first-order-odes — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited first-order-odes (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 first-order-odes problems in odes pdes.
| Type | Method |
|---|---|
| Separable | Separate and integrate |
| Linear | Integrating factor e^{int P dx} |
| Exact | Find potential function |
| Bernoulli | Substitute v = y^{1-n} |
scipy.integrate.solve_ivp(f, [t0, tf], y0, method='RK45')method='Radau' or method='BDF'sympy_compute.py dsolve "y' + y = x" --ics "{y(0): 1}"z3_solve.py solve "dy/dt == 0"uv run python -c "from scipy.integrate import solve_ivp; sol = solve_ivp(lambda t, y: -y, [0, 5], [1]); print('y(5) =', sol.y[0][-1])"uv run python -m runtime.harness scripts/sympy_compute.py dsolve "Derivative(y,x) + y" --ics "{y(0): 1}"uv run python -m runtime.harness scripts/z3_solve.py solve "f(y_star) == 0"From indexed textbooks:
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.