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.

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

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

Reusable Factor Skills for Agent-native product optimization

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

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

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

AI incident runbook generator with CLI/API readiness gates, quality history reviews, metrics, Docker, Kubernetes, and Terraform

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

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

LLM regression gateway with CLI/API eval gates, history reviews, metrics, Docker, Kubernetes, and Terraform

Public preview of the Application Performance Testing Readiness Checklist. Demonstrates the structure, gating model, and evidence-driven validation approach for PT cycles and test runs. Get the full professional package here: [https://akhileshsarfare.gumroad.com/l/qwoxu]