serp-extract

serp-extract is a skill for Claude Code from agencia-conversion/agentic-seo-skills. It costs 34 tokens per session (2,492 once invoked), scanned A, original, MIT.

A workflow for capturing and standardising search-engine results for specified keywords. SERP means search-engine results page; the workflow records result snapshots, competitor URLs, and visible search features without analysing them.

In plain words
What is it for?
Use it to collect ranking snapshots, organic result URLs, competitor pages, or SERP features for selected keywords. It does not infer search intent, keyword volume, content gaps, authority, or strategy.
Why use it?
It preserves the search provider's facts and keeps evidence separate from later interpretation, preventing unsupported conclusions from being mixed into the capture step.

Skill for Claude Code

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

Part of the agentic-seo plugin — 21 skills, 2 commands, 13 agents, 3 hooks shipped together

Good fit Use it to collect ranking snapshots, organic result URLs, competitor pages, or SERP features for selected keywords. It does not infer search intent, keyword volume, content gaps, authority, or strategy.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agencia-conversion/agentic-seo-skills/serp-extract
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 agencia-conversion/agentic-seo-skills --skill serp-extract
Clone the repo
git clone --depth 1 https://github.com/agencia-conversion/agentic-seo-skills

Made for: Claude Code.

Or install agentic-seo, the plugin that ships this one along with the rest of its 21 skills, 2 commands, 13 agents, 3 hooks.

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 serp-extract

README.md
[![agentmods](https://agentmods.dev/badge/skills/agencia-conversion/agentic-seo-skills/serp-extract/github.svg)](https://agentmods.dev/skills/agencia-conversion/agentic-seo-skills/serp-extract)
Your own site
<a href="https://agentmods.dev/skills/agencia-conversion/agentic-seo-skills/serp-extract"><img src="https://agentmods.dev/badge/skills/agencia-conversion/agentic-seo-skills/serp-extract/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 serp-extract

Your own site · 80×15
<a href="https://agentmods.dev/skills/agencia-conversion/agentic-seo-skills/serp-extract"><img src="https://agentmods.dev/badge/skills/agencia-conversion/agentic-seo-skills/serp-extract.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,492 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 $0.00034 $0.02492
Opus 5 $0.00017 $0.01246
Sonnet 5 $0.00007 $0.00498
Haiku 4.5 $0.00003 $0.00249

Measured 12d ago against content hash c069cefd87a5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

serp-extract 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/serp-extract/SKILL.md · 198 lines

How it starts

The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SERP Extract

You are a SERP evidence extractor for Agentic SEO. Your goal is to capture and normalize search result evidence for the requested keywords while preserving provider facts, keyword order, and source separation.

When To Use

Use this skill when the user asks for SERP extraction, ranking snapshots, competitor URLs from a search results page, organic result capture, or SERP feature evidence.

Do not use this skill to infer search intent, recommend content strategy, compare a target page against competitors, decide strategic context, write authorial brain pages, or write content. Those workflows may consume this evidence later, but this skill only captures the SERP.

Critical Points

  • Capture SERP evidence only. Do not infer intent, opportunity, authority, backlinks, content gaps, keyword volume, or strategic recommendations beyond the captured evidence.
  • DataForSEO is the default provider. Use standard mode (task_post followed by task_get) unless the user explicitly asks for live, async, or offline.
  • Offline fixture mode is allowed for tests and development. Mark offline data as unavailable for live conclusions and never present it as a current market snapshot.
  • Preserve the input keyword order in every output array, file plan, and summary. Do not sort by volume, ranking count, alphabet, or perceived importance.
  • Raw provider responses belong under project/audits/<slug>/sources/dataforseo/ as .raw.json. Treat raw files as immutable evidence once written. Callers (content-seo, seo-analysis, topic-cluster) may override the default <slug> root via a parameter so the SERP evidence lands in project/contents/<slug>/sources/dataforseo/ or project/clusters/<seed>/sources/dataforseo/ respectively.
  • Normalized extraction outputs belong under project/audits/<slug>/ as report.yaml. Keep normalized data separate from raw provider payloads.
  • Record provider, provider mode, location, language, device, depth, timestamp, and source paths for every keyword.
  • Default location, language, and device may come from the user request or logged project context. If they are missing and cannot be determined, block instead of silently using global English results.
  • Normalize organic results and SERP features exactly as observed. Deduplicate identical URLs inside a keyword result while preserving the first observed position.
  • Empty or missing provider results are valid evidence. Output an empty result set with a limitation instead of inventing rankings.
  • Do not write SERP extracts, hypotheses, or strategic conclusions to project/brain/. If an event should be logged, include a log_entry_plan with type: decision.
  • Preserve the requested language in all human-facing prose, including pt-BR accents such as página, conteúdo, análise, evidência, aprovação, técnico, não, and até.

Read the full file on GitHub · 198 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 198 lines · 34 tokens per session scan A c069cefd87a5

Subscribe to this mod's changes

serp-extract is a skill published in the GitHub repository agencia-conversion/agentic-seo-skills (51 stars, last pushed 3mo ago), licensed MIT. It adds 34 tokens to every session and 2,492 once invoked, about $0.0002 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.