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.
npx agentmods add skills/learningmatter-mit/atomisticskills/mat-edi-mobilitynpx skills add learningmatter-mit/AtomisticSkills --skill mat-edi-mobilitygit clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkillsWrote 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.
[](https://agentmods.dev/skills/learningmatter-mit/atomisticskills/mat-edi-mobility)<a href="https://agentmods.dev/skills/learningmatter-mit/atomisticskills/mat-edi-mobility"><img src="https://agentmods.dev/badge/skills/learningmatter-mit/atomisticskills/mat-edi-mobility.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00045 | $0.05565 |
| Opus 5 | $0.00023 | $0.02782 |
| Sonnet 5 | $0.00009 | $0.01113 |
| Haiku 4.5 | $0.00005 | $0.00556 |
Grade A, and why
mat-edi-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.
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.
How it starts
The opening of the file, as written. The whole thing — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mat-edi-mobility
Goal
To compute the point-defect-limited carrier mobility $\mu(T)$ of a semiconductor and the underlying electron-defect scattering matrix elements $M(\mathbf{k}i, \mathbf{k}f) = \langle \psi{\mathbf{k}i} | \Delta V | \psi{\mathbf{k}f} \rangle$ from first principles, using the supercell difference-potential method of the Quantum ESPRESSO + EDI pipeline. Here $\Delta V = V{\text{defect}} - V{\text{pristine}}$ is the Kohn-Sham perturbation potential of an isolated point defect, extracted as the difference between the potentials of a defect-containing supercell and a pristine supercell. The matrix elements are computed on a coarse k-grid, transformed to a maximally localized Wannier basis $M(\mathbf{R}, \mathbf{R}')$, and interpolated onto dense fine grids. The state-resolved scattering rate follows from Fermi's golden rule,
$$\frac{1}{\tau_{n\mathbf{k}}} = \frac{2\pi}{\hbar}, n_{\text{d}}, \frac{1}{N_{\mathbf{k}}} \sum_{m,\mathbf{k}'} |M_{n\mathbf{k}, m\mathbf{k}'}|^2, \delta(\varepsilon_{n\mathbf{k}} - \varepsilon_{m\mathbf{k}'}),$$
and the mobility from the linearized Boltzmann transport equation in the self-energy (SERTA) and momentum (MRTA) relaxation-time approximations. The three first-class outputs are the direct matrix elements $M$ on the coarse grid, the Wannier-interpolated $M$ on a fine k-path, and the final mobility $\mu(T)$.
Background
Defect-limited transport requires $M(\mathbf{k}i, \mathbf{k}f)$ on k-grids far
denser than any tractable supercell calculation can supply. EDI solves this the
way EPW solves the electron-phonon problem: compute $M$ directly on a coarse grid
commensurate with the supercell, rotate into a Wannier basis where
$M(\mathbf{R}, \mathbf{R}')$ decays rapidly with $|\mathbf{R}|$ and $|\mathbf{R}'|$,
and interpolate to $300\times300$ or denser at negligible cost. The scattering
rate scales linearly with the defect concentration $n{\text{d}}$ (dilute,
incoherent-defect limit), so **the mobility scales as $1/n{\text{d}}$ and the
concentration must always be reported alongside $\mu$**. For 2D materials the
pristine and defect supercells are computed independently, so their electrostatic
potentials carry an arbitrary offset that must be removed by vacuum-level
alignment (pot_align = 'vacuum').
What ships with it
19 files 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.
- examples/mos2-s-vacancy/mos2_monolayer.cif 748 B
- examples/mos2-s-vacancy/README.md 9.0 KB
- examples/mos2-s-vacancy/reference_mos2_transport.dat 585 B
- resources/inputs/edi_direct.in 1.7 KB
- resources/inputs/edi_setup.in 1.7 KB
- resources/inputs/edi_transport.in 1.7 KB
- resources/inputs/extract_pot.in 351 B
- resources/inputs/kf.dat 14 KB
- resources/inputs/ki.dat 50 B
- resources/inputs/nscf_primitive.in 11 KB
- resources/inputs/scf_defect_super.in 6.0 KB
- resources/inputs/scf_primitive.in 1.1 KB
- resources/inputs/scf_pristine_super.in 6.0 KB
- scripts/compare_edmat.py 8.2 KB runs code
- scripts/compare_reference.py 4.4 KB runs code
- scripts/gen_kgrid.py 3.1 KB runs code
- scripts/parse_edmat.py 5.9 KB runs code
- scripts/parse_inv_tau.py 3.5 KB runs code
- scripts/parse_transport.py 3.2 KB runs code
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.
- today First seen · 350 lines · 45 tokens per session scan A c64cad29a814
mat-edi-mobility is a skill published in the GitHub repository learningmatter-mit/AtomisticSkills (158 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 5,565 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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