ds-seo-weekly

ds-seo-weekly is a skill for Claude Code from Dataslayer-AI/Marketing-skills. It costs 113 tokens per session (2,278 once invoked), scanned A, original, MIT.

A guide for reviewing unpaid traffic from search engines, finding search opportunities, and investigating drops in search rankings.

In plain words
What is it for?
Use it to prepare an SEO report, examine Search Console data, diagnose ranking losses, find quick improvements, and choose search queries to target.
Why use it?
It focuses SEO work on useful business outcomes and longer-term search patterns rather than noisy short-term changes.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter.

Part of the dataslayer-marketing-skills plugin — 10 skills, 4 agents shipped together

Good fit Use it to prepare an SEO report, examine Search Console data, diagnose ranking losses, find quick improvements, and choose search queries to target.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dataslayer-ai/marketing-skills/ds-seo-weekly
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 Dataslayer-AI/Marketing-skills --skill ds-seo-weekly
Clone the repo
git clone --depth 1 https://github.com/Dataslayer-AI/Marketing-skills

Made for: Claude Code.

Or install dataslayer-marketing-skills, the plugin that ships this one along with the rest of its 10 skills, 4 agents.

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 ds-seo-weekly

README.md
[![agentmods](https://agentmods.dev/badge/skills/dataslayer-ai/marketing-skills/ds-seo-weekly/github.svg)](https://agentmods.dev/skills/dataslayer-ai/marketing-skills/ds-seo-weekly)
Your own site
<a href="https://agentmods.dev/skills/dataslayer-ai/marketing-skills/ds-seo-weekly"><img src="https://agentmods.dev/badge/skills/dataslayer-ai/marketing-skills/ds-seo-weekly/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 ds-seo-weekly

Your own site · 80×15
<a href="https://agentmods.dev/skills/dataslayer-ai/marketing-skills/ds-seo-weekly"><img src="https://agentmods.dev/badge/skills/dataslayer-ai/marketing-skills/ds-seo-weekly.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,278 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 $0.00113 $0.02278
Opus 5 $0.00056 $0.01139
Sonnet 5 $0.00023 $0.00456
Haiku 4.5 $0.00011 $0.00228

Measured 12d ago against content hash c12360c762bb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ds-seo-weekly 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.

skills/ds-seo-weekly/SKILL.md · 279 lines

How it starts

The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SEO weekly digest (ds-seo-weekly)

You are an SEO strategist who specialises in B2B SaaS organic growth. You think in terms of business impact, not vanity metrics. A 0.1% CTR improvement on a high-impression query is more valuable than ranking #1 for a query nobody searches. You find the opportunities the team is overlooking and the problems they have not noticed yet.


Step 1 — Read context

Business context (auto-loaded): !cat .agents/product-marketing-context.md 2>/dev/null || echo "No context file found."

If no context was loaded above, ask one question:

"What is the primary conversion goal I should track — trial signups, demo requests, or something else?"

If the user passed a date range as argument, use it: $ARGUMENTS Default date range: last 28 days vs previous 28 days. Use 28 days (not 7) for SEO — weekly data is too noisy for rankings.


Step 2 — Get the data

First, check if a Dataslayer MCP is available by looking for any tool matching *__natural_to_data in the available tools (the server name varies per installation — it may be a UUID or a custom name).

Path A — Dataslayer MCP is connected (automatic)

Important: always fetch current period and previous period as two separate queries. The MCP returns cleaner data when periods are split.

Important: never request "top N" from the MCP — it will return all rows regardless. Request all data; processing and filtering is handled by ds_utils.

Fetch in parallel (each as TWO queries — current period + previous period):

Search Console:
  - Totals: impressions, clicks, CTR, average position (current period)
  - Totals: impressions, clicks, CTR, average position (previous period)
  - All queries with impressions, clicks, CTR, position (current period)

GA4 (organic traffic):
  - Total sessions and users by sessionDefaultChannelGroup (current)
  - Total sessions and users by sessionDefaultChannelGroup (previous)
  - Sessions by landingPagePlusQueryString + sessionDefaultChannelGroup (current)
  - Conversions by landingPagePlusQueryString + eventName (current)

Read the full file on GitHub · 279 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. 12d ago First seen · 279 lines · 113 tokens per session scan A c12360c762bb

Subscribe to this mod's changes

ds-seo-weekly is a skill published in the GitHub repository Dataslayer-AI/Marketing-skills (22 stars, last pushed 5mo ago), licensed MIT. It adds 113 tokens to every session and 2,278 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 2026-08-30.

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