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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
      109 npm
      47
      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
      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
      2,375 npm
      5
      Apache 2.0
    • 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
    • A
      license
      A
      quality
      A
      maintenance
      Static security scanner for AI-generated (vibe-coded) Supabase and Next.js apps. Runs as an MCP server so an LLM can scan, explain findings, and produce fixes while it writes code, all locally and offline.
      5
      44 npm
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI coding assistants to scan projects for security issues such as leaked API keys, missing Supabase RLS, open Firebase rules, unauthenticated routes, and hallucinated packages, then fix and verify the results.
      8
      MIT