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    ai Skill Quality Gate Pro Pack

    Run a buyer-readiness check before publishing an AI agent skill package.

    Updated Jun 2026
    Security scanned
    Claude Code

    $49

    · or 245 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Detect hardcoded secrets and private data before public release
    • Verify if a skill package has clear triggers and demo fixtures
    • terminal automation included
    • Ready for Claude Code
    • Instant install

    Sample input

    Run a quality gate audit on my 'jira-automation-pro' skill package before I upload it to the marketplace.

    Sample output

    ## Skill Quality Gate Status: WARN Painpoint: Manual Jira ticket updates Buyer: Project Managers Primary output: Automated ticket transitions Findings: - [CRITICAL] Hardcoded API token found in config.json - [WARN] Missing demo fixture data Must fix: - Remove secrets! Use ENV vars.

    About This Skill

    Pre-Publish Quality Gate for AI Agent Skills Agent Skill Quality Gate Pro is a static review workflow for builders who package, publish, or sell AI agent skills. It helps check whether a skill package is understandable, claim-bounded, buyer-facing, and ready for marketplace review before upload. What it does The workflow reviews a skill package for common publishing problems: unclear triggers, weak pain-point framing, missing usage notes, thin examples, local-only assumptions, risky file references, unsupported claims, and confusing internal vocabulary. It produces a structured PASS/WARN/FAIL-style report with review notes, must-fix items, and safer listing language. Key checks Structure Review: Checks whether the package has the expected instruction files, supporting docs, examples, and buyer-facing materials. Claim Boundary Review: Flags wording that may overpromise results, imply certification, or claim production/security/compliance readiness without proof. Risk Signal Review: Looks for likely local-only paths, private references, environment assumptions, or sensitive strings that should not appear in a public package. Buyer Clarity Review: Checks whether the skill explains who it is for, what problem it solves, when to use it, and what output the buyer should expect. Listing Readiness: Helps produce a short, claim-safe storefront description that matches the package contents. Why use this over a basic prompt? General LLM review often gives broad feedback or generic praise. This package uses a focused review structure for AI skill packaging, marketplace listings, and buyer handoff quality. It does not just ask whether the skill “looks good.” It asks whether the package is clear, bounded, usable, and safe to describe publicly. Important boundary This is a static publishing-readiness review aid. It does not certify marketplace approval, security, compliance, production readiness, commercial performance, or implementation correctness.

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell

    File Scopes

    agent-skill-quality-gate-pro-v0.1.0-market-ready/**
    **/SKILL.md **/*.md **/*.json **/examples/** **/docs/** **/tests/** **/package.json **/pyproject.toml **/README*

    None. This skill does not require external network access or connect to external hosts.

    No install required. This is a portable SKILL.md-style static review package. Best used with Claude, Claude Code, Codex, Cursor, GPT, Kimi, or another capable LLM/agent that can inspect a local skill folder or ZIP contents and produce structured Markdown reports.

    Frequently Asked Questions

    $49