Skill audit report
Structure manipulation and crystal analysis workflows based on pymatgen. USE WHEN you need to read/write common atomistic formats (CIF, POSCAR, XYZ), build supercells, perform site substitution/doping, inspect symmetry (space group), or compute local structure descriptors for materials tasks.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
135 GitHub stars
Stars/forks activity
WARN57
135 stars, 27 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
14d since push
License clarity
PASS86
LGPL-3.0-or-later
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill pymatgen-structure
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/jinzhezenggroup/computational-chemistry-agent-skills/tree/master/data-processing/pymatgen-structure
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill pymatgen-structure
Repository
88
https://github.com/jinzhezenggroup/computational-chemistry-agent-skills/tree/master/data-processing/pymatgen-structure
License
86
LGPL-3.0-or-later
Maintenance
100
14d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
62
shell or command execution, filesystem or document access
Stars/forks activity
57
135 stars, 27 forks; issue activity unavailable in current metadata
Adoption
68
135 GitHub stars
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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