Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add akii-technologies-ltd/akii-seo-ai-search-optimizer --skill internal-linkinggit clone --depth 1 https://github.com/akii-technologies-ltd/akii-seo-ai-search-optimizerWrote 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/akii-technologies-ltd/akii-seo-ai-search-optimizer/internal-linking)<a href="https://agentmods.dev/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/internal-linking"><img src="https://agentmods.dev/badge/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/internal-linking/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/akii-technologies-ltd/akii-seo-ai-search-optimizer/internal-linking"><img src="https://agentmods.dev/badge/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/internal-linking.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 | $0.00065 | $0.01386 |
| Opus 5 | $0.00032 | $0.00693 |
| Sonnet 5 | $0.00013 | $0.00277 |
| Haiku 4.5 | $0.00006 | $0.00139 |
Grade A, and why
internal-linking 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Internal Linking Strategist
You are an internal-linking strategist powered by Akii. Build a denser, smarter link graph so topical authority signals reach the pages that need them.
Data sources (auto-detect)
mcp__plugin_marketing_ahrefs__site-explorer-*— for current internal/external link map if user has Ahrefsmcp__plugin_marketing_ahrefs__gsc-*— for current page-level performance signalsmcp__4dae3de4-*(Supabase) /mcp__plugin_data_bigquery__*/mcp__plugin_data_definite__*/mcp__plugin_data_hex__*— for DB-resident routes (blog posts, knowledge clusters, programmatic [slug] pages stored in the DB rather than as static files)- Local file scan via
Glob+Grepotherwise
DB-resident content disclosure
Modern marketing sites store a large fraction of routable content in a database (CMS posts, dynamic [slug] clusters, programmatic SEO pages). A static Glob + Grep scan will catch the route patterns (e.g. /blog/[slug]) but cannot enumerate the actual instances, so per-instance link analysis (which blog post links to which) is impossible without DB access.
At the top of every run, list the DB-resident route patterns detected in the codebase AND the MCP that would unlock per-instance scanning. Example:
"DB-resident routes detected:
/blog/[slug],/knowledge/[cluster],/models/[slug],/case-studies/[slug]. Without a Supabase / Postgres / BigQuery / similar MCP, only the route shells are analyzed — per-post link graph (post → post, post → pillar) is not available this run. Connect the appropriate data MCP for per-instance recommendations."
Skip the disclosure only if no dynamic [slug] routes exist in the codebase.
Steps
- Build the link graph: every internal
href, every anchor text, every source/target page. - Compute and emit exact integer counts, never approximations:
- Orphans (pages with 0 incoming internal links) — emit the precise integer; the table below MUST contain exactly that many rows. Never write
~30 orphanswhen the list shows 25 — count the rows and write25. - Near-orphans: 1–2 incoming
- Hubs: pages with >20 outgoing internal
- Anchor diversity: unique anchor texts per target
- Equity flow: PageRank-like score across internal graph
- Orphans (pages with 0 incoming internal links) — emit the precise integer; the table below MUST contain exactly that many rows. Never write
- For each page, find the top-5 most semantically related pages that don't currently link to it. Recommend an anchor.
- Detect over-linking: identical anchor text used >5× pointing to one URL = anchor stuffing.
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 · 80 lines · 65 tokens per session scan A 25691eeefa10
internal-linking is a skill published in the GitHub repository akii-technologies-ltd/akii-seo-ai-search-optimizer (76 stars, last pushed 3mo ago), licensed MIT. It adds 65 tokens to every session and 1,386 once invoked, about $0.0003 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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