using-qmbcertify

using-qmbcertify is a Physics, mathematics & simulation skill for AI agents, published by QuantumBFS in the quantum.harness repository on GitHub. Skillspace rates using-qmbcertify C (74/100) and it passed the safety scan; the rating is based on static analysis only.

Use when choosing or running QMBCertify.jl — the dedicated structured-NPA certifier for ground-state properties of 1D/2D (J1-J2) Heisenberg spin models, producing numeric certified lower/upper bounds on energy, correlations, structure factors, and partition functions via a Mosek SDP, with Gram-matrix export feeding an exact rational post-certification step (1D chains) — or for QMBCertify setup failures. One of the two step-2 handoff targets from /method-polyopt (the structure-exploiting one).

Grade
C
Quality
74 / 100
Safety
Passed
GitHub stars
35

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

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

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

View source on GitHubQuantumBFS/quantum.harness

Our review

Architecture
100 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Category is a classifier prediction; no model has read this skill 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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