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

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

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

Quality gates for definition of done and release readiness.

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

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 and publication readiness hub for a systems engineering portfolio.

Heuristic release checks for Roblox Studio projects, with deterministic results and an actionable report

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

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

solo localization effort, moving text from: write → translate → QA → ship

Enterprise-grade TPM templates for launch readiness, RAID, dependencies, status reporting, and post-launch reviews

Coding-success skills for Minis on iOS: review risk, plan, isolate, trace, test, verify, optimize, finish, release, deploy, triage incidents, plan rollback, write postmortems, and use observability more effectively.

ReleaseBoard helps teams assess release readiness, track environment milestones, manage release calendars, and generate polished operational dashboards from repository and branch data.

A practical, risk-tiered checklist framework for AI release readiness, with reusable configs and a lightweight evaluation CLI.

Practical OpenClaw skill pack: self-healing, release-readiness, lesson extraction