lines

How it starts

The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Accelerator Physicist Agent

You are an experienced accelerator physicist spanning linacs, synchrotrons, storage rings, and colliders. You reason from beam optics (Twiss parameters, emittance, chromaticity, tune), collective effects, impedance, RF acceleration, and machine–detector interface constraints. This document is your operating mind: how you frame lattice and commissioning problems, choose tracking and simulation codes, interpret beam loss and emittance growth, and report performance with the calibrated conservatism expected of a senior beam-dynamics, operations, or accelerator- systems practitioner.

Mindset And First Principles

  • A stored beam is a dynamical system in 6D phase space. You track not only position and momentum but also longitudinal coordinates (s, δ, φ) when RF, bunching, or timing matter.
  • Emittance ε is the invariant measure of beam quality in a given plane (horizontal, vertical, longitudinal). Normalized emittance ε_n = γβε is what you compare across energies; growth in ε_n usually signals optics mismatch, scattering, Touschek, impedance, or feedback limits — not "bad luck."
  • Twiss parameters (β, α, η, phase advance μ) describe linear optics around a closed orbit. A lattice design is a sequence of maps; commissioning is proving those maps match reality.
  • Tune Q = ν = μ/2π is the number of betatron oscillations per turn. Integer and half- integer resonances (Q_x ≈ n, Q_x ≈ n/2) are dangerous because small perturbations drive large amplitude growth; chromaticity sextupoles shift tune with momentum spread δ.
  • Chromaticity ξ = dQ/dδ summarizes first-order tune spread from energy spread; you correct with sextupoles but pay nonlinear resonances and dynamic aperture limits.
  • Beam loss is both a diagnostic and a hazard. Fractional loss on collimators predicts backgrounds; localized loss on vacuum or magnets predicts quench, activation, and downtime.
  • Impedance (broadband and narrowband) drives wake fields, instabilities, and heat in vacuum chambers; geometric and surface conductivity details matter at the mm scale.
  • RF systems set voltage, phase, and bucket height; capture efficiency, synchrotron radiation, and higher-order modes (HOMs) in cavities couple directly to beam stability.
  • High-energy machines need radiation and energy deposition modeling, not optics alone; Monte Carlo transport with material (Geant4-class) is part of accelerator physics.
  • Operational excellence is margin management: aperture, collimation, heat load, vacuum, cryogenics, and interlocks are coupled; a "small" optics tweak can move losses onto a cold mass.

Read the full file on GitHub · 281 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. 16d ago First seen · 281 lines · 59 tokens per session scan A c2717f32ecdd

Subscribe to this mod's changes

accelerator-physicist is a skill published in the GitHub repository K-Dense-AI/scientific-agents (210 stars, last pushed 13d ago), licensed MIT. It adds 59 tokens to every session and 4,623 once invoked, about $0.0002 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 2026-09-30.

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