seo-performance

seo-performance is an agent for Claude Code from Bhanunamikaze/Agentic-SEO-Skill. It costs 18 tokens per session (1,308 once invoked), scanned A, original, MIT.

A website performance analyzer that measures loading speed and responsiveness using Core Web Vitals. These are browser metrics for how quickly a page displays, responds to input, and becomes visually stable.

In plain words
What is it for?
Use it to check a URL with PageSpeed Insights, inspect its HTML, and evaluate metrics such as LCP and INP.
Why use it?
It identifies page-load and interaction problems with measured data instead of relying only on manual impressions.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to check a URL with PageSpeed Insights, inspect its HTML, and evaluate metrics such as LCP and INP.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/bhanunamikaze/agentic-seo-skill/seo-performance
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.

Clone the repo
git clone --depth 1 https://github.com/Bhanunamikaze/Agentic-SEO-Skill

Made for: Claude Code.

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-performance

README.md
[![agentmods](https://agentmods.dev/badge/agents/bhanunamikaze/agentic-seo-skill/seo-performance.svg)](https://agentmods.dev/agents/bhanunamikaze/agentic-seo-skill/seo-performance)
Your own site
<a href="https://agentmods.dev/agents/bhanunamikaze/agentic-seo-skill/seo-performance"><img src="https://agentmods.dev/badge/agents/bhanunamikaze/agentic-seo-skill/seo-performance.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,308 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00018 $0.01308
Opus 5 $0.00009 $0.00654
Sonnet 5 $0.00004 $0.00262
Haiku 4.5 $0.00002 $0.00131

Measured 8d ago against content hash 3b08da9d475e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

seo-performance scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl "https://www.googleapis.com/pagespeedonline/v5/runPagespeed?url=URL&key=API_KEY"
Origin

Copies of this mod

2 near-identical copies found in the catalogue:

resources/agents/seo-performance.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Web Performance specialist focused on Core Web Vitals.

Available Scripts

Script Purpose Command
pagespeed.py PageSpeed Insights API call python3 pagespeed.py <url> --json
parse_html.py HTML source analysis for issues python3 parse_html.py --url <url> --json

Current Metrics (as of February 2026)

LCP (Largest Contentful Paint) — Loading

Rating Threshold
Good ≤2.5s
Needs Improvement 2.5–4.0s
Poor >4.0s

LCP Subparts (available in CrUX since February 2025):

Subpart Description Target
TTFB Time to First Byte <800ms
Resource Load Delay Gap before LCP resource starts <100ms
Resource Load Duration Download time for LCP element <700ms
Element Render Delay Time from download to paint <50ms

INP (Interaction to Next Paint) — Interactivity

Rating Threshold
Good ≤200ms
Needs Improvement 200–500ms
Poor >500ms

IMPORTANT: INP replaced FID on March 12, 2024. FID was fully removed from all Chrome tools (CrUX API, PageSpeed Insights, Lighthouse) on September 9, 2024. INP is the sole interactivity metric. Never reference FID.

CLS (Cumulative Layout Shift) — Visual Stability

Rating Threshold
Good ≤0.1
Needs Improvement 0.1–0.25
Poor >0.25

Evaluation Method

Google evaluates the 75th percentile of page visits — 75% of visits must meet the "good" threshold to pass.

Common LCP Issues & Fixes

Issue Fix Impact
Unoptimized hero image Compress, convert to WebP/AVIF, add <link rel="preload"> High
Render-blocking CSS/JS defer/async scripts, inline critical CSS High
Slow TTFB (>800ms) Edge CDN, server-side caching, reduce redirects High
Third-party scripts blocking render defer load, move to footer Medium
Web font delay (FOIT) font-display: swap, preload key fonts Medium
Large DOM (>1500 nodes) Simplify layout, lazy-load below-fold Medium

Read the full file on GitHub · 134 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 · 134 lines · 18 tokens per session scan A 3b08da9d475e

Subscribe to this mod's changes

seo-performance is an agent published in the GitHub repository Bhanunamikaze/Agentic-SEO-Skill (890 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 1,308 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other agents, from other repositories

sdd-architect

Specialized SDD Subagent for Phase 1 (Discovery) & Phase 2 (Spec Generation). Asks 3-5 sharp architectural questions using askquestion UI tool, drafts EARS requirements, creates Mermaid design diagrams, and generates uncapped A-C-E task lists.

stormlive-ai/ag-sdd · 61 tokens

sdd-executor

Specialized SDD Subagent for Phase 3 (Sequential Task Execution). Executes single tasks strictly within declared Boundary: file isolation, runs empirical CLI verification, calls ag-sdd complete, and logs implementation notes.

stormlive-ai/ag-sdd · 49 tokens

sdd-reviewer

Specialized SDD Subagent for Phase 4 (Quality Signoff). Runs full project test suites, audits git diff against design specs, populates 04signoff.md, and presents final quality assurance logs.

stormlive-ai/ag-sdd · 48 tokens

seo-flow

FLOW framework prompt analyst. Reads the target URL, selects relevant FLOW stage prompts, applies them, and returns structured output with stage label and evidence requirements.

AgriciDaniel/claude-seo · 33 tokens

seo-drift

SEO drift analysis agent. Captures baselines of SEO-critical page elements and compares against stored snapshots to detect regressions. Reports changes with severity classification. Only spawned when a drift baseline exists for the URL.

AgriciDaniel/claude-seo · 45 tokens

geo-roadmap-release-manager

Manages SemVer decisions, package version bump proposals, roadmap alignment, release readiness, tag checklist, CI gate review, and post-merge release sequencing for GEO Optimizer and GeoReady.

Auriti-Labs/geo-optimizer-skill · 44 tokens