agentleFS
khadinakbarlabskhadinakbarlabs/vibeseo-plugin/skills/site-audit/SKILL.md

site-audit

Skill0 starsChanged 33 days agoMITView on GitHub

Produce a prioritized technical and on-page SEO audit with page URLs, observed evidence, repair steps and verification criteria. Use for SEO audits, crawl errors, title/meta issues, indexability checks or broken-link diagnosis. Uses bounded owned Apify audit/link Actors or supplied exports. Reports crawl coverage and does not invent Core Web Vitals or index status.

8 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 5 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Read shared rules, CLI guidance, and Actor contracts.

    line 8
  2. Very specific:

    Use a provided audit export or plan complete-seo-audit with exact siteUrl, small maxPages, respectRobotsTxt: true, and demoMode: false.

    line 11
  3. Distinctive:

    Use report template. The audit is complete when its bounded evidence and missing coverage are clear.

    line 17

“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Bounded SEO audit

Read shared rules, CLI guidance, and Actor contracts.

  1. Reuse the authorized site and business goal. Confirm scope: a page, a representative sample, or a larger bounded crawl. Reject private-network targets and credential-bearing URLs. Choose key page types rather than treat a ten-page sample as the entire site.
  2. Use a provided audit export or plan complete-seo-audit with exact siteUrl, small maxPages, respectRobotsTxt: true, and demoMode: false. Add broken-link-checker only for gaps that matter. Bound external links, request counts and timeout; obtain the concrete run approval.
  3. Read the same run's dataset/summary/output. Determine page coverage, exclusions, blocked pages and partial findings. Distinguish rendered/static observations and limits described by the Actor. A robots directive or canonical tag alone isn't proof of Google's actual indexing; do not infer Search Console state.
  4. Group observed issues into access/indexability, status/redirect/canonical, titles/headings, content/intent, internal links, and supported technical signals. Prioritize blockers affecting useful pages, then material user/discovery issues, then polish. Mark severity as an editorial assessment.
  5. Each finding needs an affected URL, raw observed signal, why it matters, a concrete proposed fix, and how to verify that fix. Read actual evidence before suggesting changes. Return Unknown when a signal such as field Core Web Vitals, full-site coverage or a current index state was not measured.
  6. Deliver 3–5 first actions and a full finding table. Changes to code, robots, redirects, canonical tags or publishing require the user's separate scope/authorization and appropriate testing; don't modify a site merely because an audit was requested.

Use report template. The audit is complete when its bounded evidence and missing coverage are clear; it does not certify a site's SEO or security.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.