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.
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Updated
Jun 22, 2026 - Python
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.
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.
Free OpenAI Codex and Claude Code skills for music creators: release metadata linter, Suede Rights Passport, provenance packaging, royalty splits, licensing readiness, and agent commerce prep.
Experimental framework for analyzing AI output behavior, hallucination risk and uncertainty before release
Browser-based product delivery dashboard for tracking TaskFlow mobile app scope, Agile execution, release readiness, and stakeholder visibility.
A GitHub template repository for deploying AI in regulated industries — governance docs, CI/CD gates, risk taxonomy, and release readiness out of the box
Aptoria is a self-hosted Laravel application for API QA, endpoint visibility, regression monitoring, release evidence and lightweight security review.
Structured QA pipeline for pre-release risk analysis: test coverage, flaky tests, and high-risk components detection
Release readiness audit and go/no-go verdict for AI-built apps.
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]
Open-source reference implementation for evidence-backed mobile release recommendations.
Portable AI agent skills and specialist subagents for prompt enhancement, workspace resume, source-grounded research, and release readiness.
Scorecards for AI short drama episode QA, continuity checks, scene promises, character behavior, and release readiness.
Risk logs for AI short drama production workflows, sprint scope, budget variance, asset reuse, and release readiness.
5-skill pack that checks product readiness and turns messy evidence into owner and agent reports.
VWO-flavored growth-ops control plane for experiment targeting evidence, holdout integrity, release readiness, and measurement-safe rollout sequencing.
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