inbox-placement-monitor
Post-send placement telemetry: where mail actually landed per mailbox provider (inbox vs spam vs promotions from a seed-list test), the domain/IP reputation trend from Gmail Postmaster Tools and Microsoft SNDS, and the send-over-send delta
Connecting the steps of a workflow
What it does
Post-send placement telemetry: where mail actually landed per mailbox provider (inbox vs spam vs promotions from a seed-list test), the domain/IP reputation trend from Gmail Postmaster Tools and Microsoft SNDS, and the send-over-send delta with named regressions — delivered as a per-provider placement read plus a
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reusable SEND S (Sender-integrity / Deliverability) placement snapshot, with each number labeled Measured / User-provided / Estimated. This is the *after* half of SEND-S: [deliverability-qa](../../setup/deliverability-qa/SKILL.md) verifies the signal *before* a send (auth pre-flight, static reputation, one placement test); this skill tracks what happened *after* it and how reputation moves across sends. Scope guard: this skill tracks post-send placement + reputation trend and hands off a SEND-`S` placement snapshot; it does NOT run the `S1` SPF/DKIM/DMARC auth pre-flight (that is [deliverability-qa](../../setup/deliverability-qa/SKILL.md)) and does NOT compute the profile-weighted EQS or enforce the `S1`/`S2`/`N1`/`D1` vetoes (that is [email-quality-auditor](../email-quality-auditor/SKILL.md)). Build/trend the telemetry here; let the gate render the verdict.
Use when the user asks to "track where my emails are actually landing after I send", "read my seed-list inbox vs spam vs promotions…
You don’t need to name it. Ask for the job in your own words — your AI loads the skill when the request matches.
What it can touch
No script files in its folder
Its folder holds text, not programs. It changes how your AI works; it does not bring code of its own.
How we know
Listed the 2 files in the skill’s folder on GitHub; none is a script or program.
No known risk pattern found
Launch7’s automated check read all 2 text files in this skill and matched none of its risk patterns. This is not a guarantee: a check like this can miss new or disguised tricks, and the author can change the files after the check.
How we know
Read 2026-10-05, commit 94e984a by pipeline/trust/analyze.py — 40+ patterns for hidden text, prompt injection, downloads that run, credential access and more. It reads; it never runs the skill.
Recently maintained
Its repository has had changes recently.
How we know
Last push to aaron-he-zhu/aaron-marketing-skills: 2026-10-05 (0 days before the scan).
Read automatically from the skill’s own files on GitHub on 5 Oct 2026. Launch7 does not run or manually review skills: this lists what the check saw, and nothing here means “safe”. How we check
Add it to your AI
Supported. Upload it once in Claude’s settings. Works on every plan, including Free.
Built in your browser from the SKILL.md on GitHub — nothing passes through Launch7.
In Claude, open Customize → Skills, press +, then Create skill → Upload a skill, and choose the .zip.
Make sure code execution is switched on (Settings → Capabilities). Skills need it.
Start a new chat and ask for the job in your own words — Claude picks the skill up when it fits.
How Claude does this: support.claude.com · checked 28 Sep 2026 · “Supported” means documented by the vendor; Launch7 has not run it end to end
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