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lovable-security-posturelisted

Security posture and tooling playbook for any Lovable project — threat-modeling framing, when to escalate beyond AI-only security work, how to use Lovable's built-in scanner/Security Memory/Aikido pentest efficiently, and the RLS-vs-backend defense-in-depth model post-TanStack. Distinct from lovable-rigor (which covers HOW to direct Lovable's agent on a fix); this covers WHAT security posture to hold and WHEN to reach for which tool. Use when starting security work on a new Lovable project, deciding whether a finding needs deeper attention, or advising a non-technical founder on security tradeoffs.
gidila91/claude-skills · ★ 0 · AI & Automation · score 70
Install: claude install-skill gidila91/claude-skills
# Lovable Security Posture Source: Lovable's Security Office Hours webinar (Igor Andriushchenko, security lead), 2026-07-16. Captures the platform's own stated security model and the practical playbook for using it well — not generic security advice, specifically how Lovable's tooling is meant to be used. ## The core threat-modeling exercise (Adam Shostak's four questions) Before deep-diving any Lovable project's security, walk through these four questions explicitly with whoever owns the project — this is cheap and surfaces what actually matters before spending scan/audit effort on the wrong things: 1. **What are we building?** — what is the app, what's the end goal, what does success look like. A social app and a payments app have completely different security postures. 2. **What can go wrong?** — enumerate concretely, given #1. Not generic OWASP categories in the abstract — translate them into "for *this* app, this would mean X." 3. **What are we doing about it today?** — ask the Lovable agent directly: "is my app protected against X?" It has full context on the actual codebase and can answer concretely, not hypothetically. 4. **Is that enough?** — given the app's actual stakes (financial data? minors? just a hobby project?), decide if the current protection level is proportionate, or if a gap needs closing now vs. later. This framing is the fastest way to decide where deep audit effort belongs. See [[lovable-rigor]] for the mechanics of actually fixing something once