mat-epw-mobility

mat-epw-mobility is a skill for Claude Code, Codex from learningmatter-mit/AtomisticSkills. It costs 41 tokens per session (4,128 once invoked), scanned A, original, MIT.

Compute phonon-limited carrier mobility and mode-resolved electron-phonon coupling in 2D materials from first principles with Quantum ESPRESSO and EPW.

Skill for Claude CodeCodex

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/learningmatter-mit/atomisticskills/mat-epw-mobility
Any agent
npx skills add learningmatter-mit/AtomisticSkills --skill mat-epw-mobility
Clone the repo
git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills

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 mat-epw-mobility

README.md
[![agentmods](https://agentmods.dev/badge/skills/learningmatter-mit/atomisticskills/mat-epw-mobility.svg)](https://agentmods.dev/skills/learningmatter-mit/atomisticskills/mat-epw-mobility)
Your own site
<a href="https://agentmods.dev/skills/learningmatter-mit/atomisticskills/mat-epw-mobility"><img src="https://agentmods.dev/badge/skills/learningmatter-mit/atomisticskills/mat-epw-mobility.svg" alt="Measured on agentmods" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,128 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 $0.00041 $0.04128
Opus 5 $0.00020 $0.02064
Sonnet 5 $0.00008 $0.00826
Haiku 4.5 $0.00004 $0.00413

Measured today against content hash a496fb66cbc7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mat-epw-mobility 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 today.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/compare_reference.py, scripts/gen_kpoints.py, scripts/parse_epw_prtgkk.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/mat-epw-mobility/SKILL.md · 286 lines

How it starts

The opening of the file, as written. The whole thing — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.

mat-epw-mobility

Goal

To compute the intrinsic phonon-limited carrier mobility $\mu(T)$ of a 2D semiconductor in the Self-Energy Relaxation Time Approximation (SERTA), together with the mode-resolved electron-phonon coupling matrix elements $|g(k, q, \nu)|$, from first principles using the Quantum ESPRESSO + EPW pipeline. The route interpolates the electron-phonon vertex onto dense fine grids via maximally localized Wannier functions and applies the 2D Frohlich long-range kernel needed for polar monolayers.

Background

Carrier mobility limited by phonon scattering requires the electron-phonon matrix elements $g_{mn\nu}(k, q)$ on grids far denser than any tractable DFPT calculation. EPW solves this by computing $g$ on a coarse q-grid with DFPT, transforming to a maximally localized Wannier basis, and interpolating to fine k/q meshes. For 2D polar materials, the long-range Frohlich part of $g$ diverges as $1/q$ near the zone centre and must be treated with a 2D-truncated Coulomb kernel (lpolar, system_2d), otherwise $\mu$ collapses by a factor of ~3.

Unlike the DFT+AMSET route in mat-dft-electronic-transport, which uses a momentum-relaxation-time approximation on VASP band structures, this skill computes the full first-principles electron-phonon vertex. It is complementary to mat-dft-electron-phonon (which targets temperature-dependent bandgap renormalization) and to mat-phonon (MLIP phonons).

The pipeline is a DAG. Steps 3 and 5 are optional (a standalone dielectric check and a DFPT $|g|$ benchmark); the transport path is 1 -> 2 -> 4 -> 6 -> 7 -> 9.

                       1 SCF
           +-------------+--------------+
           v             v              v
      3 DFPT-Gamma   4 DFPT          2 NSCF
      (eps_inf, Z*)  uniform-q       (explicit k)
      (optional)         |               |
                         v               |
                    6 pp.py gather       |
                         |    \          |
                         |     v         v
                         |   7 Wannierize
                         |     |     |
                         v     v     v
                    9 EPW    8 EPW  (8 also <- 5 DFPT single-q
                    SERTA    prtgkk      benchmark, optional)
                    mu(T)    |g|

Read the full file on GitHub · 286 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. today First seen · 286 lines · 41 tokens per session scan A a496fb66cbc7

Subscribe to this mod's changes

mat-epw-mobility is a skill published in the GitHub repository learningmatter-mit/AtomisticSkills (158 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 4,128 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 2026-09-03.

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