mxl-laser-driven

mxl-laser-driven is a skill for Claude Code, Codex from TaoELi/FermiLink. It costs 33 tokens per session (201 once invoked), scanned A, original, AGPL-3.0.

A MaxwellLink simulation workflow for laser-driven, or prescribed-field, simulations. MaxwellLink is software for electromagnetic simulations, and prescribed-field simulations use a specified laser pulse rather than calculating that field dynamically.

In plain words
What is it for?
It helps set up laser pulses and apply the required coupling-axis conventions in MaxwellLink simulations.
Why use it?
The input does not provide enough detail to describe a specific problem it removes.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

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.

agentmods
npx agentmods add skills/taoeli/fermilink/mxl-laser-driven
Any agent
npx skills add TaoELi/FermiLink --skill mxl-laser-driven
Clone the repo
git clone --depth 1 https://github.com/TaoELi/FermiLink

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 mxl-laser-driven

README.md
[![agentmods](https://agentmods.dev/badge/skills/taoeli/fermilink/mxl-laser-driven.svg)](https://agentmods.dev/skills/taoeli/fermilink/mxl-laser-driven)
Your own site
<a href="https://agentmods.dev/skills/taoeli/fermilink/mxl-laser-driven"><img src="https://agentmods.dev/badge/skills/taoeli/fermilink/mxl-laser-driven.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 201 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00033 $0.00201
Opus 5 $0.00016 $0.00101
Sonnet 5 $0.00007 $0.00040
Haiku 4.5 $0.00003 $0.00020

Measured 6d ago against content hash b35b72563e62, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

mxl-laser-driven 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.

src/fermilink/tools/sci-skills-generator/assets/maxwelllink-skills-template/skills/mxl-laser-driven/SKILL.md · 22 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 6d ago First seen · 22 lines · 33 tokens per session scan A b35b72563e62

Subscribe to this mod's changes

mxl-laser-driven is a skill published in the GitHub repository TaoELi/FermiLink (10 stars, last pushed 4d ago), licensed AGPL-3.0. It adds 33 tokens to every session and 201 once invoked, about $0.0002 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 2026-08-31.

Related

Other skills, from other repositories

julia-expert

Expert knowledge in Julia scientific computing, multiple dispatch, performance optimization, and numerical analysis. Use when the user mentions scientific computing, multiple dispatch, performance, numerical analysis, data science, or HPC, or when the task involves Type System, Array Programming, Installation and…

personamanagmentlayer/pcl · 64 tokens

multi-objective-optimization

Pareto-aware molecular design balancing multiple ADMET properties simultaneously. Based on MultiMol (Yu 2025) and MOLLM (Ran 2025).

synthetic-sciences/openscience · 37 tokens

ml-training-recipes

Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics. Covers training loops, optimizer selection (AdamW, Muon), LR scheduling, mixed precision, debugging, and systematic experimentation. Use when training or fine-tuning…

Orchestra-Research/AI-Research-SKILLs · 88 tokens

social-physics-filter

Unified boundary enforcement, interpersonal diagnostic, and relational audit engine. Absorbs 40 psychology + 2 social protocols and all relationship case studies.

winstonkoh87/Athena-Public · 34 tokens

cuopt-developer

Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI). Use for solver internals, PRs, DCO, and code conventions.

NVIDIA/cuopt · 47 tokens

cuopt-user-rules

Base rules for end users calling NVIDIA cuOpt (routing/LP/MILP/QP/install/server). Not for cuOpt internals — use cuopt-developer for those.

NVIDIA/cuopt · 42 tokens