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

Static release-readiness gate for AI agent tool surfaces. CLI + GitHub Action. Scans MCP, OpenAPI, OpenAI Agents SDK, Anthropic, Google ADK, LangChain, CrewAI. Apache-2.0.

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

A GitHub template repository for deploying AI in regulated industries — governance docs, CI/CD gates, risk taxonomy, and release readiness out of the box

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

Quality gates for definition of done and release readiness.

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

Dataset-card templates, privacy review, and sanitation standards for future Foundation datasets.

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

GitHub Action for Shipcheck release-readiness and app exposure scans

Eliminating black box risk in outsourced software delivery through governance, visible QA, clear handoffs, and weekly reporting.

AI release-readiness platform for web teams built with Next.js, TypeScript, Playwright, axe-core, Lighthouse, OpenAI, and GitHub Actions.

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]

Release-readiness and app exposure scanner for JavaScript, TypeScript, and MCP repos

A generic, local-first code analysis harness that turns repository signals into evidence-backed quality risks, test seeds, and release-readiness gate inputs. / コードベース、変更差分、静的解析、テスト証跡を解析し、スメル検知・品質リスク・テスト設計 seed・リリース判断材料へ変換する汎用ハーネス。

Model-card templates and release-readiness standards for future Foundation AI releases.

HCAC is a completion contract for agents and tools. It defines when something is truly “done” — not just structurally, but behaviorally.

AppSecOne aggregates Fortify SSC vulnerability data, evaluates release readiness through deterministic security policies, and delivers real-time portfolio visibility with waivers, trends, and auditability.

Release and publication readiness hub for a systems engineering portfolio.