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🧭 Agent Distribution Readiness Pack
Audit release consistency, discovery surfaces, supported claims, evidence freshness, and Product Hunt or Show HN readiness before distributing an agent product.
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See it in action
You say
An MCP server reports version 0.6.0 and $0.25 on its homepage, while its registry entry reports 0.5.0, its pricing evidence reports $0.15, a launch claim cites no supplied surface, and Show HN evidence says the product is not directly tryable.
Your agent does
Gate: BLOCK. Stable findings identify PRODUCT_VERSION_DRIFT, PRICE_CONTRACT_DRIFT, DISTRIBUTION_CLAIM_UNSUPPORTED, and SHOW_HN_TRY_PATH_BLOCKED. The report preserves coverage metrics, limitations, and a deterministic SHA-256 receipt.
What you get
About this skill
Agent Distribution Readiness Pack turns normalized release evidence for an MCP server, agent skill, or paid API into a deterministic distribution gate. Its local Python helper checks the required discovery surfaces for the product kind, surface availability, evidence freshness, semantic-version consistency, canonical URL and price drift, transport capabilities, and whether every promotional claim points to supplied evidence. When Product Hunt or Show HN is a target, it applies the recorded channel constraints without creating promotional copy or generated comments. The output is a reviewable JSON and Markdown packet with READY, REVIEW, or BLOCK status, stable finding codes, coverage metrics, and a SHA-256 receipt. It runs offline, does not contact a registry or platform, and never treats deployment, scans, views, or listing acceptance as demand or revenue.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.
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