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 surendranb/google-search-console-mcp --skill brand-visibilitygit clone --depth 1 https://github.com/surendranb/google-search-console-mcpWrote 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/surendranb/google-search-console-mcp/brand-visibility)<a href="https://agentmods.dev/skills/surendranb/google-search-console-mcp/brand-visibility"><img src="https://agentmods.dev/badge/skills/surendranb/google-search-console-mcp/brand-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/surendranb/google-search-console-mcp/brand-visibility"><img src="https://agentmods.dev/badge/skills/surendranb/google-search-console-mcp/brand-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 | $0.00031 | $0.00209 |
| Opus 5.5 | $0.00012 | $0.00084 |
| Sonnet 5.5 | $0.00006 | $0.00042 |
| Haiku 4.5 | $0.00003 | $0.00021 |
Grade A, and why
brand-visibility 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 yesterday.
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.
What it actually says
Brand Visibility Intel
When to use: Use this pattern to evaluate how much traffic comes from branded searches versus generic category searches. High branded traffic indicates strong brand trust (you are a Destination), while low branded traffic indicates you are competing purely on generic intent (you are a Reference).
How to execute:
- Call
get_search_analyticswithdimensions=["query"],row_limit=1000. - Apply a filter where
dimension="query",operator="contains", andexpression="<your_brand_name>". This gives you Branded traffic. - Call
get_search_analyticsagain withoperator="notContains"for Non-Branded traffic. - Calculate the Share of Branded Traffic = (Branded Impressions) / (Total Impressions) * 100.
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.
- yesterday First seen · 15 lines · 31 tokens per session scan A 0e88c7186b55
brand-visibility is a skill published in the GitHub repository surendranb/google-search-console-mcp (40 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 209 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-29.
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