TB2J

TB2J is a Chemistry & materials skill for AI agents, published by mailhexu in the TB2J repository on GitHub. Skillspace rates TB2J D (69/100) and it passed the safety scan; the rating is based on static analysis only.

Guide for using TB2J command-line tools to calculate magnetic interaction parameters (J, DMI, etc.) from DFT outputs (Wannier90, Siesta, Abacus). Use this skill when the user asks about running TB2J commands, their parameters, inputs, or outputs.

Grade
D
Quality
69 / 100
Safety
Passed
GitHub stars
100

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubmailhexu/TB2J

Our review

Architecture
91 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
BSD-2-Clause
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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