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/report-generator/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/report-generator)<a href="https://agentmods.dev/skills/prashishh/seo-geo-report-engine/report-generator"><img src="https://agentmods.dev/badge/skills/prashishh/seo-geo-report-engine/report-generator/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/report-generator"><img src="https://agentmods.dev/badge/skills/prashishh/seo-geo-report-engine/report-generator.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 | $0.00122 | $0.01545 |
| Opus 5 | $0.00061 | $0.00772 |
| Sonnet 5 | $0.00024 | $0.00309 |
| Haiku 4.5 | $0.00012 | $0.00154 |
Grade A, and why
report-generator 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 10d 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
report-generator
Turns a reporting period into a client-ready report PDF that reuses the proposal renderer.
A report is just a sections spec (report.yml) rendered with ./bin/mkt doc build. The same
section types as proposals work — summary, prose, scorecards, table, scenarios (for
the time-series chart), cta. The only difference is meta.badge: "Weekly Report" /
"Monthly Report". Do not build a new renderer or touch tools/.
Methodology is PERCEIVE → ANALYZE → VALIDATE → ACT. Every claim is falsifiable: state the metric, the period compared, and the threshold that would flip "win" to "regression".
Inputs
projects/<client>/client.yml—domain,competitors[],ahrefs.project_id,ahrefs.brand_radar_report_id,analytics.gsc_site. Resolve with./bin/mkt config show --project <client>.- Prior snapshots in
projects/<client>/data/(rank-history.csv, kpi-history.csv, refdomains, traffic). These define the prior period you diff against. - Cadence: weekly = last 7 days vs the 7 before; monthly = last full calendar month vs the one
before. Today is absolute (e.g.
2026-06-23). Always calldocon a tool before first use; monetary values are USD cents (÷100).
Workflow
1. PERCEIVE — pull the period and the prior period
Pull current + prior values so every number carries a delta. Save raw pulls to data/.
- Rankings —
rank-tracker-overview(tracked positions, distribution) andrank-tracker-competitors-overviewfor competitor position context. Hand off to therank-trackingskill for the full mover list / SERP features if needed. - Organic traffic & value —
site-explorer-metrics-history(organic traffic, traffic value, keyword count) for ourdomainacross the window. - Authority / links —
site-explorer-refdomains-historyand-referring-domainsfor ref domain growth;site-explorer-domain-rating-historyfor DR. (Full link read →backlink-analysis.) - GEO / AI visibility —
brand-radar-sov-history+-sov-overview(share of voice vs competitors) andbrand-radar-mentions-history. (Full GEO read →geo-audit.) - Owned data —
gsc-performance-history(clicks, impressions, CTR, avg position) andweb-analytics-stats(sessions, conversions where wired).
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.
- 10d ago First seen · 102 lines · 122 tokens per session scan A 8d3d48be780e
report-generator is a skill published in the GitHub repository prashishh/seo-geo-report-engine (5 stars, last pushed 2mo ago), licensed MIT. It adds 122 tokens to every session and 1,545 once invoked, about $0.0006 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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