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    WordPress Launch QA Gate

    1

    The WordPress Launch QA Gate transforms your AI agent into a senior technical reviewer that provides a definitive go/no-go decision for production readiness.

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    WordPress Launch QA Gate

    WordPress Launch QA Gate

    Example session with this skill installed

    Please run a go/no-go review before we launch our WooCommerce store next week. Classic theme (Storefront child), Rank Math configured, Cloudflare in front, GA4 hardcoded in header.php with no consent banner. We deploy by FTP and the repo only contains the child theme; I pasted the checkout customization plugin, which has an AJAX coupon handler with no nonce check.

    • Read your context and instructions
    • Compiled the wordpress launch qa

    Mode: PRE-LAUNCH AUDIT. Tier: L3 Critical (e-commerce, payments). Non-waivable: Security, Accessibility, secrets, rollback.

    Domain                         Score    Weight  Notes
1 Code quality & WP practice   AMBER    15%     GA4 tag hardcoded, not enqueued; no blocking lint
2 Security                     RED      20%     coupon AJAX write has no nonce check
3 Accessibility (WCAG 2.1 AA)  UNKNOWN  15%     no keyboard walk or axe results provided
4 Structured data & SEO        UNKNOWN  15%     Rank Math output not shown
5 AI indexing                  UNKNOWN  10%     no view-source provided
6 Core Web Vitals (mobile)     AMBER    15%     eager GA4 in header, no consent gate
7 Deploy & operations          RED      10%     FTP deploy; plugins not in repo
Weighted readiness: 15%
VERDICT: NO-GO

    Blockers (Impact²/Effort)

    #FindingDomImpEffScoreBlocker?
    1Coupon handler: no nonceD25125.0Yes
    2GA4 eager, no consent gateD6319.0No
    3FTP deploy, no rollbackD7333.0Yes

    To flip to GO

    • Add check_ajax_referer() plus a capability check to the coupon handler.
    • Put all custom code in the repo, deploy by script or CI, pin a rollback tag.
    • Provide axe and keyboard results for checkout (L3 requires them).

    Next steps

    • Share view-source of home, product and checkout to resolve D4 and D5.
    • Re-run as RE-AUDIT after fixes.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    What it does

    The WordPress Launch QA Gate transforms your AI agent into a senior technical reviewer that provides a definitive go/no-go decision for production readiness. It consolidates seven critical engineering domains—Code Quality, Security, Accessibility (WCAG 2.1 AA), SEO/Schema, AI Indexing, Core Web Vitals, and DevOps—into a single, auditable scorecard.

    How it works

    Unlike generic AI prompts that provide "tips," this skill enforces a strict production standard. It calibrates its rigor based on three launch tiers (Standard, Commercial, or Critical) and runs a verifiable checklist against your codebase or live site. It identifies "blocker-class" issues—like unsanitized inputs, missing nonces, or secrets in the repo—that immediately trigger a NO-GO verdict regardless of other scores.

    Why use this skill

    • Defensible Decisions: Move from "vibes" to objective scoring that non-technical stakeholders can trust.
    • Risk Mitigation: Catches high-impact security and accessibility defects before they become expensive post-launch incidents.
    • Prioritized Fixes: Generates a "Fix Order" using an Impact²/Effort formula to ensure your team works on the most critical blockers first.
    • Continuous Validation: Supports a RE-AUDIT mode to track deltas and verify that fixes actually moved the needle.

    Supported Tools & Standards

    The skill validates against the WordPress Coding Standards (WPCS), Axe-core for accessibility, Core Web Vitals targets, and industry-standard security practices for sanitization and escaping.

    • Cannot execute live PHP/JS code or run real PHPCS binaries.
    • Requires user to provide codebase text or repo access.
    • Scoring is based on static analysis, not dynamic load testing.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed4 months ago
    Updated12 days ago

    What's inside

    Frequently Asked Questions

    The skill provides a definitive 'Go/No-Go' verdict across seven domains, including Code Quality, Security, and Accessibility, automatically identifying 'blocker-class' risks like security vulnerabilities that are often missed by standard AI chats.

    This skill is optimized for Claude (Sonnet and Opus models) and can be integrated into environments that support advanced system instructions or developer-mode agents.

    You will receive the proprietary skill logic, launch tier calibration instructions, the 7-domain audit framework, and the prioritized 'Fix Order' template for team handoffs.

    No complex coding is required; you simply import the skill configuration into your preferred AI agent environment and provide your site's codebase or URL for the audit to begin.

    The 'Blocker List' identifies high-impact defects (like missing nonces or unsanitized inputs) that trigger an automatic 'No-Go' decision, ensuring you never push unsafe code to production.

    By using the RE-AUDIT mode, you can feed the tool your previous audit report alongside your updated code to verify that all blockers have been resolved and track your score improvements.