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 indranilbanerjee/digital-marketing-pro --skill rank-monitorgit clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-proWrote 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/indranilbanerjee/digital-marketing-pro/rank-monitor)<a href="https://agentmods.dev/skills/indranilbanerjee/digital-marketing-pro/rank-monitor"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/rank-monitor/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/indranilbanerjee/digital-marketing-pro/rank-monitor"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/rank-monitor.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 | $0.00141 | $0.02544 |
| Opus 5 | $0.00071 | $0.01272 |
| Sonnet 5 | $0.00028 | $0.00509 |
| Haiku 4.5 | $0.00014 | $0.00254 |
Grade A, and why
rank-monitor 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 5d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/digital-marketing-pro:rank-monitor
Purpose
Set up and manage keyword ranking monitoring — and, with --features, SERP-feature tracking in the same run. Track target keyword positions across Google, establish baselines, detect drops greater than 5 positions, and generate alerts when rankings change significantly. In --features mode, also track which SERP features appear for each query (AI Overviews, Featured Snippets, People Also Ask, Knowledge Panels, Local Pack, Image Pack, Video Carousel, Shopping) and whether the brand owns them. This gives ongoing visibility into organic performance — catching ranking declines early, spotting upward trends, and tracking the increasingly feature-rich results page.
Merged skill (was
rank-monitor+serp-tracker). SERP-feature tracking is now the--featuresmode of this one skill. The old/digital-marketing-pro:serp-trackeris a deprecation pointer to here.
Data sources (read this before configuring)
- Google Search Console MCP is the authoritative position + impressions source for verified properties. GSC returns per-query/per-page positions, impressions, clicks, and CTR — it does not return the full per-query SERP-feature layout or AI Overview citation lists. Do not claim otherwise.
- Rank-tracker MCPs (Ahrefs / Semrush / SE Ranking, if connected) fill in positions for keywords/competitors GSC can't see and provide their own SERP-feature flags.
- Moz MCP (
mcp-moz) is optional — verify the package exists on npm before use (npm view mcp-moz);npxexecutes remote code, so don't wire an unverified package. If Moz isn't connected, use GSC + whichever rank-tracker MCP the brand already has. - AI Overview presence in
--featuresmode records only whether an AI Overview appeared and whether the brand was cited in it (a binary SERP-feature signal). For scored AI-visibility measurement across the 6 canonical AI surfaces, use/digital-marketing-pro:geo-monitor//digital-marketing-pro:aeo-audit(the canonical AI-visibility scoring standard) and, for actual impressions,/digital-marketing-pro:gsc-ai-performance. Do not re-implement AI-visibility scoring here.
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.
- 5d ago First seen · 87 lines · 141 tokens per session scan A 294a79634e05
rank-monitor is a skill published in the GitHub repository indranilbanerjee/digital-marketing-pro (812 stars, last pushed 5d ago), licensed MIT. It adds 141 tokens to every session and 2,544 once invoked, about $0.0007 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 2026-09-07.
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