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 dashaworks/seo-client-report-skill --skill seo-client-reportgit clone --depth 1 https://github.com/dashaworks/seo-client-report-skillWrote 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/dashaworks/seo-client-report-skill/seo-client-report)<a href="https://agentmods.dev/skills/dashaworks/seo-client-report-skill/seo-client-report"><img src="https://agentmods.dev/badge/skills/dashaworks/seo-client-report-skill/seo-client-report/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/dashaworks/seo-client-report-skill/seo-client-report"><img src="https://agentmods.dev/badge/skills/dashaworks/seo-client-report-skill/seo-client-report.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 | $0.00100 | $0.00988 |
| Opus 5 | $0.00050 | $0.00494 |
| Sonnet 5 | $0.00020 | $0.00198 |
| Haiku 4.5 | $0.00010 | $0.00099 |
Grade A, and why
seo-client-report 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 8d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Client Report
The monthly SEO client report as a branded live page instead of a PDF that dies in an inbox — with a signal back after you send it ("the client opened it Tuesday, before the call").
Built for the consultant or agency who has to prove outcomes every month and does not want to rebuild the same deck twelve times a year.
When to use
- Recurring monthly/quarterly SEO reporting for a named client
- The user says "SEO report for [client]", "monthly SEO report", "client SEO report"
- The user asks about engagement on one already sent ("did they open it?") →
get_analytics
Steps
- Get the reporting frame. Client name, the period covered, and the previous report if
one exists (
list_documents— reuse its structure so the format is identical month over month; consistency is what makes this feel like a service). - Get the data — never invent it. You need real figures: Search Console (clicks, impressions, average position, top queries/pages), analytics (organic sessions, conversions/leads), and rankings. If the user has connected data sources or provides an export, use those. If a number needed for a claimed win is missing, ask for it — do not estimate or pad. A fabricated metric in a client report is a broken engagement.
- Every metric gets its prior period. A number without last month's number is noise. Compute the deltas (absolute and %). Lead with movement, not raw totals.
- Structure for the client, not the analyst. Order: headline outcomes first, in the client's terms (leads, revenue, rankings that matter to them) → what you did this period → what's next → data appendix. Methodology never opens the report.
- Turn movement into charts. Clicks/impressions trend, position changes, top-page performance — as charts from the design system, labeled well enough to survive being screenshot into a Slack thread by the client's boss.
- Author + lint. Call
get_design_system, author self-contained HTML following it, andlint_document; fix everything it flags. - Approval gate — always on. This is client-facing. Show the user: title, the period, the headline numbers you're leading with, the section list, and flag anything that could read as over-promising. Wait for explicit approval before publishing.
- Publish branded. Suggest a stable, professional slug (
client-name-2026-07).publishand return the URL. For real agency branding, offer the levers:set_handlefor a cleaner subdomain, or — on Team/Business —attach_domainto serve from the agency's own domain (it returns the DNS records the user adds at their registrar). - Close the loop. Offer to check next week whether it was viewed (
get_analytics— views by day), and to draft next month's report when the period turns.
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.
- 8d ago First seen · 66 lines · 100 tokens per session scan A ed168636b1c1
seo-client-report is a skill published in the GitHub repository dashaworks/seo-client-report-skill (3 stars, last pushed 1mo ago), licensed MIT. It adds 100 tokens to every session and 988 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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