seo-client-report

seo-client-report is a skill for Claude Code from dashaworks/seo-client-report-skill. It costs 100 tokens per session (988 once invoked), scanned A, original, MIT.

A service for turning real Search Console, website analytics, and ranking data into a branded monthly search-engine-optimization report published as a live web page. Search engine optimization, or SEO, is the work of helping a website appear in search results.

In plain words
What is it for?
Use it for recurring monthly or quarterly reports covering search clicks, impressions, rankings, website visits, and leads when those data sources are available.
Why use it?
It avoids rebuilding the same client report repeatedly and lets the sender see whether the client opened the published page.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the seo-client-report-skill plugin — 1 skill shipped together

Good fit Use it for recurring monthly or quarterly reports covering search clicks, impressions, rankings, website visits, and leads when those data sources are available.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dashaworks/seo-client-report-skill/seo-client-report
Install

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.

Any agent
npx skills add dashaworks/seo-client-report-skill --skill seo-client-report
Clone the repo
git clone --depth 1 https://github.com/dashaworks/seo-client-report-skill

Made for: Claude Code.

Or install seo-client-report-skill, the plugin that ships this one along with the rest of its 1 skill.

Wrote 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.

agentmods badge for seo-client-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/dashaworks/seo-client-report-skill/seo-client-report/github.svg)](https://agentmods.dev/skills/dashaworks/seo-client-report-skill/seo-client-report)
Your own site
<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.

agentmods 80×15 button for seo-client-report

Your own site · 80×15
<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>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 988 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 8d ago against content hash ed168636b1c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

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.

skills/seo-client-report/SKILL.md · 66 lines

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

  1. 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).
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. Author + lint. Call get_design_system, author self-contained HTML following it, and lint_document; fix everything it flags.
  7. 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.
  8. Publish branded. Suggest a stable, professional slug (client-name-2026-07). publish and return the URL. For real agency branding, offer the levers: set_handle for a cleaner subdomain, or — on Team/Business — attach_domain to serve from the agency's own domain (it returns the DNS records the user adds at their registrar).
  9. 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.

Read the full file on GitHub · 66 lines

Changes

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.

  1. 8d ago First seen · 66 lines · 100 tokens per session scan A ed168636b1c1

Subscribe to this mod's changes

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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