Theme-level skill for superconductivity analysis, including electron-phonon coupling, phonons, and Tc estimates.
SaferSkills independently audited superconductivity-analysis (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Use this skill for superconductivity-oriented post-processing rather than generic workflow setup.
alpha^2F-like spectrumlambda and omega_logTcmu*scripts/analyze_alpha2f.pyEstimate lambda and omega_log from an alpha^2F spectrum.
scripts/analyze_phonon_modes.pySummarize phonon-mode stability and soft-mode counts.
scripts/estimate_tc.pyEstimate Tc from lambda, omega_log, and mu*.
scripts/analyze_tc_sensitivity.pySweep Tc over a range of mu* values and summarize robustness.
scripts/compare_superconducting_candidates.pyRank multiple superconducting candidates with a compact Tc-plus-stability heuristic.
scripts/export_superconductivity_report.pyExport a markdown superconductivity-analysis report.
Tc as a compact estimate, not a full superconductivity prediction workflow.mu*.~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.