Deterministic linter that catches AI-generated code slop across 10 languages with 50+ rules.
aislop is easy to set up with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
gh repo view scanaislop/aislop --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
Repository setup guidance
Strong trust signals; still review the README and permissions before production use.
Last commit was about 26 days ago.
556 GitHub stars indicate community interest.
20 open issues signal maintenance load.
MIT license detected.
3 security/trust notes recorded.
Setup difficulty is 2/5.
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aislop is a command-line tool that scans your code for common problems introduced by AI coding assistants, like dead code, unsafe casts, and swallowed errors. It gives your project a score from 0 to 100 and can automatically fix many issues. It works offline and doesn't use AI at runtime, so results are consistent.
aislop is a deterministic static analysis tool designed to identify and fix code-quality issues commonly introduced by AI coding agents such as Claude Code, Cursor, Codex, and OpenCode. It scans codebases for over 50 patterns across 10 programming languages (TypeScript, JavaScript, Python, Go, Rust, Ruby, PHP, C#, C/C++, and Expo/React Native), including narrative comments, swallowed exceptions, unsafe casts, duplicated helpers, dead code, and security risks. The tool provides a 0–100 quality score, sub-second performance, and no LLM dependency at runtime, ensuring consistent and reproducible results. It offers a CLI, CI integration, GitHub Actions, and a badge for READMEs. It can also auto-fix mechanical issues and integrate with coding agents for repairs. aislop is MIT-licensed and free to use.
556
Stars
25
Forks
20
Issues
MIT
License
Deterministic linter that catches AI-generated code slop across 10 languages with 50+ rules.
Developers using AI coding assistants who want to ensure code quality., Tech leads and engineering managers enforcing code standards in CI., Open-source maintainers wanting to display a quality score.
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
The tool may produce false positives; review suggested fixes before applying. Auto-fix options can modify files; use version control to track changes.
Similar or complementary options to evaluate include Agent-CI, github-comment, action-suggester.
Aug 20, 2026