proof-theory — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited proof-theory (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 proof-theory problems in mathematical logic.
z3_solve.py prove "induction_principle"z3_solve.py prove "soundness_theorem"math_scratchpad.py verify "proof_steps"uv run python -m runtime.harness scripts/cc_math/z3_solve.py prove "P(0)"uv run python -m runtime.harness scripts/cc_math/z3_solve.py prove "ForAll([n], Implies(P(n), P(n+1)))"uv run python -m runtime.harness scripts/cc_math/z3_solve.py prove "Implies(derivable(phi), valid(phi))"uv run python -m runtime.harness scripts/cc_math/math_scratchpad.py verify "proof_structure"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.