pseo-scale

pseo-scale is a skill for Claude Code from lisbeth718/pseo-skills. It costs 80 tokens per session (6,275 once invoked), scanned A, original, MIT.

An architecture guide for programmatic SEO systems with 10,000 or more pages. Programmatic SEO creates many pages from structured data, and this guide covers databases, incremental checks, crawl-budget management, content enrichment, and staged delivery.

In plain words
What is it for?
Designing data-backed page generation, validating only changed content, managing large sitemaps, improving indexing workflows, and planning staged releases for very large sites.
Why use it?
Large sites can run out of memory, validate too much at once, or publish pages faster than search engines can crawl them. The guide replaces small-site approaches with scalable ones.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: positional $N argument.

Good fit Designing data-backed page generation, validating only changed content, managing large sitemaps, improving indexing workflows, and planning staged releases for very large sites.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lisbeth718/pseo-skills/pseo-scale
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-scale
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-scale

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/lisbeth718/pseo-skills/pseo-scale"><img src="https://agentmods.dev/badge/skills/lisbeth718/pseo-skills/pseo-scale.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,275 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 $0.00080 $0.06275
Opus 5.5 $0.00032 $0.02510
Sonnet 5.5 $0.00016 $0.01255
Haiku 4.5 $0.00008 $0.00628

Measured 9d ago against content hash f783a04b6191, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pseo-scale 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 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.

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/pseo-scale/SKILL.md · 536 lines

How it starts

The opening of the file, as written. The whole thing — 536 lines — stays where its author put it; the contents beside it link to each section on GitHub.

pSEO Scale Architecture

Scope parameter

Value Sections
database 1
gating 2
enrichment 3
validation 4
crawl 5
monitoring 6
cdn 7, 8
all everything

Architect pSEO systems that work at 10K-100K+ pages. The patterns in the other pseo-* skills are correct at 1K-10K. Beyond 10K, in-memory data layers, full-corpus validation, and single-deploy rollouts break down. This skill provides the architecture changes needed at scale.

Scale Tiers

Tier Pages Data Layer Validation Rollout Sitemap
Tiny < 100 JSON/files, in-memory Full pairwise Single deploy Single file
Small 100-1K JSON/files, in-memory Full pairwise 1-4 weeks in batches of 50-200 Single file
Medium 1K-10K Files or DB, two-tier memory Fingerprint-based 4-8 weeks in batches Index + children
Large 10K-50K Database required Incremental + sampling Category-by-category Index + chunked
Very Large 50K-100K+ Database + cache layer Delta-only + periodic full ISR + sitemap waves Index + streaming

Rollout pacing in this table is an operational heuristic shared with pseo-performance, not a Google rule.

This skill focuses on the Large and Very Large tiers. If the project is under 10K pages, the standard pseo-* skills are sufficient.

1. Database-Backed Data Layer

At 10K+ pages, JSON files and in-memory arrays stop working. The data layer must move to a database with proper indexing.

Why In-Memory Breaks

Pages    PageIndex in memory    Full content (if loaded)
1K       ~1MB                   ~100-500MB
10K      ~10MB                  ~1-5GB (OOM)
50K      ~50MB (borderline)     ~5-25GB (impossible)
100K     ~100MB                 ~10-50GB (impossible)

At 50K+, even holding all PageIndex records in memory is borderline. At 100K, getAllSlugs() returning an array of 100K objects takes ~100MB and seconds to deserialize. You need cursor-based iteration.

Read the full file on GitHub · 536 lines

Files

What ships with it

4 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. 9d ago Changed · -76 lines f783a04b6191
  2. 26d ago Changed · +32 lines c77cd2001124
  3. 2mo ago First seen · 580 lines · 80 tokens per session scan A 01d83e35e8be

Subscribe to this mod's changes

pseo-scale is a skill published in the GitHub repository lisbeth718/pseo-skills (55 stars, last pushed 9d ago), licensed MIT. It adds 80 tokens to every session and 6,275 once invoked, about $0.0003 per session on Opus 5.5. 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.

Related

pseo-scale compared with skills from other repositories

pseo-scale next to 6 skills from other repositories
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