Quality Gates Python Packages

claude-code-kit

The autonomous SDLC for Claude Code that won't pass a gate on an unproven verdict.

shotgate

Container-native CI/CD quality gates for quantum circuits: statistically validate the probabilistic output of quantum programs across simulators and real QPUs, as declarative YAML, with drop-in exit-code gating.

falsiflow

Stop unverifiable AI eval, product metric, and R&D claims from passing CI.

intent-audit-harness

Deterministic test-policy enforcement and AI-proof containment for source repo quality gates. Hash-pins engineer-owned testing config so AI-proposed threshold weakening is blocked at pre-commit. Includes escape-scan, CRAP, architecture, bias, and Gherkin-lint gates.

repo-signal

AI-assisted repo analysis for turning rough prototypes into clear, documented, publishable GitHub projects.

super-dev

Super Dev - Pipeline AI Coding Assistant

kalibra

Statistical regression detection and CI quality gates for AI agents

ai-workbench-mcp

Goose-first acceptance, validation, routing, and audit layer for agentic work.

quality-runner

Repo-quality CLI and MCP server for proof-oriented checks with machine-readable evidence.

qualbench

CI for AI-generated code — measures production readiness, not just correctness

ai-sdlc-framework

Python SDK for the AI-SDLC Framework

solokit

Session-Driven Development - Maintain perfect context across AI coding sessions with Claude Code

async-runtime-auditor

Lightweight CI/CD runtime audit CLI for detecting asyncio event-loop starvation and threadpool saturation.

trust5

TDD coding agent

qualix

AI-native development quality gate — full-chain coverage from requirements to code

outputproof

OutputProof - infrastructure for trusting AI work product

sdetkit

Operator-grade release confidence and test intelligence platform: deterministic gates, evidence, integration assurance, and failure forensics.

session-driven-development

Session-Driven Development - AI-augmented development workflow framework