nexpath
Catches test gaps and safety regressions across multiple AI coding environments without external dependencies, reducing production incidents and technical de…
Local-first AI coding workflow for vibe coders, indie hackers, technical founders and product managers — catch missing tests and safety checks across Claude Code, Cursor, Windsurf, Replit, Lovable and Bolt.new.
- Catch missing unit tests before pushing code to production repositories
- Find safety issues and edge cases Claude generated code might have missed
- Verify test coverage across multiple AI coding editor workflows automatically
Catches test gaps and safety regressions across multiple AI coding environments without external dependencies, reducing production incidents and technical debt from rapid prototyping.
Indie hackers and technical founders using multi-tool AI coding environments who need fast feedback on code quality.
https://github.com/hi0001234d/nexpath
By hi0001234d
How to Get It
claude plugins install hi0001234d/nexpath
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me catch missing unit tests before pushing code to production repositories
Trust Signals Auto-scanned
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 346 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 346 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.