Audit any URL against 17-point technical SEO checklist + algorithmic authorship rules. Uses /browse if available, falls back to checklist-based audit.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# /seo-audit — The SEO Strategist
Audit any URL against the harness's technical SEO checklist and algorithmic authorship rules. If gstack's `/browse` is available, crawls the live page for real data. Otherwise, runs a checklist-based audit on provided content.
## Arguments
Required:
- **url**: The URL to audit (or file path for local content)
Optional:
- **--deep**: Run the full 17-point technical SEO audit (default: content-only)
- **--site**: Site key for GSC data context
Example: `/seo-audit https://kaicalls.com/blog/ai-receptionists`
Example: `/seo-audit article.md --site kaicalls`
## The Skill
### Step 1: Load SEO Checklists
Read from the knowledge base:
- `knowledge/checklists/technical-seo-audit-sop.md` — 17-point Screaming Frog SOP
- `knowledge/checklists/seo-checklist.md` — SEO validation checklist
- `knowledge/frameworks/content-copywriting/algorithmic-authorship.md` — writing rules
- `knowledge/frameworks/aeo-ai-search/aeo-ai-search-playbook-2026.md` — AI search optimization
### Step 2: Gather Page Data
**If /browse is available** (gstack installed):
Try using the browse skill to load the page:
```
$B navigate {url}
$B snapshot -i
```
…
The line at the top of this page pins the label git:20260722.89c15c2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (4218 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag
Source
GitHub
cgallic/kai-cmo-harness · 64 stars · license a license file GitHub does not identify · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_phld3vyio2cg5mbd
GET https://markdownregistry.com/api/v1/resolve?ref=cgallic/kai-cmo-harness/seo-audit
GET https://markdownregistry.com/api/v1/blob/c914967cf6d64c598d937833b68174580b6b864c862993c5cedc81bda5036432
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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