An audit of a codebase to see whether it can support programmatic SEO at a scale of 1,000 or more pages. Programmatic SEO means generating many search-focused pages from shared templates and structured data.

Use it to identify the framework, rendering method, routes, data sources, SEO fields, slug rules, and page-template readiness. It can also focus on page types and URL structures proposed by an earlier discovery step.

It reveals gaps before a large page system is built, such as weak routing, missing data fields, or an unreliable URL strategy. The result is a concrete list of findings and actions.

pseo-audit — Skill for Claude Code by lisbeth718/pseo-skills

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-audit

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/lisbeth718/pseo-skills/pseo-audit/github.svg)](https://agentmods.dev/skills/lisbeth718/pseo-skills/pseo-audit)

Your own site

<a href="https://agentmods.dev/skills/lisbeth718/pseo-skills/pseo-audit"><img src="https://agentmods.dev/badge/skills/lisbeth718/pseo-skills/pseo-audit/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/lisbeth718/pseo-skills/pseo-audit"><img src="https://agentmods.dev/badge/skills/lisbeth718/pseo-skills/pseo-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,589 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.

Model	Per session	Once invoked
Fable 5.1	$0.00062	$0.01589
Opus 5.5	$0.00025	$0.00636
Sonnet 5.5	$0.00012	$0.00318
Haiku 4.5	$0.00006	$0.00159

Measured 9d ago against content hash 28bf77c559e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pseo-audit 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.

- Raw-HTML parity: for a sample URL per template run `curl -s URL | grep -i -E '<h1|<a href'` and confirm the H1, main body text and internal `<a href>` links are in the server HTML, not client-only. Body checks are also

skills/pseo-audit/SKILL.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

pSEO Codebase Audit

Perform a structured audit of the codebase to assess readiness for programmatic SEO at 1000+ page scale. Produce a concrete gap analysis with actionable findings.

If pseo-discovery was run first, use its output to focus the audit: check whether the codebase can support the specific page types, data models, and URL structures the discovery proposed. If discovery was not run, audit generically.

Audit Procedure

1. Identify the Framework and Architecture

Detect the framework (Next.js, Astro, Nuxt, Remix, etc.) from config files
Identify the rendering strategy: SSG, SSR, ISR, or client-side
Map the routing structure: file-based, dynamic segments, catch-all routes
Check for generateStaticParams, getStaticPaths, or equivalent

2. Assess Data Architecture

Locate data sources: CMS, database, API, local files (JSON, MDX, CSV)
Check for a centralized data-fetching layer vs. scattered inline fetches
Evaluate whether data models have the fields needed for SEO (title, description, slug, category, FAQ, etc.)
Look for a slug/URL generation strategy and whether it enforces uniqueness

3. Evaluate Routing and Page Templates

Count dynamic route segments and template pages
Check if templates produce unique content per page or rely on the same copy with minor variable swaps
Look for catch-all routes that may create orphan or thin pages
Verify 404 handling for invalid slugs, and for empty or nonsensical combinations (faceted/filter/location combos with no data must return a real 404 at the URL, not a redirect to a generic error page)
Next.js streaming soft-404 (notFound() after Suspense returns 200 + noindex): existence check must run before any Suspense fallback. Rules in pseo-templates section 6a
Raw-HTML parity: for a sample URL per template run curl -s URL | grep -i -E '<h1|<a href' and confirm the H1, main body text and internal <a href> links are in the server HTML, not client-only. Body checks are also covered by seo-regression-guard
URL check: slugs use hyphens, not underscores (Google URL structure doc, 2026-10-23); flag _ in generated URLs

Read the full file on GitHub · 137 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.

9d ago Changed · +1 lines 28bf77c559e3
26d ago Changed · +9 lines 6784abd11725
2mo ago First seen · 127 lines · 62 tokens per session scan A b07ee59a859a

Subscribe to this mod's changes

pseo-audit is a skill published in the GitHub repository lisbeth718/pseo-skills (55 stars, last pushed 9d ago), licensed MIT. It adds 62 tokens to every session and 1,589 once invoked, about $0.0002 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.

Analytics and metrics Marketing and SEO

pseo-audit next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
pseo-auditlisbeth718/pseo-skills	Skill	55	9d ago	MIT	A	62	Claude Code
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

pseo-audit