vector-spaces — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited vector-spaces (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 vector-spaces problems in linear algebra.
z3_solve.py provesympy_compute.py nullspace "A"sympy_compute.py rref "A" to find pivot columnssympy_compute.py inverse "P"uv run python -m runtime.harness scripts/sympy_compute.py nullspace "[[1,2,3],[4,5,6]]"uv run python -m runtime.harness scripts/sympy_compute.py rref "[[1,2,3],[4,5,6]]"uv run python -m runtime.harness scripts/z3_solve.py prove "subspace_closed"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.