mat-dielectric-response

mat-dielectric-response is a skill for Claude Code, Codex from learningmatter-mit/AtomisticSkills. It costs 22 tokens per session (1,283 once invoked), scanned A, original, MIT.

Calculate frequency-dependent dielectric response using atomate2 OpticsMaker and VASP.

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

Made for: Claude Code, Codex.

Wrote this? Show the measurements

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agentmods badge for mat-dielectric-response

README.md
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<a href="https://agentmods.dev/skills/learningmatter-mit/atomisticskills/mat-dielectric-response"><img src="https://agentmods.dev/badge/skills/learningmatter-mit/atomisticskills/mat-dielectric-response.svg" alt="Measured on agentmods" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,283 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 $0.00022 $0.01283
Opus 5 $0.00011 $0.00642
Sonnet 5 $0.00004 $0.00257
Haiku 4.5 $0.00002 $0.00128

Measured today against content hash 9e1b6963cdc0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mat-dielectric-response 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 1 executable file (scripts/plot_dielectric.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-dielectric-response/SKILL.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dielectric Response

Goal

To calculate the frequency-dependent dielectric response of a crystalline material using atomate2's OpticsMaker and VASP. This includes:

  • The independent-particle real and imaginary dielectric functions
  • Optical spectra written by the VASP optics workflow
  • Post-processing and visualization of the dielectric response

This skill is based on atomate2's optics workflow, which is a flow maker analogous to the band structure workflow.

Instructions

1. Obtain or Prepare the Input Structure

Start with a well-relaxed crystalline structure in CIF or POSCAR format. You can:

[!IMPORTANT] The optics workflow assumes a good relaxed bulk structure. Relax the structure first if needed; poor structures will give unreliable optical spectra.

2. Run the Optics Workflow

Use the atomate2 MCP tool with calculation_type="optics":

mcp_atomate2_run_atomate2_vasp_calculation(
    structures_path="structure.cif",        # Input structure file
    output_dir="./optics_results",          # Output directory
    calculation_type="optics",              # Atomate2 optics workflow
    preset_type="omat",                     # VASP preset (omat, mp, matpes-pbe, matpes-r2scan)
    execution_mode="remote",                # "local" or "remote"
    remote_settings={                       # Required for remote execution
        "project": "remote_perlmutter",
        "worker": "perlmutter_worker"
    }
)

The workflow automatically:

  1. Runs a static calculation to obtain the charge density
  2. Runs the optics calculation to compute the dielectric spectrum

If you need to tune optics settings such as NBANDS, NEDOS, or CSHIFT, pass them through config:

mcp_atomate2_run_atomate2_vasp_calculation(
    structures_path="structure.cif",
    output_dir="./optics_results",
    calculation_type="optics",
    preset_type="omat",
    config={
        "NBANDS": 64,
        "NEDOS": 2000,
        "CSHIFT": 0.1,
    },
    execution_mode="local"
)

Read the full file on GitHub · 164 lines

Files

What ships with it

3 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.

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 · 164 lines · 22 tokens per session scan A 9e1b6963cdc0

Subscribe to this mod's changes

mat-dielectric-response is a skill published in the GitHub repository learningmatter-mit/AtomisticSkills (158 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 1,283 once invoked, about $0.0001 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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