AgentLint
Reduces time spent debugging AI-generated code by automatically identifying and flagging inconsistencies, missing imports, and logic errors before they cause…
Stop AI hallucinations by fixing your repo in one command.
- Validate AI-generated Python/JavaScript before merge requests
- Catch missing dependencies and import statements automatically
- Detect unreachable code and undefined variable references
Reduces time spent debugging AI-generated code by automatically identifying and flagging inconsistencies, missing imports, and logic errors before they cause production issues.
Teams using Claude or other AI tools to generate code and need a fast pre-commit check to catch hallucinations and structural problems.
https://github.com/0xmariowu/AgentLint
By 0xmariowu
How to Get It
claude plugins install 0xmariowu/AgentLint
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 validate AI-generated Python/JavaScript before merge requests
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- Show HN: AgentLint v0.5 – 42 rules, stack-aware guardrails for AI agents — Hacker News · 4 pts
- AgentLint: Real-time guardrails for Claude Code (open source) — Hacker News · 3 pts
- Reduce token consumption through better CLI design — Hacker News · 3 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 48 GitHub stars; 2 contributors; last commit 1d ago; license MIT.
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): 48 GitHub stars; 2 contributors; last commit 1d ago; license MIT.