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 Zaoqu-Liu/ScienceClaw --skill materialsgit clone --depth 1 https://github.com/Zaoqu-Liu/ScienceClawWrote 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/zaoqu-liu/scienceclaw/materials)<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/materials"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/materials/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/zaoqu-liu/scienceclaw/materials"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/materials.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00000 | $0.00311 |
| Opus 5 | $0.00000 | $0.00156 |
| Sonnet 5 | $0.00000 | $0.00062 |
| Haiku 4.5 | $0.00000 | $0.00031 |
Grade A, and why
materials 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 7d 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.
What it actually says
Materials Science
Overview
Computational materials science, simulation, and property prediction.
Key Tools
- VASP: Density functional theory (DFT) calculations
- Gaussian: Quantum chemistry
- LAMMPS: Molecular dynamics
- Pymatgen: Python materials genomics
- ASE: Atomic simulation environment
- Materials Project API: Materials property database
Common Workflows
DFT Property Calculation
- Structure optimization (VASP/Gaussian)
- Electronic structure (band structure, DOS)
- Mechanical properties (elastic constants)
- Optical properties (dielectric function)
- Thermodynamic properties (phonon, free energy)
Materials Screening
- Query databases (Materials Project, AFLOW, OQMD)
- Filter by target properties
- DFT verification of candidates
- Experimental validation
Machine Learning for Materials
- Crystal graph neural networks (CGCNN, MEGNet)
- Composition-based models (Magpie, Roost)
- Active learning for experimental design
- Transfer learning from large pre-trained models
Databases
| Database | Content | Access |
|---|---|---|
| Materials Project | 150K+ inorganic materials | Free API |
| AFLOW | 3.5M+ material entries | Free API |
| ICSD | Crystal structures | Subscription |
| COD | Open crystal structures | Free |
| Citrination | Materials data platform | Free tier |
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.
- 7d ago First seen · 43 lines · 0 tokens per session scan A f0a398f5d653
materials is a skill published in the GitHub repository Zaoqu-Liu/ScienceClaw (60 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 311 tokens. 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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