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Alternatives to supership-scan

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    • A
      license
      A
      quality
      A
      maintenance
      Local-first, zero-egress security scanner for AI-generated / "vibe-coded" JS/TS. Bundles Opengrep, Gitleaks & Trivy behind one CWE-keyed schema and adds AI-code-specific checks (client-side secret exposure, Supabase RLS, prompt-injection & LLM-output XSS sinks). No account, no telemetry.
      10
      211 npm
      50
      Apache 2.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      Local-first security check for AI coding agents — finds hardcoded secrets, exposed .env files, git-history leaks and vulnerable dependencies (OSV), entirely on your machine. Ask your agent "is this safe to ship?" and get a Launch Readiness score with a fix for every finding.
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI coding assistants to check whether an API key is safe to expose, audit Supabase Row Level Security, generate owner-based RLS policy templates, and run a builder-specific pre-launch security checklist. Runs locally over stdio with no network calls, telemetry, or file access.
      5
      MIT
    • A
      license
      B
      quality
      A
      maintenance
      Security MCP server with 300+ rules for AI-generated code. Scans Next.js, Supabase, Clerk, Stripe, Prisma, Hono, GraphQL and 20+ modules. Zero config, runs locally.
      39
      2,540 npm
      6
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI editors such as Cursor, Claude Code, Windsurf and VS Code to scan a project for common AI-introduced security mistakes — leaked keys, open Supabase/Firebase data, missing auth, unverified Stripe webhooks, SQL injection and more — and return findings with exact fix instructions. It also provides a guided prompt that walks an agent through fixing critical issues one by one and verifying each fix by re-scanning, without ever editing files or rotating keys itself.
      2
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Automatically detects security vulnerabilities in AI-generated code, scanning for hardcoded secrets, injection flaws, XSS, weak cryptography, authentication issues, path traversal, and vulnerable dependencies across JavaScript, Python, Java, and Go.
      14 npm
      2
      MIT