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goklab/guardvibe

v3.1.29 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 1mo MCP Security & Auth
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai-security claude clerk cursor cve drizzle
+14 more
hono mcp mcp-server nextjs owasp prisma prompt-injection static-analysis security stripe supabase typescript vercel vibe-coding

Summary

AI summary

deep_scan LLM temperature set to 0 for stable findings and prompt enforces precision over recall

Changes in this release

Feature Low

deep_scan still detects real semantic vulnerabilities like IDOR and auth bypass

deep_scan still detects real semantic vulnerabilities like IDOR and auth bypass

Source: granite4.1:30b@2026-06-06-audit

Confidence: low

Bugfix Medium

deep_scan runs LLM at temperature 0 for stable findings

deep_scan runs LLM at temperature 0 for stable findings

Source: llm_adapter@2026-06-06

Confidence: low

Bugfix Medium

deep_scan prompt prioritizes precision over recall, eliminating speculative flags

deep_scan prompt prioritizes precision over recall, eliminating speculative flags

Source: llm_adapter@2026-06-06

Confidence: low

Full changelog
  • deep_scan now runs the LLM at temperature 0 — same code yields stable findings instead of varying run-to-run
  • deep_scan prompt enforces precision over recall: only flags vulnerabilities present in the shown code, no speculation about unseen helpers, no generic hardening noise (clean code that drew 3 speculative findings now returns 0)
  • Real semantic vulns (IDOR, business-logic, race conditions, auth bypass) still caught; validated live against the API

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About goklab/guardvibe

Security MCP for vibe coding with 330 rules and 29 tools. Purpose-built for AI-generated code — scans Next.js, Supabase, Clerk, Stripe, Prisma, Hono, GraphQL, and 25+ modules. Cross-file taint analysis, host security audit, auto-fix, SARIF export, pre-commit hook, and CVE version detection. Zero config, runs locally.

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Related context

Beta — feedback welcome: [email protected]