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-raman-spectranpx skills add learningmatter-mit/AtomisticSkills --skill mat-raman-spectragit 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-raman-spectra)<a href="https://agentmods.dev/skills/learningmatter-mit/atomisticskills/mat-raman-spectra"><img src="https://agentmods.dev/badge/skills/learningmatter-mit/atomisticskills/mat-raman-spectra.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 | $0.00042 | $0.02182 |
| Opus 5 | $0.00021 | $0.01091 |
| Sonnet 5 | $0.00008 | $0.00436 |
| Haiku 4.5 | $0.00004 | $0.00218 |
Grade A, and why
mat-raman-spectra 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 yesterday.
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 — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Raman Spectra Calculation
Goal
To calculate the Raman spectrum of a crystalline material by:
- Identifying Raman-active phonon modes via group-theory symmetry analysis of Γ-point phonons (MLIP-only path)
- Optionally computing full Raman scattering intensities using DFT-level Born effective charges and dielectric tensors (DFT path)
Physical background: Raman scattering intensity of mode $\nu$ is proportional to $|(\hat{e}i \cdot \alpha\nu \cdot \hat{e}s)|^2$, where $\alpha\nu = d\boldsymbol{\alpha}/dQ_\nu$ is the Raman tensor (derivative of polarizability with respect to mode coordinate $Q_\nu$). Computing $\alpha_\nu$ requires DFT-level dielectric calculations; phonon frequencies alone can be obtained with MLIPs.
[!IMPORTANT] Two-tier approach:
- MLIP tier (Step 1–3): Predicts Raman peak positions (frequencies). Intensities are set equal as a placeholder. Sufficient for peak assignment and comparison with experiment when known structure is available.
- DFT tier (Step 4): Computes actual Raman intensities via Born charges and dielectric tensor from VASP DFPT. Required for quantitative intensity matching.
Prerequisites
- Pymatgen, phonopy installed in
base-agent(for symmetry analysis and plotting) - MLIP environment (
mace-agent,matgl-agent, orfairchem-agent) for phonon calculation
Instructions
1. Relax Structure
Before computing phonons, ensure the structure is fully relaxed. Use the MCP tool for your chosen MLIP:
# Env: mace-agent
mcp_mace_load_model(model_name="MACE-MH-1")
mcp_mace_relax_structure(
structure_data="input_structure.cif",
relax_cell=True,
fmax=0.001, # tight convergence for phonons
output_dir="relaxation/"
)
[!IMPORTANT] Use a tight force convergence (
fmax ≤ 0.001 eV/Å) for phonon calculations. Poorly relaxed structures produce imaginary frequencies that indicate a false structural instability.
2. Calculate Phonons (MLIP)
Use the mat-phonon skill to compute Γ-point phonons. The output phonon.yaml is the required input for this skill.
What ships with it
6 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.
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.
- yesterday First seen · 179 lines · 42 tokens per session scan A 6c59339e20ee
mat-raman-spectra is a skill published in the GitHub repository learningmatter-mit/AtomisticSkills (158 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 2,182 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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