Install
$ agentstack add skill-chatmaterials-vasp-analysis-vasp-analysis ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
VASP Analysis
Use this skill for post-run VASP result analysis rather than workflow setup.
When to use
- analyze a completed or incomplete VASP run
- compare energies across multiple VASP directories
- summarize convergence, forces, or status from
OUTCARandOSZICAR - write a compact status or comparison report from existing results
Use the bundled helpers
scripts/analyze_vasp_result.py
Summarize a single VASP result directory.
scripts/compare_vasp_results.py
Compare multiple VASP result directories by energy and status.
scripts/structure_change_vasp.py
Compare two VASP structures and summarize lattice or coordinate changes.
scripts/analyze_vasp_dos.py
Extract DOS-oriented summary data from DOSCAR.
scripts/analyze_vasp_band.py
Extract band-gap-oriented summary data from EIGENVAL.
scripts/analyze_vasp_magnetism.py
Extract total and local magnetic moments from OUTCAR.
scripts/analyze_vasp_voltage.py
Estimate an average insertion voltage from two VASP states.
scripts/analyze_vasp_neb.py
Estimate a simple NEB barrier from numbered VASP image directories.
scripts/export_analysis_report.py
Export a markdown analysis report from a VASP result directory.
Guardrails
- Do not claim a scientific conclusion from an incomplete or unconverged run.
- Distinguish raw extraction from interpretation.
- If directories are not numerically comparable, say so plainly.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: chatmaterials
- Source: chatmaterials/vasp-analysis
- License: MIT
- Homepage: https://chatmaterials.github.io/#vasp-analysis
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.