ai Skill Quality Gate Pro Pack

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.