Ai Generated Code Python Packages

skylos

Open source local-first PR scanner that finds dead code, security bugs, secrets, quality regressions, and AI-code mistakes before merge. For first timers refer to https://duriantaco.github.io/skylos/repo-map/

testguard-cli

Claim-driven mutation testing: inject faults and report what your tests miss. Vitest, Jest, Playwright, pytest & unittest. Part of the Guard family with DocGuard and WebSec Validator.

thailint

Catch the mistakes AI coding assistants keep making. A multi-language linter for AI-generated code: duplicate code, deep nesting, magic numbers, SRP violations and more, across Python, TypeScript, JavaScript and Rust.

factoryline-code-factory

Evidence-first audits for AI-generated code: prove tests can fail, catch security and release gaps, and ship reviewable receipts across VS Code, JetBrains, CI, MCP, and App Store workflows.

mdsmith

fast, auto-fixing Markdown linter and formatter. Checks style, readability, structure, and cross-file integrity.

valvur

Offline security scanning for AI-generated code: seven open-source scanners and AI-specific checks in one command. It finds secrets, vulnerable, hallucinated and malicious dependencies, poisoned agent configuration, and infrastructure and code flaws. An MCP server for Claude Code and Kiro, and a CLI. Your source never leaves your machine.

grain-lint

Anti-slop linter for AI-assisted codebases

drift-analyzer

Claude Code plugin that tells your agent when it is about to build something that already exists. Two-line install, no dependencies, answers in under 100 ms. Also a standalone static analyzer for structural drift.

plumb-line-provenance

Stop uncertain data becoming confident-looking results. plumb-line carries provenance, confidence and mock-taint with values through JavaScript and Python, and its review-time checks and GitHub Action catch uncertainty laundered into a claim in AI-assisted code.

codedna

Measures how much of each commit was written by AI and how well its author actually understands it — surfacing "understanding debt" across a codebase. Git-native Python CLI.

diff-contract

Deterministic guardrails for AI-generated diffs — define what files can change, block violations.

bisim

Behavior-addressed code: address functions and classes by what they do, witnessed by humans. Behavioral diff, CI gate, merge conflicts git can't see, intent minting.

aether-lang

Security checker for Python, aimed at code AI agents write and run: SQL, command and code injection, deserialization, SSTI, XXE, hardcoded credentials. Emits SARIF for GitHub Code Scanning.

crucible-harden

Adversarial test-hardening for AI-written code: a Tester writes tests, mutation testing finds what they miss, a Critic kills the named survivors. Mechanical verdicts, mutation-kill receipts, $0 on a Claude subscription.

reprove

Verify a pull request with evidence, not opinions: tests, diff coverage, mutation of changed lines. Free on public repos; Pro for private repos at reprove.sh

vibescore

🎵 Grade your vibe-coded project. One command, instant letter grade across security, quality, dependencies, and testing.

vibesec

Security scanner for AI-generated code from Cursor, Bolt, Claude Code and Lovable

scpe-protocol

Verifiable provenance for digital artifacts. Prove who made a contribution and that nothing was tampered with - offline, no server, no accounts.

oracle-gate

The Oracle Gate — a framework for testing AI-built code. Coverage isn't fault-detection, and the gap widens when a model writes both the code and its tests.

nightjar-verify

Math doesn't hallucinate. Formal verification for AI-generated Python code.

ai-spec-check

Verify if AI-generated code actually matches your spec. Completeness scoring.

vibelint

Find the mistakes AI leaves behind in your code. A linter for AI-generated Python: hallucinated imports, unwritten functions, tests that cannot fail.

nightjarzzz

Math doesn't hallucinate. Formal verification for AI-generated Python code.

halfbaked

Find the mistakes AI leaves behind in your code. A linter for AI-generated Python: hallucinated imports, unwritten functions, tests that cannot fail.