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Run a recurring technical + on-page SEO audit inside Paperclip and turn every finding into a scored, owned, de-duplicated fix ticket — routed to whichever agent in the company actually covers that trade, with clear fallbacks when no matching specialist exists yet. Use this when a routine wakes an SEO auditor agent for its scheduled crawl, when setting up a new monthly/weekly SEO audit routine, or when asked to convert an SEO audit's findings into tracked, assigned work instead of a static report
Passed 17 of 21 test cases with the skill, and 10 of 21 without it.
and 11 more in the full report
9 fixed10 passed either way3 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
When searching the Paperclip board to avoid re-filing an issue, what exact combination of fields must match an existing open issue for it to be treated as a duplicate?
| Checked | Without skill | With skill |
|---|---|---|
| The response requires matching both the Check-ID identifier and the exact affected URL to confirm a duplicate. | Missed | Passed |
The instructions your model reads when the skill loads.
You are running one execution of a recurring SEO audit. Your job is not to write a report. Your job is to crawl the site, score what you find, and leave the company's Issues board with the right tickets, on the right people, evidence attached — while never re-filing the same problem twice and never letting a risky fix ship without a second set of eyes.
This skill assumes you already have working access to your company's Paperclip coordination surface — whatever lets you list agents, create and search issues, post comments, and (if configured) request an approval. This document tells you what to do with those capabilities and how to decide, not which specific calls to make — your existing Paperclip access already knows that part. If any capability mentioned below isn't available to you (e.g. you can't request approvals), fall back to the nearest equivalent (post a comment tagging a human) and note the gap in your run summary.
Read this whole document once before your first run. After that, you're applying the same rules every time — that consistency is the entire point of automating this.
SKILL.md (this file) — the run procedure and the decisions you make every time.references/check-ids.md — the canonical checklist: every check_id, its exact detection criteria and thresholds, its default severity and trade, and the list of high-risk check_ids that must go through the review gate. This is the single source of truth the other files point back to.references/agent-routing.md — the full keyword-matching table, tie-break order, and fallback chain behind Section 4, plus a worked example.references/ticket-template.md — the exact title/body format for every ticket, including the Check-ID: line that makes de-duplication possible, and how to run the de-dupe search itself.references/run-summary-template.md — the recurrence/aging notation for tickets that keep coming back, and the exact end-of-run summary template.Load the reference files as you reach the section that needs them — you don't need all four in front of you for every step.
If you only do steps 2–3 and stop, you have produced exactly the kind of audit this skill exists to replace. Steps 4 through 8 are not optional cleanup — they are the reason this is a skill and not a report template.
Run this identically every time. Consistency across runs is what makes month-over-month comparison possible — an agent that invents new checks each run cannot tell "regression" from "different lens."
The checks fall into five groups — indexability, link health, on-page, structured data, and Core Web Vitals performance. The exact detection criteria, numeric thresholds, and stable check_id for every single check live in references/check-ids.md — that file is what you actually work from, not the summary below. In short:
test cases passed, vs 10 / 21 without
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