pseo-discovery

pseo-discovery is a skill for Claude Code from lisbeth718/pseo-skills. It costs 80 tokens per session (2,619 once invoked), scanned A, original, MIT.

A discovery process for programmatic SEO, meaning the creation of many search-friendly pages from structured data. It examines a codebase and business context to find useful page types, available data, and matching search goals.

In plain words
What is it for?
Use it at the start of a programmatic SEO project to evaluate products, locations, services, listings, articles, or other data that could support page generation.
Why use it?
It helps decide what pages are worth generating before investing in templates or data pipelines, while checking that the pages can contain genuinely useful information.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Claude Code.

Good fit Use it at the start of a programmatic SEO project to evaluate products, locations, services, listings, articles, or other data that could support page generation.

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Install with agentmods
npx agentmods add skills/lisbeth718/pseo-skills/pseo-discovery
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-discovery
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-discovery

README.md
[![agentmods](https://agentmods.dev/badge/skills/lisbeth718/pseo-skills/pseo-discovery.svg)](https://agentmods.dev/skills/lisbeth718/pseo-skills/pseo-discovery)
Your own site
<a href="https://agentmods.dev/skills/lisbeth718/pseo-skills/pseo-discovery"><img src="https://agentmods.dev/badge/skills/lisbeth718/pseo-skills/pseo-discovery.svg" alt="Measured on agentmods" 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 2,619 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 $0.02619
Opus 5 $0.00040 $0.01309
Sonnet 5 $0.00016 $0.00524
Haiku 4.5 $0.00008 $0.00262

Measured 8d ago against content hash c8f5e10b74b2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

pseo-discovery 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 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.

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-discovery/SKILL.md · 249 lines

How it starts

The opening of the file, as written. The whole thing — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.

pSEO Discovery

Analyze the codebase, business context, and market to determine what programmatic SEO pages can and should be built. This skill answers the question: "What should we generate, and do we have the data to do it?"

This skill runs BEFORE pseo-audit. The audit checks if the codebase is ready; this skill figures out what to build.

Core Principles

  1. Data-first: Only propose page types backed by structured data that exists or can be sourced
  2. Intent-matched: Every proposed page type must target a real search intent with volume
  3. Differentiated: Each page must be able to produce genuinely unique content — not just variable swaps
  4. Feasible: Proposals must be realistic given the current data, codebase, and team capacity
  5. Business-aligned: pSEO pages should serve the business's actual audience and goals

Discovery Procedure

1. Explore the Codebase for Data Assets

Search the codebase for existing structured data that could power pages:

Database/ORM models:

  • Search for schema definitions (Prisma, Drizzle, TypeORM, Mongoose, SQL migrations)
  • Identify entities with many records (products, locations, services, users, listings, articles)
  • Note which entities have rich attributes (descriptions, categories, images, metadata)

CMS content types:

  • Check for headless CMS configs (Contentful, Sanity, Strapi, etc.)
  • Identify content types and their field schemas
  • Count records per content type

API endpoints:

  • Map all API routes and their response shapes
  • Identify list endpoints that return collections of entities
  • Check for paginated endpoints (signals large datasets)

Static data files:

  • Search for JSON, CSV, YAML, MDX files in data/, content/, src/data/ directories
  • Count records and inspect field richness
  • Check for categorization or taxonomy structures

What to extract per data source:

  • Entity name and count (e.g., "2,500 products", "150 cities", "80 services")
  • Available fields (especially: name, description, category, attributes, images)
  • Relationships between entities (product → category, service → location)
  • Data freshness (how often updated, is there a lastModified field)

Read the full file on GitHub · 249 lines

Files

What ships with it

1 file 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. 8d ago First seen · 249 lines · 80 tokens per session scan A c8f5e10b74b2

Subscribe to this mod's changes

pseo-discovery is a skill published in the GitHub repository lisbeth718/pseo-skills (53 stars, last pushed 7mo ago), licensed MIT. It adds 80 tokens to every session and 2,619 once invoked, about $0.0004 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.

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