Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/lionkiii/claude-seo-skillsnpx agentmods add skills/lionkiii/claude-seo-skills/seo-internal-linksWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/lionkiii/claude-seo-skills/seo-internal-links)<a href="https://agentmods.dev/skills/lionkiii/claude-seo-skills/seo-internal-links"><img src="https://agentmods.dev/badge/skills/lionkiii/claude-seo-skills/seo-internal-links/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/lionkiii/claude-seo-skills/seo-internal-links"><img src="https://agentmods.dev/badge/skills/lionkiii/claude-seo-skills/seo-internal-links.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00095 | $0.01273 |
| Opus 5 | $0.00048 | $0.00636 |
| Sonnet 5 | $0.00019 | $0.00255 |
| Haiku 4.5 | $0.00010 | $0.00127 |
Grade A, and why
seo-internal-links scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Internal Link Audit
Crawls a domain to build an internal link graph. Identifies orphan pages, underlinked pages, and broken internal links. Suggests anchor text improvements.
Inputs
domain: Target domain URL (e.g.,https://example.com). Include protocol.max_pages(optional): Max pages to crawl. Default: 100. Maximum: 200.
Execution
Step 1: Crawl Site
Use scripts/fetch_page.py and scripts/parse_html.py to crawl the site:
# Fetch homepage
python3 scripts/fetch_page.py <domain>
# Parse HTML to extract links
python3 scripts/parse_html.py <html_content>
Follow internal links only (same domain hostname). Normalize URLs:
- Remove trailing slashes (treat
/aboutand/about/as same) - Remove URL fragments (
#section) - Preserve query strings only if they appear to be content (not tracking: strip
utm_*,ref=,source=)
Respect robots.txt: fetch <domain>/robots.txt first, skip disallowed paths.
Cap crawl at max_pages. Track crawl queue (BFS order from homepage).
Step 2: Build Link Graph
For each crawled page, record:
- Source URL
- Target URL (all internal links found)
- Anchor text for each link
Build adjacency structure:
outbound[url]= list of (target, anchor_text)inbound[url]= list of (source, anchor_text)
Step 3: Calculate Per-Page Metrics
For each crawled page:
- Inbound internal links count (links from other crawled pages pointing here)
- Outbound internal links count (links from this page to other pages)
- Link depth from homepage (BFS level at which this page was first discovered)
Step 4: Identify Issues
- Orphan pages (hard finding): Pages discovered via sitemap (
<domain>/sitemap.xml) or linked from other pages but with zero inbound internal links. Fetch sitemap first to identify all known URLs. - Underlinked pages (heuristic flag): Pages with fewer inbound internal links than a configurable threshold (default: 3). This threshold is a heuristic for prioritizing internal-linking work — Google defines no numeric minimum, so it is not a Google requirement.
- Excessive outbound: Pages with > 100 outbound internal links (PageRank dilution).
- Broken internal links: For top 20 most-linked pages, verify HTTP status. Flag 4xx/5xx.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 151 lines · 95 tokens per session scan A 1ff14a5865af
seo-internal-links is a skill published in the GitHub repository lionkiii/claude-seo-skills (20 stars, last pushed 3mo ago), licensed MIT. It adds 95 tokens to every session and 1,273 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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