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/kpi-dashboard/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/kpi-dashboard)<a href="https://agentmods.dev/skills/prashishh/seo-geo-report-engine/kpi-dashboard"><img src="https://agentmods.dev/badge/skills/prashishh/seo-geo-report-engine/kpi-dashboard/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/kpi-dashboard"><img src="https://agentmods.dev/badge/skills/prashishh/seo-geo-report-engine/kpi-dashboard.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 | $0.00131 | $0.01695 |
| Opus 5 | $0.00066 | $0.00847 |
| Sonnet 5 | $0.00026 | $0.00339 |
| Haiku 4.5 | $0.00013 | $0.00169 |
Grade A, and why
kpi-dashboard 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 11d 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
kpi-dashboard
Defines what to measure for a client and keeps a running time series so every report and
review has a baseline. Output is two things: research/kpi-definitions.md (the KPI tree, each
metric mapped to a source) and a dashboard spec (research/kpi-dashboard.yml) of
scorecards + a scenarios time-series chart, rendered with the existing ./bin/mkt doc build
renderer — no new tooling. The snapshot history lives in data/kpi-history.csv.
Methodology is PERCEIVE → ANALYZE → VALIDATE → ACT. Each KPI is falsifiable: it has a definition, a source, a target, and a threshold that distinguishes signal from noise.
Inputs
projects/<client>/client.yml—domain,competitors[],ahrefs.project_id,ahrefs.brand_radar_report_id,analytics.gsc_site/ga4_property_id. Resolve with./bin/mkt config show --project <client>. Today is absolute (e.g.2026-06-23).
Workflow
1. PERCEIVE — define the KPI tree
Group KPIs into four layers. Default tree (trim to what the client cares about):
| Layer | KPI | Source / Ahrefs MCP tool |
|---|---|---|
| Visibility | Tracked rankings (avg position, top-3/top-10 count) | rank-tracker-overview |
| Organic SoV vs competitors | rank-tracker-competitors-overview |
|
| GEO / AI share of voice | brand-radar-sov-overview / -sov-history |
|
| Traffic | Organic traffic + traffic value | site-explorer-metrics-history |
| Clicks / impressions / CTR (owned) | gsc-performance-history |
|
| Sessions + conversions (owned) | web-analytics-stats |
|
| Conversion | Leads / signups, CAC | owned CRM / GA4 (web-analytics-stats, client export) |
| Authority | Domain Rating | site-explorer-domain-rating-history |
| Referring domains | site-explorer-refdomains-history |
2. ANALYZE — map sources and set targets
- For each KPI record: definition (one line), source tool + exact params, cadence (weekly /
monthly), current value, target, and the "noise floor" (delta below which a change is not
reported). Write this to
research/kpi-definitions.md. - Conversion KPIs Ahrefs can't see (leads, CAC) get flagged as client-supplied with the field name to import; don't fabricate them.
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.
- 11d ago First seen · 107 lines · 131 tokens per session scan A 7199fb040768
kpi-dashboard is a skill published in the GitHub repository prashishh/seo-geo-report-engine (5 stars, last pushed 2mo ago), licensed MIT. It adds 131 tokens to every session and 1,695 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 2026-08-31.
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