Borrowing it
Nothing to install: this file belongs to prashishh/seo-geo-report-engine. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/prashishh/seo-geo-report-engine/main/.agents/skills/rank-tracking/SKILL.mdgit clone --depth 1 https://github.com/prashishh/seo-geo-report-engineWrote 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/prashishh/seo-geo-report-engine/rank-tracking)<a href="https://agentmods.dev/skills/prashishh/seo-geo-report-engine/rank-tracking"><img src="https://agentmods.dev/badge/skills/prashishh/seo-geo-report-engine/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/prashishh/seo-geo-report-engine/rank-tracking"><img src="https://agentmods.dev/badge/skills/prashishh/seo-geo-report-engine/rank-tracking.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 | $0.00101 | $0.01105 |
| Opus 5 | $0.00051 | $0.00553 |
| Sonnet 5 | $0.00020 | $0.00221 |
| Haiku 4.5 | $0.00010 | $0.00111 |
Grade A, and why
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 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.
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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
rank-tracking
Reads the client's Rank Tracker project, snapshots tracked positions, and reports what moved
since the last snapshot — gains, losses, SERP features, and how competitors shifted. Output is
research/rank-report.md plus an appended data/rank-history.csv. Ahrefs MCP is the engine
(see knowledge/ahrefs-mcp-map.md).
Methodology is PERCEIVE → ANALYZE → VALIDATE → ACT. Every mover is falsifiable: state the term, prior position, current position, and the threshold (≥3 positions or a page-1 crossing) that makes it a real move vs noise.
Inputs
projects/<client>/client.yml—domain,competitors[],target_keywords[],market, andahrefs.project_id(the Rank Tracker project). Resolve with./bin/mkt config show --project <client>.- Prior
data/rank-history.csv(the last snapshot you diff against).
Setup (first run)
If ahrefs.project_id is empty, list projects with management-projects, find the client's
Rank Tracker project, and paste its id into client.yml under ahrefs.project_id. Confirm the
tracked keyword set with management-project-keywords and competitors with
management-project-competitors. Today is absolute (e.g. 2026-06-23); call doc on a tool
before first use.
Workflow
1. PERCEIVE — pull current positions
rank-tracker-overview— current positions + distribution (top-3 / top-10 / top-100) for the project's tracked keywords.management-project-keywords— confirm the tracked set (so a "lost" term isn't just untracked).rank-tracker-serp-overview— SERP composition for key terms (which features appear: AI Overview, featured snippet, PAA, sitelinks, video).
2. ANALYZE — compute movers vs the last snapshot
- Diff current positions against the most recent
data/rank-history.csvsnapshot. - Gained = improved ≥3 positions or entered top-10/top-3. Lost = dropped ≥3 or fell off page 1. Everything else = flat (don't report it as a move).
- Note SERP-feature changes per term (gained/lost a snippet, AI Overview now present).
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 First seen · 79 lines · 101 tokens per session scan A 9c75b77a7087
rank-tracking is a skill published in the GitHub repository prashishh/seo-geo-report-engine (5 stars, last pushed 2mo ago), licensed MIT. It adds 101 tokens to every session and 1,105 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 2026-08-31.
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