eigenvalues — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited eigenvalues (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 when working on eigenvalues problems in linear algebra.
sympy_compute.py charpoly "[[a,b],[c,d]]" --var lamsympy_compute.py eigenvalues "[[1,2],[3,4]]"sympy_compute.py eigenvectors "[[1,2],[3,4]]"z3_solve.py proveuv run python -m runtime.harness scripts/sympy_compute.py eigenvalues "[[1,2],[3,4]]"uv run python -m runtime.harness scripts/sympy_compute.py charpoly "[[a,b],[c,d]]" --var lamuv run python -m runtime.harness scripts/z3_solve.py sat "det(A - lambda*I) == 0"See .claude/skills/math-mode/SKILL.md for full tool documentation.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.