pymatgen
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
The two scanners disagree: Cisco found nothing and SkillSpector says do not install. One of them has a blind spot here; read the skill before trusting either. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Analyzes, validates, converts, and transforms materials structures and computed materials data with pymatgen. Use for local phase diagrams, symmetry sensitivity, electronic-structure I/O, and bounded Materials Project queries.
- Package
- 15 files, 173 KB
- SKILL.md
- 1984 words, 12+ sections
- Code
- Python (9)
- Allowed tools
ReadWriteBashGlobPython- License
- MIT
- Compatibility
- Python 3.11+ with uv. The verified snapshot uses pymatgen 2026.9.24, pymatgen-core 2026.9.23, and mp-api 0.46.5. Bundled help and planning CLIs use only the standard library; local scientific execution lazily requires the pinned pymatgen packages. Materials Project access additionally requires explicit network approval and the single named secret MP_API_KEY.
SKILL.md covers: pymatgen · Verified snapshot (2026-09-30) · Required workflow · Core objects · Safe local structure intake · Symmetry · Conversion and parser/writer I/O · Transformations and provenance · Local phase diagrams · Band structures, DOS, VASP, and Q-Chem · Materials Project: plan before network · Bundled CLIs
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 18 KB |
references/analysis_modules.md | doc | 11 KB |
references/core_classes.md | doc | 9.5 KB |
references/io_formats.md | doc | 12 KB |
references/materials_project_api.md | doc | 18 KB |
references/transformations_workflows.md | doc | 13 KB |
scripts/_common.py | script | 13 KB |
scripts/artifact_manifest.py | script | 5.5 KB |
scripts/composition_structure_validator.py | script | 11 KB |
scripts/io_conversion_plan.py | script | 6.8 KB |
scripts/mp_query.py | script | 15 KB |
scripts/phase_diagram_generator.py | script | 14 KB |
scripts/structure_analyzer.py | script | 11 KB |
scripts/structure_converter.py | script | 7.8 KB |
scripts/symmetry_sensitivity_report.py | script | 7.5 KB |
External hosts referenced
pymatgen.org docs.materialsproject.org github.com api.materialsproject.org materialsproject.org pypi.org arxiv.org doi.org export.arxiv.org materialsproject.github.io next-gen.materialsproject.org
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Environment variables referenced
MP_API_KEY
Package contents recorded 2026-10-22 at commit 593377bb0487. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/K-Dense-AI/scientific-agent-skills
- Raw scan result: skills-pymatgen-scan.json
- Badge for your README:
- Request a re-scan