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 intent-efficiencygit 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/intent-efficiency)<a href="https://agentmods.dev/skills/surendranb/google-search-console-mcp/intent-efficiency"><img src="https://agentmods.dev/badge/skills/surendranb/google-search-console-mcp/intent-efficiency/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/intent-efficiency"><img src="https://agentmods.dev/badge/skills/surendranb/google-search-console-mcp/intent-efficiency.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 | $0.00020 | $0.00197 |
| Opus 5.5 | $0.00008 | $0.00079 |
| Sonnet 5.5 | $0.00004 | $0.00039 |
| Haiku 4.5 | $0.00002 | $0.00020 |
Grade A, and why
intent-efficiency 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
Strategic Intent Intel
When to use: Use this pattern to understand what phase of the buyer's journey your traffic is coming from.
How to execute:
- Call
get_search_analyticswithdimensions=["query"],row_limit=5000. - Client-side processing: Iterate over the rows and classify queries:
- Informational: Contains words like 'how', 'why', 'what', 'guide', 'tutorial', 'vs', 'compare'.
- Transactional: Contains words like 'buy', 'price', 'tool', 'service', 'app', 'download'.
- Navigational: All other queries (typically brand or direct product searches).
- Sum the clicks and impressions for each bucket to find the 'Share of Traffic' per intent type.
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 · 17 lines · 20 tokens per session scan A 7f637dd949c6
intent-efficiency is a skill published in the GitHub repository surendranb/google-search-console-mcp (40 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 197 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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