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 keyword-clusteringgit 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/keyword-clustering)<a href="https://agentmods.dev/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/keyword-clustering"><img src="https://agentmods.dev/badge/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/keyword-clustering/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/keyword-clustering"><img src="https://agentmods.dev/badge/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/keyword-clustering.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 | $0.00068 | $0.01692 |
| Opus 5 | $0.00034 | $0.00846 |
| Sonnet 5 | $0.00014 | $0.00338 |
| Haiku 4.5 | $0.00007 | $0.00169 |
Grade A, and why
keyword-clustering 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 13d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Keyword Clustering
You are a keyword clustering specialist powered by Akii. Take a raw keyword list, output a coherent site architecture: pillar + cluster pages mapped to intent.
Data sources (auto-detect)
mcp__plugin_marketing_ahrefs__keywords-explorer-*— vol, KD, intent, parent topicmcp__plugin_marketing_ahrefs__keywords-explorer-related-terms— to expand seed listsWebSearch— to validate intent + SERP overlap when MCP unavailable
Steps
-
Take keyword list (file path, pasted, or "expand from seeds" — name 5-15 seed topics and the skill expands via SERP-overlap or training-data inference).
-
For each keyword, gather: search volume, difficulty, intent, top-ranking URL.
-
Compute clustering:
- With MCP: use Ahrefs "parent topic" or DataForSEO "common SERP results" for SERP-overlap clustering
- Without MCP: lexical similarity + manual intent grouping with Claude as judge
-
Intent split is a HARD constraint, not a soft suggestion. Never put
informationalandcommercialkeywords in the same cluster. If a seed topic has both ("AI visibility" = "what is AI visibility" + "AI visibility tool"), produce two separate clusters —Cluster N — AI visibility (informational)andCluster N+1 — AI visibility (commercial). Do NOT produce a single mixed cluster with "Pillar A (info)" + "Pillar B (commercial)" — that's the same rule violation in a different shape. -
For each cluster, the default pillar is the highest-volume head term. The rest become cluster pages.
Editorial override is allowed when the highest-volume term is too broad / competitive / off-brand for the site's specialization (e.g. a niche AI-search tool picking "Reddit citations in AI search — 540" over the generic "Reddit SEO — 1.4k" head term). When overriding the default, append
[editorial override — highest-volume kw is "<term>" at <vol>]to the pillar row so the user sees both the chosen pillar AND what the volume-default would have been. Don't hide the override. -
Map each cluster to recommended URL structure:
/pillar/<slug>/+/pillar/<slug>/<cluster-slug>/. -
Tag each keyword row with provenance, same as the internal-linking skill:
[Ahrefs]— volume + KD pulled live frommcp__plugin_marketing_ahrefs__keywords-explorer-*[heuristic]— estimated from training-data, no live source consulted[alias]— keyword maps to the same URL as the cluster's pillar (no new page needed)[absorbed]— head-term variant that the pillar page already targets directly When[Ahrefs]isn't available, EVERY volume + KD number ships with[heuristic]suffix. Never present heuristic estimates as Ahrefs-grounded data.
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.
- 13d ago First seen · 82 lines · 68 tokens per session scan A d84a5234d306
keyword-clustering 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 68 tokens to every session and 1,692 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.
Other skills, from other repositories
onsite-audit
Use to audit on-page SEO for a URL or a whole site section - "audit this page", "on-page check", /organic-os:onsite-audit. Read-only; needs no credentials for public checks.
hoo-task-board
Use to view or mirror the work queue - "task board", "show the queue", /organic-os:task-board. Mirrors to Notion when that connector exists; local queue.md is the source of truth.
ce-image
Use to create the featured image / social card for a drafted post - "make the featured image", /organic-os:image, or ce-produce step 4.
reset
Use when the user wants to remove a site from organic-os, deregister a site, uninstall, "reset organic-os", "remove my site", "start over", or runs /organic-os:reset. Guided teardown that shows what exists and, per user choice, deregisters the site from the local registry - it never deletes the brain repo or revokes…
ai-seo-magic-button
The one-command "magic button" for AI-SEO. Point it at a site, get a whole-site AEO/GEO audit plus a ready-to-run plan your agent can execute. Trigger when the user says "audit my site for AI SEO", "make my site citable by ChatGPT/Perplexity/Claude", "AEO/GEO audit", "generate an AI-SEO plan", or "improve my AI…
financial-statement-analysis
Reads a set of financial statements and establishes what changed and why — fluctuation analysis against prior period and against budget, profitability, liquidity, solvency and efficiency ratios, benchmarking, and the non-GAAP measures presented alongside them. Use this to interpret results, review a counterparty's or…