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 skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-pymatgengit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-SkillsWrote 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/alterlab-ieu/alterlab-academic-skills/alterlab-pymatgen)<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-pymatgen"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-pymatgen/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-pymatgen"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-pymatgen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 5.1 | $0.00112 | $0.01700 |
| Opus 5 | $0.00056 | $0.00850 |
| Sonnet 5 | $0.00022 | $0.00340 |
| Haiku 4.5 | $0.00011 | $0.00170 |
Grade A, and why
alterlab-pymatgen 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.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pymatgen - Python Materials Genomics
Overview
Pymatgen is a comprehensive Python library for materials analysis that powers the Materials Project. Create, analyze, and manipulate crystal structures and molecules; compute phase diagrams and thermodynamic properties; analyze electronic structure (band structures, DOS); generate surfaces and interfaces; and access the Materials Project database. Supports 100+ file formats from various computational codes.
When to Use This Skill
Use when:
- Working with crystal structures or molecular systems in materials science
- Converting between structure file formats (CIF, POSCAR, XYZ, etc.)
- Analyzing symmetry, space groups, or coordination environments
- Computing phase diagrams or assessing thermodynamic stability
- Analyzing electronic structure (band gaps, DOS, band structures)
- Generating surfaces/slabs or studying interfaces
- Accessing the Materials Project database programmatically
- Setting up high-throughput computational workflows
- Working with VASP, Gaussian, Quantum ESPRESSO, or other codes
Quick Start
uv pip install pymatgen # core
uv pip install pymatgen mp-api # + Materials Project API access
uv pip install pymatgen[analysis] # extended analysis tools
uv pip install pymatgen[vis] # visualization tools
from pymatgen.core import Structure, Lattice
struct = Structure.from_file("POSCAR") # auto format detection
struct.to(filename="structure.cif") # write any format
print(struct.composition.reduced_formula)
print(struct.get_space_group_info())
print(f"{struct.density:.2f} g/cm³")
export MP_API_KEY="your_api_key_here" # for Materials Project access
Core Capabilities (routing)
Each capability has a copy-paste code block in references/core_examples.md and deeper
module docs in the references listed below.
- Structure creation & manipulation — from files, from scratch (lattice params or
space group), transformations (supercell, substitution, primitive). →
core_classes.md - File-format conversion —
from_file()/to()plusscripts/structure_converter.pyfor single/batch. →io_formats.md - Structure analysis & symmetry —
SpacegroupAnalyzer,CrystalNN, plusscripts/structure_analyzer.py. →analysis_modules.md - Phase diagrams & thermodynamics —
PhaseDiagram, energy-above-hull, decomposition, plusscripts/phase_diagram_generator.py. →analysis_modules.md,transformations_workflows.md - Electronic structure — band structures and DOS from
Vasprun, band gaps, metallicity. →analysis_modules.md,io_formats.md - Surfaces & interfaces —
SlabGenerator,WulffShape,AdsorbateSiteFinder. →analysis_modules.md,transformations_workflows.md - Materials Project access —
MPRestersearch and retrieval with property filters. →materials_project_api.md - Computational workflow setup — VASP input sets (
MPRelaxSet,MPStaticSet,MPNonSCFSet), Gaussian, Quantum ESPRESSO. →io_formats.md,transformations_workflows.md - Advanced analysis — XRD patterns, elastic tensors, magnetic ordering.
→
analysis_modules.md
What ships with it
11 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.
- evals/evals.json 4.8 KB
- references/analysis_modules.md 13 KB
- references/common_workflows_code.md 1.8 KB
- references/core_classes.md 9.2 KB
- references/core_examples.md 8.6 KB
- references/io_formats.md 10 KB
- references/materials_project_api.md 13 KB
- references/transformations_workflows.md 16 KB
- scripts/phase_diagram_generator.py 7.2 KB runs code
- scripts/structure_analyzer.py 8.2 KB runs code
- scripts/structure_converter.py 5.1 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.
- 6d ago First seen · 146 lines · 112 tokens per session scan A a417f7a76ef2
alterlab-pymatgen is a skill published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (66 stars, last pushed 6d ago), licensed MIT. It adds 112 tokens to every session and 1,700 once invoked, about $0.0006 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 2026-09-05.
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