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🧾 Proof-to-Channel Evidence Packet
Map supported product claims to current channel rules, required artifacts, human-authored fields, and a fail-closed submission-readiness gate.
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See it in action
You say
One product, a verified marketplace rule snapshot, two product claims, current documentation and screenshot evidence, required demo and install paths, pricing disclosure, link target, and explicitly marked human-authored fields.
Your agent does
READY with two reciprocally supported claims, one supplied screenshot, complete demo, install, pricing, link and attribution fields, no do-not-say claims, and a receipt declaring result.json, report.md, and manifest.json.
What you get
About this skill
Proof-to-Channel Evidence Packet turns owner-supplied product proof, claim links, current channel rules, screenshots, demo and install paths, pricing disclosure, attribution, and human-authored identity fields into a deterministic release packet. The offline Python helper rejects malformed values, credential-like URL query keys, stale or future evidence, nonreciprocal claim links, missing artifacts, and unsafe output paths. It writes a claim matrix, do-not-say claims, human-review requirements, an artifact brief, stable findings, and SHA-256 receipts for three declared files. READY means the supplied packet is reviewable for the named channel. It does not retrieve private profiles, write founder experience, submit a listing, publish, or predict acceptance.
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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