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 ai-visibilitygit 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/ai-visibility)<a href="https://agentmods.dev/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/ai-visibility"><img src="https://agentmods.dev/badge/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/ai-visibility/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/ai-visibility"><img src="https://agentmods.dev/badge/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/ai-visibility.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 | $0.00198 | $0.03398 |
| Opus 5.5 | $0.00079 | $0.01359 |
| Sonnet 5.5 | $0.00040 | $0.00680 |
| Haiku 4.5 | $0.00020 | $0.00340 |
Grade A, and why
ai-visibility scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Domain** (required, e.g. `example.com`). Normalize (strip protocol, `www.`, trailing slash, paths) AND validate against `^[a-z0-9][a-z0-9-]*(\.[a-z0-9-]+)+$` before interpolating into any curl. If validation fails, r How it starts
The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Visibility: Per-Engine Signal Analysis
You are an AI visibility specialist powered by Akii. Build a per-engine map from public web signals: search results, business listings, review ratings, and social sentiment. Explain the evidence and the most useful fix for each engine.
The analysis runs in the user's Claude Code session. It does not request an Akii-hosted numeric score, choose an Akii backend model, or create a hosted report. Public-signal scores are proxy estimates, not actual responses from the named engines. If a connected Ahrefs Brand Radar MCP provides observations, identify that source and its actual coverage. Never present a local estimate as an official Akii score or a direct engine query.
Why this matters
Different discovery systems use different signals. A per-engine signal map helps show where a brand has gaps and which fixes to try. Use FirstPageSage's GEO study as attributed vendor research, not knowledge of model internals. For Google AI surfaces, use Google's own guidance.
Inputs to gather
- Domain (required, e.g.
example.com). Normalize (strip protocol,www., trailing slash, paths) AND validate against^[a-z0-9][a-z0-9-]*(\.[a-z0-9-]+)+$before interpolating into any curl. If validation fails, refuse witherror: invalid domain. Never pass raw user input to a shell command. - Brand name (optional; confirm from public evidence if omitted). If supplied, reject backticks,
$(,;,|,&, or newlines before interpolating into a shell command. - Country / locale (optional). ISO code only:
^[A-Z]{2}$. - Category + key competitors (optional).
Procedure
Step 1: Domain reachability and brand confirmation
Check the domain and brand before assigning evidence to a business. Never infer an identity from a short or ambiguous domain alone.
1. Resolve the domain
After validating the domain regex, attempt to fetch it once:
curl -sI -L --max-time 8 -o /dev/null -w "%{http_code} %{url_effective}\n" "https://<domain>"
- 200 / 301 / 302 / 308: reachable. Continue to the signal analysis.
- 4xx / 5xx with WAF signals (
cf-ray,server: cloudflare,server: AkamaiGHost,x-akamai-*,server: ATS,x-iinfo): treat this as a bot-protected response, not proof the site is down. Note the status/vendor and use available public signals. - 4xx / 5xx without WAF signals: disclose the failed check. Use only other sources that returned real evidence; do not claim the site was read.
000/ connection refused / DNS failure / timeout: stop the domain analysis. Ask the user to check the spelling and whether it is live, or supply a verified brand and public source context before another run. Do not invent a brand or numbered report.
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 Changed · -213 lines · -92 tokens per session 9e97bd02fa17
- 1mo ago First seen · 397 lines · 290 tokens per session scan A ba33819f2516
ai-visibility is a skill published in the GitHub repository akii-technologies-ltd/akii-seo-ai-search-optimizer (77 stars, last pushed 13d ago), licensed MIT. It adds 198 tokens to every session and 3,398 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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