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 rampstackco/claude-skills --skill seo-rank-trackinggit clone --depth 1 https://github.com/rampstackco/claude-skillsWrote 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/rampstackco/claude-skills/seo-rank-tracking)<a href="https://agentmods.dev/skills/rampstackco/claude-skills/seo-rank-tracking"><img src="https://agentmods.dev/badge/skills/rampstackco/claude-skills/seo-rank-tracking/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/rampstackco/claude-skills/seo-rank-tracking"><img src="https://agentmods.dev/badge/skills/rampstackco/claude-skills/seo-rank-tracking.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00108 | $0.02181 |
| Opus 5 | $0.00054 | $0.01091 |
| Sonnet 5 | $0.00022 | $0.00436 |
| Haiku 4.5 | $0.00011 | $0.00218 |
Grade A, and why
seo-rank-tracking 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 9d 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 — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Rank Tracking
Set up and run an ongoing rank tracking program using Ahrefs MCP data. Stack-agnostic. Produces a tracked keyword set, segmentation, baseline, alert thresholds, and a review cadence.
When to use
- Starting rank tracking for a new property or section
- Baselining before a campaign, content launch, or major site change
- Deciding what keywords are worth tracking
- Setting up a ranking dashboard for stakeholders
- Establishing alert thresholds for ranking drops
- Reviewing whether the current tracked set is still meaningful
When NOT to use
- Keyword discovery (use
seo-keyword) - Competitor keyword analysis (use
seo-keyword-gap-audit) - Diagnosing a ranking change that already happened (use
seo-traffic-diagnosis) - Single-page audits (use
seo-onpage)
Required inputs
- Target property
- Target market and language
- Business priorities (which segments matter)
- Existing ranked keywords (Ahrefs Site Explorer)
- Stakeholder reporting cadence (weekly, monthly, quarterly)
- Confirmation of Ahrefs MCP and Rank Tracker access, write access included: workflow step 5 creates Rank Tracker projects
The framework: tracking taxonomy
A good tracked keyword set has structure. Random keyword lists produce noisy dashboards. Segmented keyword sets produce signal.
Group every tracked keyword into one of four buckets.
Bucket 1: Brand keywords
Queries containing the brand name (and major variants and misspellings).
Why track:
- Detect brand visibility issues
- Catch competitors bidding on the brand
- Spot reputation problems early
Volume in this bucket: typically 10-30 keywords for most brands.
Healthy signal: position 1 for all variants. Anything else is investigate-worthy.
Bucket 2: Money keywords
Queries that drive (or should drive) revenue: high-intent transactional and evaluation-stage queries directly tied to the business model.
Why track:
- These are the keywords that pay the bills
- Movement here directly affects revenue
- Stakeholders care most about these
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 257 lines · 108 tokens per session scan A 2f5d880897c3
seo-rank-tracking is a skill published in the GitHub repository rampstackco/claude-skills (848 stars, last pushed 4d ago), licensed MIT. It adds 108 tokens to every session and 2,181 once invoked, about $0.0005 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 2026-09-03.
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