release-readiness

The deterministic merge gate for AI-generated agent capability changes — a local-first, static Tool-Use Readiness review for MCP, OpenAPI, and SDK tool surfaces. Open-source CLI + GitHub Action.

Evidence-based review skill for diff, project, and artifact review across code, readiness, architecture, requirements, and risk.

Governance-first agent command center for workflow automation, validation, policy, documentation sync, and execution discipline.

Local-first repository health and OSS readiness reports for open-source maintainers

Human-governed readiness system for UAT evidence, launch readiness, blocker escalation, signoff ownership, and release decision support.

Honest QA gap analysis for deployed web apps. Auth-aware scanning, real accessibility checks, and an MCP server for AI agents.

Final-gate review skill for AI agents - structured release-readiness reports with PASS / PASS WITH RISKS / FAIL verdicts. Claude Code and Agent Skills compatible.

A local-first React Native & Expo project auditor for release readiness, dependency health, and risk reports.

Browser-based product delivery dashboard for tracking TaskFlow mobile app scope, Agile execution, release readiness, and stakeholder visibility.

Reusable Factor Skills for Agent-native product optimization

A starter repository for documenting, reviewing, and releasing regulated AI systems.

Release workflow repo for requirements, feature flags, readiness reviews, and risk tracking.

Aptoria is a self-hosted Laravel application for API QA, endpoint visibility, regression monitoring, release evidence and lightweight security review.

Experimental framework for analyzing AI output behavior, hallucination risk and uncertainty before release

Structured QA pipeline for pre-release risk analysis: test coverage, flaky tests, and high-risk components detection

Checklist for AI short drama shot lists, release readiness, production scope, continuity risk, and episode handoff.

LLM eval regression gateway with provenance, independent approvals, deterministic release artifacts, FastAPI, metrics, Kubernetes, and Terraform.

Zero-config release readiness CLI and GitHub Action for AI-assisted projects.

Portable AI agent skills and specialist subagents for prompt enhancement, workspace resume, source-grounded research, and release readiness.

Local-first release readiness radar for maintainers with too many repos.