pseo-metadata

pseo-metadata is a skill for Claude Code from lisbeth718/pseo-skills. It costs 66 tokens per session (2,590 once invoked), scanned A, original, MIT.

A system for generating search-engine and social-sharing details for each page created from structured data. It sets page titles, descriptions, preferred URLs, and preview information for services such as Google, Facebook, and Twitter.

In plain words
What is it for?
Use it when building or fixing programmatic SEO pages—pages generated from data, such as one page per product, location, or category. It helps create title tags, descriptions, canonical URLs, Open Graph tags, and Twitter cards from page data.
Why use it?
It prevents many automatically created pages from sharing missing, duplicated, or inaccurate search and social metadata. This helps each page describe its own content and preferred web address.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it when building or fixing programmatic SEO pages—pages generated from data, such as one page per product, location, or category. It helps create title tags, descriptions, canonical URLs, Open Graph tags, and Twitter cards from page data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lisbeth718/pseo-skills/pseo-metadata
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 lisbeth718/pseo-skills --skill pseo-metadata
Clone the repo
git clone --depth 1 https://github.com/lisbeth718/pseo-skills

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 pseo-metadata

README.md
[![agentmods](https://agentmods.dev/badge/skills/lisbeth718/pseo-skills/pseo-metadata/github.svg)](https://agentmods.dev/skills/lisbeth718/pseo-skills/pseo-metadata)
Your own site
<a href="https://agentmods.dev/skills/lisbeth718/pseo-skills/pseo-metadata"><img src="https://agentmods.dev/badge/skills/lisbeth718/pseo-skills/pseo-metadata/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 pseo-metadata

Your own site · 80×15
<a href="https://agentmods.dev/skills/lisbeth718/pseo-skills/pseo-metadata"><img src="https://agentmods.dev/badge/skills/lisbeth718/pseo-skills/pseo-metadata.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,590 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 $0.00066 $0.02590
Opus 5.5 $0.00026 $0.01036
Sonnet 5.5 $0.00013 $0.00518
Haiku 4.5 $0.00007 $0.00259

Measured 9d ago against content hash ee71ddd343e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pseo-metadata 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 9d 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.

- Verify with `curl -s URL | grep -i canonical` and check the tag appears inside `<head>`. This placement advice is an inference from Google's docs, not a Google guarantee.
skills/pseo-metadata/SKILL.md · 229 lines

How it starts

The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.

pSEO Dynamic Metadata

Implement a metadata system that generates unique, accurate SEO tags for every programmatic page.

Core Principles

  1. Every page gets unique metadata: No two pages share the same title or description
  2. Data-driven generation: Metadata is constructed from structured content fields, not hardcoded
  3. Canonical by default: Every page declares its canonical URL, in the <head> of the initial HTML
  4. Social-ready: Open Graph and Twitter cards are complete on every page, with a page-specific or per-category image (never one site-wide placeholder)
  5. Framework-native: Use the framework's built-in metadata API

Scope parameter

all (default) = everything. titles = section 2, descriptions = section 3, canonical = section 4 (and 8a), opengraph = section 5, twitter = section 6, robots = sections 7, 7a, 7b, export = sections 8 and 8a, i18n = section 9.

Implementation Steps

1. Create the Metadata Generator

Build a centralized function that constructs metadata from page data:

Next.js App Router pattern:

// lib/metadata.ts
import type { Metadata } from "next";

export function generatePageMetadata(data: PageData, baseUrl: string): Metadata {
  const title = buildTitle(data);
  const description = buildDescription(data);
  const canonicalUrl = `${baseUrl}${data.canonicalPath}`;

  return {
    title,
    description,
    alternates: { canonical: canonicalUrl },
    openGraph: {
      title,
      description,
      url: canonicalUrl,
      type: "article",
      siteName: "Site Name",
      // images: [{ url, width, height, alt }],
    },
    twitter: {
      card: "summary_large_image",
      title,
      description,
      // images: [url],
    },
  };
}

2. Build Title Construction Logic

Titles must be:

  • Unique across all pages (validate with pseo-quality-guard)
  • 50-60 characters target length (hard cap at 70)
  • Front-loaded with the primary keyword
  • Accurate to the page: Google may rewrite titles that are stuffed, boilerplate or do not describe the page. Do not fight rewrites with more keywords; make the title and H1 agree and describe the content.
  • Multi-dimensional: Use 2+ data fields to construct, not just one variable

Read the full file on GitHub · 229 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. 9d ago Changed · -1 lines ee71ddd343e4
  2. 26d ago Changed · +55 lines 9ac10dc1d226
  3. 2mo ago First seen · 175 lines · 66 tokens per session scan A 6a158ae28093

Subscribe to this mod's changes

pseo-metadata is a skill published in the GitHub repository lisbeth718/pseo-skills (55 stars, last pushed 9d ago), licensed MIT. It adds 66 tokens to every session and 2,590 once invoked, about $0.0003 per session on Opus 5.5. 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

pseo-metadata compared with skills from other repositories

pseo-metadata next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
pseo-metadatalisbeth718/pseo-skillsSkill559d agoMITA66Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code