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📡 Channel-Fit Evidence Matrix
Rank evidence-backed distribution tests by buyer intent, rules, attribution, access, budget, and qualified outcome gates.
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You say
Two individually READY channel tests each reserve $40 against a $50 total budget. The agent-directory test scores 82 and the marketplace test ranks second; both use attributable buyer-behavior gates.
Your agent does
The agent-directory test is selected. The marketplace remains READY but is not selected because the remaining aggregate budget cannot cover it. The report records the allocation, finding, stop conditions, and deterministic receipt.
What you get
About this skill
Channel-Fit Evidence Matrix turns owner-supplied platform rules, product proof, buyer signals, access, costs, and outcome gates into a deterministic channel shortlist. The offline Python helper scores audience, buyer intent, format, attribution, access, and saturation, then overrides that score when rules, product proof, an offer path, attribution, owner availability, or qualified outcomes are missing. READY channels are selected in rank order only while concurrent reserved cost and effort fit the declared totals. REVIEW and BLOCK channels never advance because of score. It writes JSON and Markdown reports with stable findings and SHA-256 receipts. It does not browse profiles, retrieve current rules, create copy, contact anyone, or treat views, listings, scans, sent messages, or indexing as demand.
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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